Optimization of abdominal fat quantification on CT imaging through use of standardized anatomic space: A novel approach
Purpose: The quantification of body fat plays an important role in the study of numerous diseases. It is common current practice to use the fat area at a single abdominal computed tomography (CT) slice as a marker of the body fat content in studying various disease processes. This paper sets out to...
Saved in:
| Published in | Medical physics (Lancaster) Vol. 41; no. 6; pp. 063501 - n/a |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
American Association of Physicists in Medicine
01.06.2014
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Purpose:
The quantification of body fat plays an important role in the study of numerous diseases. It is common current practice to use the fat area at a single abdominal computed tomography (CT) slice as a marker of the body fat content in studying various disease processes. This paper sets out to answer three questions related to this issue which have not been addressed in the literature. At what single anatomic slice location do the areas of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) estimated from the slice correlate maximally with the corresponding fat volume measures? How does one ensure that the slices used for correlation calculation from different subjects are at the same anatomic location? Are there combinations of multiple slices (not necessarily contiguous) whose area sum correlates better with volume than does single slice area with volume?
Methods:
The authors propose a novel strategy for mapping slice locations to a standardized anatomic space so that same anatomic slice locations are identified in different subjects. The authors then study the volume-to-area correlations and determine where they become maximal. To address the third issue, the authors carry out similar correlation studies by utilizing two and three slices for calculating area sum.
Results:
Based on 50 abdominal CT data sets, the proposed mapping achieves significantly improved consistency of anatomic localization compared to current practice. Maximum correlations are achieved at different anatomic locations for SAT and VAT which are both different from the L4-L5 junction commonly utilized currently for single slice area estimation as a marker.
Conclusions:
The maximum area-to-volume correlation achieved is quite high, suggesting that it may be reasonable to estimate body fat by measuring the area of fat from a single anatomic slice at the site of maximum correlation and use this as a marker. The site of maximum correlation is not at L4-L5 as commonly assumed, but is more superiorly located at T12-L1 for SAT and at L3-L4 for VAT. Furthermore, the optimal anatomic locations for SAT and VAT estimation are not the same, contrary to common assumption. The proposed standardized space mapping achieves high consistency of anatomic localization by accurately managing nonlinearities in the relationships among landmarks. Multiple slices achieve greater improvement in correlation for VAT than for SAT. The optimal locations in the case of multiple slices are not contiguous. |
|---|---|
| AbstractList | Purpose:
The quantification of body fat plays an important role in the study of numerous diseases. It is common current practice to use the fat area at a single abdominal computed tomography (CT) slice as a marker of the body fat content in studying various disease processes. This paper sets out to answer three questions related to this issue which have not been addressed in the literature. At what single anatomic slice location do the areas of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) estimated from the slice correlate maximally with the corresponding fat volume measures? How does one ensure that the slices used for correlation calculation from different subjects are at the same anatomic location? Are there combinations of multiple slices (not necessarily contiguous) whose area sum correlates better with volume than does single slice area with volume?
Methods:
The authors propose a novel strategy for mapping slice locations to a standardized anatomic space so that same anatomic slice locations are identified in different subjects. The authors then study the volume‐to‐area correlations and determine where they become maximal. To address the third issue, the authors carry out similar correlation studies by utilizing two and three slices for calculating area sum.
Results:
Based on 50 abdominal CT data sets, the proposed mapping achieves significantly improved consistency of anatomic localization compared to current practice. Maximum correlations are achieved at different anatomic locations for SAT and VAT which are both different from the L4‐L5 junction commonly utilized currently for single slice area estimation as a marker.
