Registration of Color and OCT Fundus Images Using Low-dimensional Step Pattern Analysis
Existing feature descriptor-based methods on retinal image registration are mainly based on scale-invariant feature transform (SIFT) or partial intensity invariant feature descriptor (PIIFD). While these descriptors are many times being exploited, they have not been applied to color fundus and optic...
Saved in:
Published in | Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 pp. 214 - 221 |
---|---|
Main Authors | , , , , , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
|
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Existing feature descriptor-based methods on retinal image registration are mainly based on scale-invariant feature transform (SIFT) or partial intensity invariant feature descriptor (PIIFD). While these descriptors are many times being exploited, they have not been applied to color fundus and optical coherence tomography (OCT) fundus image pairs. OCT fundus images are challenging to register as they are often degraded by speckle noise. The descriptors also demand high dimensionality to adequately represent the features of interest. To this end, this paper presents a registration algorithm coined low-dimensional step pattern analysis (LoSPA), tailored to achieve low dimensionality while providing sufficient distinctiveness to effectively register OCT fundus images with color fundus photographs. The algorithm locates hypotheses of robust corner features based on connecting edges from the edge maps, mainly formed by vascular junctions. It continues with describing the corner features in a rotation invariant manner using step patterns. These customized step patterns are insensitive to intensity changes. We conduct comparative evaluation and LoSPA achieves a higher success rate in registration when compared to the state-of-the-art algorithms. |
---|---|
AbstractList | Existing feature descriptor-based methods on retinal image registration are mainly based on scale-invariant feature transform (SIFT) or partial intensity invariant feature descriptor (PIIFD). While these descriptors are many times being exploited, they have not been applied to color fundus and optical coherence tomography (OCT) fundus image pairs. OCT fundus images are challenging to register as they are often degraded by speckle noise. The descriptors also demand high dimensionality to adequately represent the features of interest. To this end, this paper presents a registration algorithm coined low-dimensional step pattern analysis (LoSPA), tailored to achieve low dimensionality while providing sufficient distinctiveness to effectively register OCT fundus images with color fundus photographs. The algorithm locates hypotheses of robust corner features based on connecting edges from the edge maps, mainly formed by vascular junctions. It continues with describing the corner features in a rotation invariant manner using step patterns. These customized step patterns are insensitive to intensity changes. We conduct comparative evaluation and LoSPA achieves a higher success rate in registration when compared to the state-of-the-art algorithms. |
Author | Liu, Jiang Lee, Jimmy Addison Wong, Damon Wing Kee Xu, Guozhen Ong, Ee Ping Lee, Beng Hai Cheng, Jun |
Author_xml | – sequence: 1 givenname: Jimmy Addison surname: Lee fullname: Lee, Jimmy Addison email: jalee@i2r.a-star.edu.sg – sequence: 2 givenname: Jun surname: Cheng fullname: Cheng, Jun – sequence: 3 givenname: Guozhen surname: Xu fullname: Xu, Guozhen – sequence: 4 givenname: Ee Ping surname: Ong fullname: Ong, Ee Ping – sequence: 5 givenname: Beng Hai surname: Lee fullname: Lee, Beng Hai – sequence: 6 givenname: Damon Wing Kee surname: Wong fullname: Wong, Damon Wing Kee – sequence: 7 givenname: Jiang surname: Liu fullname: Liu, Jiang |
BookMark | eNpFkM1KAzEUhaNWsK2-gYu8QPTmp5NkWQZbCwMVbXEZMk2mjLZJmUwR3960Cq4ufIdzOXwjNAgxeITuKTxQAPmopSKccKoJExNJCTesuEAjnskZFJdoSAuaAy701X8AaoCGwIERLQW_QaOUPgCASc2G6P3Vb9vUd7ZvY8CxwWXcxQ7b4PCyXOHZMbhjwou93fqE16kNW1zFL-LavQ8pV-wOv_X-gF9s3_su4Gkm36lNt-i6sbvk7_7uGK1nT6vymVTL-aKcViQxIXpCm410EycKX1vKhQUrZB4GCqyunVC1chOx2UDjpQTtnVeUa2tpAzVTuqj5GLHfv-nQ5XG-M3WMn8lQMCdpJksz3GQT5uzInKTxH4bKXY8 |
ContentType | Book Chapter |
Copyright | Springer International Publishing Switzerland 2015 |
Copyright_xml | – notice: Springer International Publishing Switzerland 2015 |