Conclusions:
The maximum area‐to‐volume correlation achieved is quite high, suggesting that it may be reasonable to estimate body fat by measuring the area of fat from a single anatomic slice at the site of maximum correlation and use this as a marker. The site of maximum correlation is not at L4‐L5 as commonly assumed, but is more superiorly located at T12‐L1 for SAT and at L3‐L4 for VAT. Furthermore, the optimal anatomic locations for SAT and VAT estimation are not the same, contrary to common assumption. The proposed standardized space mapping achieves high consistency of anatomic localization by accurately managing nonlinearities in the relationships among landmarks. Multiple slices achieve greater improvement in correlation for VAT than for SAT. The optimal locations in the case of multiple slices are not contiguous. The quantification of body fat plays an important role in the study of numerous diseases. It is common current practice to use the fat area at a single abdominal computed tomography (CT) slice as a marker of the body fat content in studying various disease processes. This paper sets out to answer three questions related to this issue which have not been addressed in the literature. At what single anatomic slice location do the areas of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) estimated from the slice correlate maximally with the corresponding fat volume measures? How does one ensure that the slices used for correlation calculation from different subjects are at the same anatomic location? Are there combinations of multiple slices (not necessarily contiguous) whose area sum correlates better with volume than does single slice area with volume? The authors propose a novel strategy for mapping slice locations to a standardized anatomic space so that same anatomic slice locations are identified in different subjects. The authors then study the volume-to-area correlations and determine where they become maximal. To address the third issue, the authors carry out similar correlation studies by utilizing two and three slices for calculating area sum. Based on 50 abdominal CT data sets, the proposed mapping achieves significantly improved consistency of anatomic localization compared to current practice. Maximum correlations are achieved at different anatomic locations for SAT and VAT which are both different from the L4-L5 junction commonly utilized currently for single slice area estimation as a marker. The maximum area-to-volume correlation achieved is quite high, suggesting that it may be reasonable to estimate body fat by measuring the area of fat from a single anatomic slice at the site of maximum correlation and use this as a marker. The site of maximum correlation is not at L4-L5 as commonly assumed, but is more superiorly located at T12-L1 for SAT and at L3-L4 for VAT. Furthermore, the optimal anatomic locations for SAT and VAT estimation are not the same, contrary to common assumption. The proposed standardized space mapping achieves high consistency of anatomic localization by accurately managing nonlinearities in the relationships among landmarks. Multiple slices achieve greater improvement in correlation for VAT than for SAT. The optimal locations in the case of multiple slices are not contiguous. Purpose: The quantification of body fat plays an important role in the study of numerous diseases. It is common current practice to use the fat area at a single abdominal computed tomography (CT) slice as a marker of the body fat content in studying various disease processes. This paper sets out to answer three questions related to this issue which have not been addressed in the literature. At what single anatomic slice location do the areas of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) estimated from the slice correlate maximally with the corresponding fat volume measures? How does one ensure that the slices used for correlation calculation from different subjects are at the same anatomic location? Are there combinations of multiple slices (not necessarily contiguous) whose area sum correlates better with volume than does single slice area with volume? Methods: The authors propose a novel strategy for mapping slice locations to a standardized anatomic space so that same anatomic slice locations are identified in different subjects. The authors then study the volume-to-area correlations and determine where they become maximal. To address the third issue, the authors carry out similar correlation studies by utilizing two and three slices for calculating area sum. Results: Based on 50 abdominal CT data sets, the proposed mapping achieves significantly improved consistency of anatomic localization compared to current practice. Maximum correlations are achieved at different anatomic locations for SAT and VAT which are both different from the L4-L5 junction commonly utilized currently for single slice area estimation as a marker. Conclusions: The maximum area-to-volume correlation achieved is quite high, suggesting that it may be reasonable to estimate body fat by measuring the area of fat from a single anatomic slice at the site of maximum correlation and use this as a marker. The site of maximum correlation is not at L4-L5 as commonly assumed, but is more superiorly located at T12-L1 for SAT and at L3-L4 for VAT. Furthermore, the optimal anatomic locations for SAT and VAT estimation are not the same, contrary to common assumption. The proposed standardized space mapping achieves high consistency of anatomic localization by accurately managing nonlinearities in the relationships among landmarks. Multiple slices achieve greater improvement in correlation for VAT than for SAT. The optimal locations in the case of multiple slices are not contiguous. The quantification of body fat plays an important role in the study of numerous diseases. It is common current practice to use the fat area at a single abdominal computed tomography (CT) slice as a marker of the body fat content in studying various disease processes. This paper sets out to answer three questions related to this issue which have not been addressed in the literature. At what single anatomic slice location do the areas of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) estimated from the slice correlate maximally with the corresponding fat volume measures? How does one ensure that the slices used for correlation calculation from different subjects are at the same anatomic location? Are there combinations of multiple slices (not necessarily contiguous) whose area sum correlates better with volume than does single slice area with volume?PURPOSEThe quantification of body fat plays an important role in the study of numerous diseases. It is common current practice to use the fat area at a single abdominal computed tomography (CT) slice as a marker of the body fat content in studying various disease processes. This paper sets out to answer three questions related to this issue which have not been addressed in the literature. At what single anatomic slice location do the areas of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) estimated from the slice correlate maximally with the corresponding fat volume measures? How does one ensure that the slices used for correlation calculation from different subjects are at the same anatomic location? Are there combinations of multiple slices (not necessarily contiguous) whose area sum correlates better with volume than does single slice area with volume?The authors propose a novel strategy for mapping slice locations to a standardized anatomic space so that same anatomic slice locations are identified in different subjects. The authors then study the volume-to-area correlations and determine where they become maximal. To address the third issue, the authors carry out similar correlation studies by utilizing two and three slices for calculating area sum.METHODSThe authors propose a novel strategy for mapping slice locations to a standardized anatomic space so that same anatomic slice locations are identified in different subjects. The authors then study the volume-to-area correlations and determine where they become maximal. To address the third issue, the authors carry out similar correlation studies by utilizing two and three slices for calculating area sum.Based on 50 abdominal CT data sets, the proposed mapping achieves significantly improved consistency of anatomic localization compared to current practice. Maximum correlations are achieved at different anatomic locations for SAT and VAT which are both different from the L4-L5 junction commonly utilized currently for single slice area estimation as a marker.RESULTSBased on 50 abdominal CT data sets, the proposed mapping achieves significantly improved consistency of anatomic localization compared to current practice. Maximum correlations are achieved at different anatomic locations for SAT and VAT which are both different from the L4-L5 junction commonly utilized currently for single slice area estimation as a marker.The maximum area-to-volume correlation achieved is quite high, suggesting that it may be reasonable to estimate body fat by measuring the area of fat from a single anatomic slice at the site of maximum correlation and use this as a marker. The site of maximum correlation is not at L4-L5 as commonly assumed, but is more superiorly located at T12-L1 for SAT and at L3-L4 for VAT. Furthermore, the optimal anatomic locations for SAT and VAT estimation are not the same, contrary to common assumption. The proposed standardized space mapping achieves high consistency of anatomic localization by accurately managing nonlinearities in the relationships among landmarks. Multiple slices achieve greater improvement in correlation for VAT than for SAT. The optimal locations in the case of multiple slices are not contiguous.CONCLUSIONSThe maximum area-to-volume correlation achieved is quite high, suggesting that it may be reasonable to estimate body fat by measuring the area of fat from a single anatomic slice at the site of maximum correlation and use this as a marker. The site of maximum correlation is not at L4-L5 as commonly assumed, but is more superiorly located at T12-L1 for SAT and at L3-L4 for VAT. Furthermore, the optimal anatomic locations for SAT and VAT estimation are not the same, contrary to common assumption. The proposed standardized space mapping achieves high consistency of anatomic localization by accurately managing nonlinearities in the relationships among landmarks. Multiple slices achieve greater improvement in correlation for VAT than for SAT. The optimal locations in the case of multiple slices are not contiguous. |
| Author | Tong, Yubing Udupa, Jayaram K. Torigian, Drew A. |
| Author_xml | – sequence: 1 givenname: Yubing surname: Tong fullname: Tong, Yubing organization: Department of Radiology, Medical Image Processing Group, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6021 – sequence: 2 givenname: Jayaram K. surname: Udupa fullname: Udupa, Jayaram K. email: jay@mail.med.upenn.edu organization: Department of Radiology, Medical Image Processing Group, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6021 – sequence: 3 givenname: Drew A. surname: Torigian fullname: Torigian, Drew A. organization: Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104-6021 |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24877839$$D View this record in MEDLINE/PubMed https://www.osti.gov/biblio/22412507$$D View this record in Osti.gov |
| BookMark | eNp9kc1q3DAUhUVJaSZpF32BIuimBJzqx7bsLgphaNpCSrpI1-JalsYKtuRY8oTk6StnpkNKoQtxF-e75x5xTtCR804j9JaSc0pp9ZGe55UomSheoBXLBc9yRuojtCKkzjOWk-IYnYRwSwgpeUFeoWOWeFHxeoXur8doB_sI0XqHvcHQtH6wDnpsIOK7GVy0xqq97vD6BtsBNtZtcOwmP286PAe9bIYIroWptY-6xeAgJh-FwwhKf8IX2Pmt7jGM4-RBda_RSwN90G_28xT9uvxys_6WXV1__b6-uMpuC8KLrFRNZQQxFWOmaRqghjeQHmlqLaqqZbqgAJSXIHQuSmJEXrJGEA2E8ATxU_R55zvOzaBbpV2coJfjlD4xPUgPVv6tONvJjd_KnHCW08Xg_c7Ah2hlUDZq1SnvnFZRsoSwgohEfdifmfzdrEOUgw1K9z047ecgacFpXZT8CX33PNEhyp9OEpDtgHvb64eDTolcypZU7suWP34uI_FnO34J99TTYWfrp2f82Jr_wf8c4L8BYxi66A |
| CODEN | MPHYA6 |
| ContentType | Journal Article |
| Copyright | American Association of Physicists in Medicine 2014 American Association of Physicists in Medicine Copyright © 2014 American Association of Physicists in Medicine 2014 American Association of Physicists in Medicine |
| Copyright_xml | – notice: American Association of Physicists in Medicine – notice: 2014 American Association of Physicists in Medicine – notice: Copyright © 2014 American Association of Physicists in Medicine 2014 American Association of Physicists in Medicine |
| DBID | CGR CUY CVF ECM EIF NPM 7X8 OTOTI 5PM |
| DOI | 10.1118/1.4876275 |
| DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic OSTI.GOV PubMed Central (Full Participant titles) |
| DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine Physics |
| EISSN | 2473-4209 0094-2405 |
| EndPage | n/a |
| ExternalDocumentID | PMC4032419 22412507 24877839 MP6275 |
| Genre | article Journal Article Research Support, N.I.H., Extramural |
| GrantInformation_xml | – fundername: DHHS funderid: HL105212 – fundername: NHLBI NIH HHS grantid: R01 HL105212 – fundername: NHLBI NIH HHS grantid: HL105212 |
| GroupedDBID | --- --Z -DZ .GJ 0R~ 1OB 1OC 29M 2WC 33P 36B 3O- 4.4 476 53G 5GY 5RE 5VS AAHHS AANLZ AAQQT AASGY AAXRX AAZKR ABCUV ABEFU ABFTF ABJNI ABLJU ABQWH ABTAH ABXGK ACAHQ ACBEA ACCFJ ACCZN ACGFO ACGFS ACGOF ACPOU ACSMX ACXBN ACXQS ADBBV ADBTR ADKYN ADOZA ADXAS ADZMN AEEZP AEGXH AEIGN AENEX AEQDE AEUYR AFBPY AFFPM AHBTC AIACR AIAGR AIURR AIWBW AJBDE ALMA_UNASSIGNED_HOLDINGS ALUQN AMYDB ASPBG BFHJK C45 CS3 DCZOG DRFUL DRMAN DRSTM DU5 EBD EBS EJD EMB EMOBN F5P G8K HDBZQ HGLYW I-F KBYEO LATKE LEEKS LOXES LUTES LYRES MEWTI O9- OVD P2P P2W PALCI PHY RJQFR RNS ROL SAMSI SUPJJ SV3 TEORI TN5 TWZ USG WOHZO WXSBR XJT ZGI ZVN ZXP ZY4 ZZTAW AAHQN AAIPD AAMNL AAYCA ABDPE AFWVQ AITYG ALVPJ AAMMB ADMLS AEFGJ AEYWJ AGHNM AGXDD AGYGG AIDQK AIDYY CGR CUY CVF ECM EIF NPM 7X8 AAJUZ AAPBV ABCVL ABPTK ADDAD AEUQT OTOTI 5PM |
| ID | FETCH-LOGICAL-j5035-6cb8f70f822fbbba1f3baf3b0b9e788d2e51aa136a7e4760f7462b70ea0030b93 |
| ISSN | 0094-2405 2473-4209 |
| IngestDate | Thu Aug 21 14:08:41 EDT 2025 Thu May 18 18:33:45 EDT 2023 Fri Jul 11 10:20:09 EDT 2025 Mon Jul 21 06:01:28 EDT 2025 Wed Jan 22 16:50:49 EST 2025 Fri Jun 21 00:28:34 EDT 2024 Sun Jul 14 10:05:21 EDT 2019 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 6 |
| Keywords | CT fat quantification landmarks obesity |
| Language | English |
| License | 0094-2405/2014/41(6)/063501/11/$30.00 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-j5035-6cb8f70f822fbbba1f3baf3b0b9e788d2e51aa136a7e4760f7462b70ea0030b93 |
| Notes | jay@mail.med.upenn.edu Telephone: 215‐662‐6783; Fax: 215‐349‐8426. Author to whom correspondence should be addressed. Electronic mail ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Author to whom correspondence should be addressed. Electronic mail: jay@mail.med.upenn.edu; Telephone: 215-662-6783; Fax: 215-349-8426. |
| OpenAccessLink | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1118/1.4876275 |
| PMID | 24877839 |
| PQID | 1531956307 |
| PQPubID | 23479 |
| PageCount | 11 |
| ParticipantIDs | scitation_primary_10_1118_1_4876275 osti_scitechconnect_22412507 pubmedcentral_primary_oai_pubmedcentral_nih_gov_4032419 proquest_miscellaneous_1531956307 pubmed_primary_24877839 wiley_primary_10_1118_1_4876275_MP6275 |
| PublicationCentury | 2000 |
| PublicationDate | June 2014 |
| PublicationDateYYYYMMDD | 2014-06-01 |
| PublicationDate_xml | – month: 06 year: 2014 text: June 2014 |
| PublicationDecade | 2010 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States |
| PublicationTitle | Medical physics (Lancaster) |
| PublicationTitleAlternate | Med Phys |
| PublicationYear | 2014 |
| Publisher | American Association of Physicists in Medicine |
| Publisher_xml | – name: American Association of Physicists in Medicine |
| References | Udupa, Odhner, Tong, Matsumoto, Ciesielski, Vaideeswaran, Ciesielski, Saboury, Zhao, Mohammadianrasanani, Torigian (c13) 2013; 8671 Sottier, Petit, Guiu, Hamza, Benhamiche, Hillon, Cercueil, Krausé, Guiu (c19) 2013; 94 Aziz, Brett, Jennifer, Diego, Catherine, Pablo, Scott (c6) 2013; 37 Machann, Thamer, Schnoedt, Haap, Haring, Claussen, Stumvoll, Fritsche, Schick (c20) 2005; 21 Udupa, Odhner, Falcao, Ciesielski, Miranda, Vaideeswaran, Mishra, Grevera, Saboury, Torigian (c21) 2011; 7964 Ludwig, Klausmann (c15) 2014; 00 Flegal, Carroll, Ogden, Johnson (c1) 2002; 288 Bandekar, Naghavi, Kakadiaris (c8) 2006; 1 Positano, Christiansen, Santarelli, Ringgaard, Landini, Gastaldelli (c9) 2009; 29 Joshi, Ouchun, Richard, Michael, Krishna (c2) 2013; 37 Zhou, Murillo, Peng (c10) 2011; 34 Engholm, Dubinskiy, Larsen, Hanson, Christoffersen (c11) 2006; 6144 Nyul, Udupa (c23) 1999; 42 Choudhary, Donnelly, Racadio, Strife (c3) 2007; 188 Arens, Sin, Nandalike, Rieder, Khan, Freeman, Wylie-Rosett, Lipton, Wootton, McDough, Shifteh (c4) 2011; 183 Vgontzas (c5) 2008; 114 Maislin, Ahmed, Gooneratne, Thorne-Fitzgerald, Kim, Teff, Arnardottir, Benediktsdottir, Einarsdottir, Juliusson, Pack, Gislason, Schwab (c14) 2012; 20 Irlbeck, Massaro, Bamberg, O’Donnel, Hoffmann (c17) 2010; 34 So, Matsuo, Sasai, Eto, Tsujimoto, Saotome, Tanaka (c16) 2012; 9 So, Sasai, Matsuo, Tsujimoto, Eto, Saotome, Tanaka (c18) 2012; 66 Udupa, Odhner, Matsumoto, Falcão, Miranda, Ciesielski, Grevera, Saboury, Torigian (c22) 2012; 8316 Onat, Avci, Barlan, Uyarel, Uzunlar, Sansoy (c7) 2004; 28 Grevera, Udupa, Odhner (c24) 2009; 7497 Tong, Udupa, Odhner, Sin, Arens (c12) 2013; 8672 2010; 34 2011; 7964 2013; 37 2004; 28 2007; 188 2013; 94 2012; 8316 2002; 288 2013; 8672 2013; 8671 2005; 21 1999; 42 2009; 7497 2011; 34 2008; 114 2006; 1 2011; 183 2006; 6144 2012; 66 2012; 20 2014; 00 2009; 29 2012; 9 23093345 - Eur J Clin Nutr. 2012 Dec;66(12):1351-5 22698384 - Nutr Metab (Lond). 2012 Jun 14;9:56 15778954 - J Magn Reson Imaging. 2005 Apr;21(4):455-62 23055365 - J Magn Reson Imaging. 2013 Mar;37(3):707-16 20065971 - Int J Obes (Lond). 2010 Apr;34(4):781-7 24449401 - J Magn Reson Imaging. 2014 Dec;40(6):1437-44 12365955 - JAMA. 2002 Oct 9;288(14):1723-7 20935105 - Am J Respir Crit Care Med. 2011 Mar 15;183(6):782-7 23725783 - Diagn Interv Imaging. 2013 Sep;94(9):879-84 21769972 - J Magn Reson Imaging. 2011 Oct;34(4):852-60 17377057 - AJR Am J Roentgenol. 2007 Apr;188(4):1118-30 15197408 - Int J Obes Relat Metab Disord. 2004 Aug;28(8):1018-25 18946782 - Arch Physiol Biochem. 2008 Oct;114(4):211-23 17946011 - Conf Proc IEEE Eng Med Biol Soc. 2006;1:932-5 22395811 - Obesity (Silver Spring). 2012 Oct;20(10):2124-32 19243051 - J Magn Reson Imaging. 2009 Mar;29(3):677-84 23011805 - J Magn Reson Imaging. 2013 Feb;37(2):423-30 10571928 - Magn Reson Med. 1999 Dec;42(6):1072-81 |
| References_xml | – volume: 34 start-page: 852 year: 2011 ident: c10 article-title: Novel segmentation method for abdominal fat quantification by MR publication-title: JMRI – volume: 28 start-page: 1018 year: 2004 ident: c7 article-title: Measures of abdominal obesity assessed for visceral adiposity and relation to coronary risk publication-title: Int. J. Obese Relat. Metabol. Disorder – volume: 00 start-page: 00 year: 2014 ident: c15 article-title: Whole-boy MRI-based fat quantification: A comparison to air displacement plethysmography publication-title: Journal of Magnetic Resource Imaging – volume: 37 start-page: 423 year: 2013 ident: c2 article-title: Automatic intra-subject registration-based segmentation of abdominal fat from water–fat MRI publication-title: JMRI – volume: 20 start-page: 2124 year: 2012 ident: c14 article-title: Single slice vs. volumetric MR assessment of visceral adipose tissue: Reliability and validity among the overweight and obese publication-title: Obesity – volume: 288 start-page: 1723 year: 2002 ident: c1 article-title: Prevalence and fends in obesity among US adults, 1999–2000 publication-title: JAMA – volume: 8672 start-page: 86721R1 year: 2013 ident: c12 article-title: Abdominal adiposity quantification at MRI via fuzzy model-based anatomy recognition publication-title: Proc. SPIE – volume: 9 start-page: 56 year: 2012 ident: c16 article-title: Best single-slice measurement site for estimating visceral adipose tissue volume after weight loss in obese, Japanese men publication-title: Nutr. Metabol. – volume: 37 start-page: 707 year: 2013 ident: c6 article-title: Adipose tissue MRI for quantitative measurement of central obesity publication-title: JMRI – volume: 8316 start-page: 831605 year: 2012 ident: c22 article-title: Automatic anatomy recognition via fuzzy object models publication-title: Proc. SPIE – volume: 188 start-page: 1118 year: 2007 ident: c3 article-title: Diseases associated with childhood obesity publication-title: AJR, Am. J. Roentgenol. – volume: 7964 start-page: 79640B year: 2011 ident: c21 article-title: Fuzzy object modeling publication-title: Proc. SPIE – volume: 34 start-page: 781 year: 2010 ident: c17 article-title: Association between single-slice measurements of visceral and abdominal subcutaneous adipose tissue with volumetric measurements: the Framingham heart study publication-title: Int. J. Obese – volume: 7497 start-page: 74971D1 year: 2009 ident: c24 article-title: CAVASS: A framework for medical imaging applications publication-title: Proc. SPIE – volume: 8671 start-page: 86712B year: 2013 ident: c13 article-title: Fuzzy model-based body-wide anatomy recognition in medical images publication-title: Proc. SPIE – volume: 29 start-page: 677 year: 2009 ident: c9 article-title: Accurate segmentation of subcutaneous and intermuscular adipose tissue from MR images of the thigh publication-title: J. Magn. Reson. Imaging – volume: 94 start-page: 879 year: 2013 ident: c19 article-title: Quantification of the visceral and subcutaneous fat by computed tomography: Interobserver correlation of a single slice technique publication-title: Diag. Interv. Imaging – volume: 21 start-page: 455 year: 2005 ident: c20 article-title: Standardized assessment of whole body adipose tissue topography by MRI publication-title: J. Magn. Reson. Imaging – volume: 1 start-page: 932 year: 2006 ident: c8 article-title: Automated pericardial fat quantification in CT data publication-title: Proc. IEEE Eng. Med. Biol. Soc. – volume: 183 start-page: 782 year: 2011 ident: c4 article-title: Upper airway structure and body fat composition in obese children with obstructive sleep apnea syndrome publication-title: Am. J. Respir. Crit. Care Med. – volume: 114 start-page: 211 year: 2008 ident: c5 article-title: Does obesity play a major role in the pathogenesis of sleep apnea and its associated manifestations via inflammation, visceral adiposity and insulin resistance? publication-title: Arch Physiol. Biochem. – volume: 66 start-page: 1351 year: 2012 ident: c18 article-title: Multiple-slice magnetic resonance imaging can detect visceral adipose tissue reduction more accurately than single-slice imaging publication-title: Eur. J. Clin. Nutr. – volume: 42 start-page: 1072 year: 1999 ident: c23 article-title: On standardizing the MR image intensity scale publication-title: Magn. Reson. Med. – volume: 6144 start-page: 1228 year: 2006 ident: c11 article-title: An adipose segmentation and quantification scheme for the abdominal region in minipigs publication-title: Proc. SPIE – volume: 00 start-page: 00 year: 2014 end-page: 00 article-title: Whole‐boy MRI‐based fat quantification: A comparison to air displacement plethysmography publication-title: Journal of Magnetic Resource Imaging – volume: 1 start-page: 932 year: 2006 end-page: 935 article-title: Automated pericardial fat quantification in CT data publication-title: Proc. IEEE Eng. Med. Biol. Soc. – volume: 188 start-page: 1118 year: 2007 end-page: 1130 article-title: Diseases associated with childhood obesity publication-title: AJR, Am. J. Roentgenol. – volume: 183 start-page: 782 year: 2011 end-page: 787 article-title: Upper airway structure and body fat composition in obese children with obstructive sleep apnea syndrome publication-title: Am. J. Respir. Crit. Care Med. – volume: 9 start-page: 56 year: 2012 end-page: 65 article-title: Best single‐slice measurement site for estimating visceral adipose tissue volume after weight loss in obese, Japanese men publication-title: Nutr. Metabol. – volume: 7497 start-page: 74971D1 year: 2009 end-page: 74971D14 article-title: CAVASS: A framework for medical imaging applications publication-title: Proc. SPIE – volume: 288 start-page: 1723 year: 2002 end-page: 1727 article-title: Prevalence and fends in obesity among US adults, 1999–2000 publication-title: JAMA – volume: 114 start-page: 211 year: 2008 end-page: 223 article-title: Does obesity play a major role in the pathogenesis of sleep apnea and its associated manifestations via inflammation, visceral adiposity and insulin resistance? publication-title: Arch Physiol. Biochem. – volume: 20 start-page: 2124 issue: 10 year: 2012 end-page: 2132 article-title: Single slice vs. volumetric MR assessment of visceral adipose tissue: Reliability and validity among the overweight and obese publication-title: Obesity – volume: 6144 start-page: 1228 year: 2006 end-page: 1238 article-title: An adipose segmentation and quantification scheme for the abdominal region in minipigs publication-title: Proc. SPIE – volume: 34 start-page: 781 year: 2010 end-page: 787 article-title: Association between single‐slice measurements of visceral and abdominal subcutaneous adipose tissue with volumetric measurements: the Framingham heart study publication-title: Int. J. Obese – volume: 37 start-page: 423 year: 2013 end-page: 430 article-title: Automatic intra‐subject registration‐based segmentation of abdominal fat from water–fat MRI publication-title: JMRI – volume: 37 start-page: 707 year: 2013 end-page: 716 article-title: Adipose tissue MRI for quantitative measurement of central obesity publication-title: JMRI – volume: 21 start-page: 455 issue: 4 year: 2005 end-page: 462 article-title: Standardized assessment of whole body adipose tissue topography by MRI publication-title: J. Magn. Reson. Imaging – volume: 42 start-page: 1072 year: 1999 end-page: 1081 article-title: On standardizing the MR image intensity scale publication-title: Magn. Reson. Med. – volume: 8672 start-page: 86721R1 year: 2013 end-page: 86721R7 article-title: Abdominal adiposity quantification at MRI via fuzzy model‐based anatomy recognition publication-title: Proc. SPIE – volume: 28 start-page: 1018 year: 2004 end-page: 1025 article-title: Measures of abdominal obesity assessed for visceral adiposity and relation to coronary risk publication-title: Int. J. Obese Relat. Metabol. Disorder – volume: 8316 start-page: 831605 year: 2012 article-title: Automatic anatomy recognition via fuzzy object models publication-title: Proc. SPIE – volume: 7964 start-page: 79640B year: 2011 article-title: Fuzzy object modeling publication-title: Proc. SPIE – volume: 34 start-page: 852 year: 2011 end-page: 960 article-title: Novel segmentation method for abdominal fat quantification by MR publication-title: JMRI – volume: 29 start-page: 677 issue: 3 year: 2009 end-page: 684 article-title: Accurate segmentation of subcutaneous and intermuscular adipose tissue from MR images of the thigh publication-title: J. Magn. Reson. Imaging – volume: 94 start-page: 879 year: 2013 end-page: 884 article-title: Quantification of the visceral and subcutaneous fat by computed tomography: Interobserver correlation of a single slice technique publication-title: Diag. Interv. Imaging – volume: 66 start-page: 1351 year: 2012 end-page: 1355 article-title: Multiple‐slice magnetic resonance imaging can detect visceral adipose tissue reduction more accurately than single‐slice imaging publication-title: Eur. J. Clin. Nutr. – volume: 8671 start-page: 86712B year: 2013 article-title: Fuzzy model‐based body‐wide anatomy recognition in medical images publication-title: Proc. SPIE – reference: 21769972 - J Magn Reson Imaging. 2011 Oct;34(4):852-60 – reference: 15778954 - J Magn Reson Imaging. 2005 Apr;21(4):455-62 – reference: 17377057 - AJR Am J Roentgenol. 2007 Apr;188(4):1118-30 – reference: 24449401 - J Magn Reson Imaging. 2014 Dec;40(6):1437-44 – reference: 20065971 - Int J Obes (Lond). 2010 Apr;34(4):781-7 – reference: 23725783 - Diagn Interv Imaging. 2013 Sep;94(9):879-84 – reference: 23011805 - J Magn Reson Imaging. 2013 Feb;37(2):423-30 – reference: 20935105 - Am J Respir Crit Care Med. 2011 Mar 15;183(6):782-7 – reference: 15197408 - Int J Obes Relat Metab Disord. 2004 Aug;28(8):1018-25 – reference: 12365955 - JAMA. 2002 Oct 9;288(14):1723-7 – reference: 22395811 - Obesity (Silver Spring). 2012 Oct;20(10):2124-32 – reference: 19243051 - J Magn Reson Imaging. 2009 Mar;29(3):677-84 – reference: 17946011 - Conf Proc IEEE Eng Med Biol Soc. 2006;1:932-5 – reference: 18946782 - Arch Physiol Biochem. 2008 Oct;114(4):211-23 – reference: 22698384 - Nutr Metab (Lond). 2012 Jun 14;9:56 – reference: 23055365 - J Magn Reson Imaging. 2013 Mar;37(3):707-16 – reference: 23093345 - Eur J Clin Nutr. 2012 Dec;66(12):1351-5 – reference: 10571928 - Magn Reson Med. 1999 Dec;42(6):1072-81 |
| SSID | ssj0006350 |
| Score | 2.349649 |
| Snippet | Purpose:
The quantification of body fat plays an important role in the study of numerous diseases. It is common current practice to use the fat area at a... The quantification of body fat plays an important role in the study of numerous diseases. It is common current practice to use the fat area at a single... Purpose: The quantification of body fat plays an important role in the study of numerous diseases. It is common current practice to use the fat area at a... |
| SourceID | pubmedcentral osti proquest pubmed wiley scitation |
| SourceType | Open Access Repository Aggregation Database Index Database Publisher Enrichment Source |
| StartPage | 063501 |
| SubjectTerms | 60 APPLIED LIFE SCIENCES ABDOMEN Abdominal Fat - diagnostic imaging ADIPOSE TISSUE Anatomy area measurement Biological material, e.g. blood, urine; Haemocytometers biological tissues Body Fat Distribution - methods Calibration Cluster analysis Computed tomography Computerised tomographs computerised tomography COMPUTERIZED TOMOGRAPHY diseases Diseases and conditions fat quantification Humans Image Interpretation, Computer-Assisted - methods IMAGE PROCESSING Interpolation Intra-Abdominal Fat - diagnostic imaging landmarks Linear Models Lumbar Vertebrae Male Measuring length, thickness or similar linear dimensions; Measuring angles; Measuring areas; Measuring irregularities of surfaces or contours Measuring volume, volume flow, mass flow, or liquid level; Metering by volume Medical image segmentation Medical magnetic resonance imaging Middle Aged Nonlinear Dynamics obesity OPTIMIZATION Radiography, Abdominal - methods RADIOLOGY AND NUCLEAR MEDICINE Retrospective Studies Single‐slice Spatial dimensions (e.g., position, lengths, volume, angles, and displacements) Subcutaneous Fat - diagnostic imaging Thoracic Vertebrae Tissue Measurements Tomography, X-Ray Computed - methods volume measurement |
| Title | Optimization of abdominal fat quantification on CT imaging through use of standardized anatomic space: A novel approach |
| URI | http://dx.doi.org/10.1118/1.4876275 https://onlinelibrary.wiley.com/doi/abs/10.1118%2F1.4876275 https://www.ncbi.nlm.nih.gov/pubmed/24877839 https://www.proquest.com/docview/1531956307 https://www.osti.gov/biblio/22412507 https://pubmed.ncbi.nlm.nih.gov/PMC4032419 |
| Volume | 41 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bb9MwFLbKJi4vCMatMJARiJcqJU6cuOGt6kATUJhEK42nyE4crYgmVdtsYr-PH8bxJW4qOmkgtVFlH1uqzxefi885Ruh1FLKcJjLwsiguPNCIuZcMeOGFWUDynICEy1SC8_hLfDylH0-j007ndytqqV6Lfna5M6_kf7gKbcBXlSX7D5x1k0ID_Ab-whM4DM9r8fgrvO9zm0ipD_RFXplLugqu8yVNJJDtL3ujSW82N9cSNffz1MaX33gUZpdS1W4FS1zFzMNuk9nc9bI6lz9dBfK2Stsc9RgfiXbiqsRqbq78cH6GiY39_V6LRlpC6zSvFzZa9xdf8nnvU38zQN3ZZfyzR0t50Rv22y4KQjehVK2sANiuWojTEX7Gd7Na68jfcTuWwO7WCVWnP-bUW-q2gLLQo4GftHdwUzrLIjU-AX6QlkB34m6HtFAZEKRPlUhg0UYkNmEAjii6kkyrAuMT1XED7QdgrMBuuz88Gn_-5jQCUOpMKpT9P7bCFcz81s0KKkEFm_ouQ-fveN3boB6ZSI1tm0orRZN76K61ZvDQQPM-6sjyAN1q1vgA3TSLv3qALtpYxVWBHVYxYBVvYxXDZzTBFqvYYhUDVtXINlZxg1WssfoOD7FGKm6Q-hBNP7yfjI49e-mH9yNS5VPjTAwK5heguBZCCE6KUHD4-iKRbDDIAxkRzkkYcyYpi_2C0TgQzJdcySuRhI_QXlmV8gnCgBUaAEkOM1EaxmDq5HFOCItFHnDJuuhQLXmqFlNmZ5mKLMvWqVJqwTCA7pcNK1LYc9VBGi9lVa9SogSXKqwHNI8Na9KFKQ6TBsBPBlZHF7EtpjkCVc99u6ecnem67tQH64bAyFeOvW6UsdUHKUktXnZSnVfLDUW6yIsueqPhcfU8qcHu0-sSPkN3Nq_4IdpbL2v5HPTytXhhYf8HjMPj6w |
| linkProvider | EBSCOhost |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Optimization+of+abdominal+fat+quantification+on+CT+imaging+through+use+of+standardized+anatomic+space%3A+A+novel+approach&rft.jtitle=Medical+physics+%28Lancaster%29&rft.au=Tong%2C+Yubing&rft.au=Udupa%2C+Jayaram+K.&rft.au=Torigian%2C+Drew+A.&rft.date=2014-06-01&rft.pub=American+Association+of+Physicists+in+Medicine&rft.issn=0094-2405&rft.eissn=2473-4209&rft.volume=41&rft.issue=6Part1&rft.epage=n%2Fa&rft_id=info:doi/10.1118%2F1.4876275&rft.externalDBID=10.1118%252F1.4876275&rft.externalDocID=MP6275 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0094-2405&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0094-2405&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0094-2405&client=summon |