DOI | 10.1007/978-3-319-24571-3_26 |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Applied Sciences Computer Science |
EISBN | 3319245716 9783319245713 |
EISSN | 1611-3349 |
Editor | Navab, Nassir Hornegger, Joachim Frangi, Alejandro Wells, William M. |
Editor_xml | – sequence: 1 givenname: Nassir surname: Navab fullname: Navab, Nassir email: nassir.navab@tum.edu – sequence: 2 givenname: Joachim surname: Hornegger fullname: Hornegger, Joachim email: joachim.hornegger@fau.de – sequence: 3 givenname: William M. surname: Wells fullname: Wells, William M. email: sw@bwh.harvard.edu – sequence: 4 givenname: Alejandro surname: Frangi fullname: Frangi, Alejandro email: a.frangi@sheffield.ac.uk |
EndPage | 221 |
GroupedDBID | -DT -GH -~X 1SB 29L 2HA 2HV 5QI 875 AASHB ABMNI ACGFS ADCXD AEFIE ALMA_UNASSIGNED_HOLDINGS EJD F5P FEDTE HVGLF LAS LDH P2P RIG RNI RSU SVGTG VI1 ~02 |
ID | FETCH-LOGICAL-s244t-1fc7d5d46eba134a0a47279080a9bd48b8d54cc0fe7709ede8139aa1f0b2896b3 |
ISBN | 3319245708 9783319245706 |
ISSN | 0302-9743 |
IngestDate | Tue Oct 01 21:13:08 EDT 2024 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-s244t-1fc7d5d46eba134a0a47279080a9bd48b8d54cc0fe7709ede8139aa1f0b2896b3 |
OpenAccessLink | https://link.springer.com/content/pdf/10.1007/978-3-319-24571-3_26.pdf |
PageCount | 8 |
ParticipantIDs | springer_books_10_1007_978_3_319_24571_3_26 |
PublicationPlace | Cham |
PublicationPlace_xml | – name: Cham |
PublicationSeriesSubtitle | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
PublicationSeriesTitle | Lecture Notes in Computer Science |
PublicationSeriesTitleAlternate | Lect.Notes Computer |
PublicationSubtitle | 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II |
PublicationTitle | Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 |
Publisher | Springer International Publishing |
Publisher_xml | – name: Springer International Publishing |
RelatedPersons | Kleinberg, Jon M. Mattern, Friedemann Naor, Moni Mitchell, John C. Terzopoulos, Demetri Steffen, Bernhard Pandu Rangan, C. Kanade, Takeo Kittler, Josef Weikum, Gerhard Hutchison, David Tygar, Doug |
RelatedPersons_xml | – sequence: 1 givenname: David surname: Hutchison fullname: Hutchison, David – sequence: 2 givenname: Takeo surname: Kanade fullname: Kanade, Takeo – sequence: 3 givenname: Josef surname: Kittler fullname: Kittler, Josef – sequence: 4 givenname: Jon M. surname: Kleinberg fullname: Kleinberg, Jon M. – sequence: 5 givenname: Friedemann surname: Mattern fullname: Mattern, Friedemann – sequence: 6 givenname: John C. surname: Mitchell fullname: Mitchell, John C. – sequence: 7 givenname: Moni surname: Naor fullname: Naor, Moni – sequence: 8 givenname: C. surname: Pandu Rangan fullname: Pandu Rangan, C. – sequence: 9 givenname: Bernhard surname: Steffen fullname: Steffen, Bernhard – sequence: 10 givenname: Demetri surname: Terzopoulos fullname: Terzopoulos, Demetri – sequence: 11 givenname: Doug surname: Tygar fullname: Tygar, Doug – sequence: 12 givenname: Gerhard surname: Weikum fullname: Weikum, Gerhard |
SSID | ssj0002792 ssj0001585306 |
Score | 1.8529176 |
Snippet | Existing feature descriptor-based methods on retinal image registration are mainly based on scale-invariant feature transform (SIFT) or partial intensity... |
SourceID | springer |
SourceType | Publisher |
StartPage | 214 |
SubjectTerms | feature descriptor LoSPA optical coherence tomography Registration |
Title | Registration of Color and OCT Fundus Images Using Low-dimensional Step Pattern Analysis |
URI | http://link.springer.com/10.1007/978-3-319-24571-3_26 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3fb5swELbS7m0P-61t2iY_7A15IrGx4TGKUrVV105TuuUNGWy2SkuQCmhq_63-g7vDGGjSl-4FRQYBvo-c787f3RHyOQ9lbGOTMKu4YELqhMX5lLNcZHqmIzirMMH567k8vhSn62g9mdyNWEtNnX3Jbx_MK_kfVGEMcMUs2Ucg298UBuA34AtHQBiOO8bv_TDrlS9TiwI-2SDtxnVn8BmHvlcDA-kjjsZF_jy3kbEApL-YnwSwMEe7nJyrzeYmmDue0bD7bzvqbtOPrZs2qN6Ut7-HfLILd9nSBt_8oth9kN_tr75Ib0sCKf90BM6LxSo4arCHiJtMFTgiw1n5lxnsPuAqh7SMNOwpgDHMvpqKU4tYrrmCGbgNkfOybnlmvRy8CtuLZ-5ERIeg3D0HmHN0ICMVypHe5KDkwU1yetM6vS6xWiN31VF7XS1Gy_7MJWrvrShjEgkmfOHT4FbpTB6QA5WAIn0yX56e_RgCe-CAcdy67swBrNDotrLcW2GCkX_r2JWAGmYxSu586JF72_WtFbR6Tp5iZgzFlBUQ2gsysduX5Fnnx9BOxBUMebH7sVfk5xh9Wha0RZ8C-hTQpw596tCnLfp0B32K6NMOferRf00uj5arxTHrenqwCgzJmk2LXJnICGkzPeVCh1qABZ2A36KTzIg4i00k8jwsrFJhYo2NwUXRelqE2SxOZMbfkMNtubVvCTWFkQlcHBsAVqkCfHMsUKiVVJnmdvqOBF5YKf5Lq9SX6AbRpjwF0aataFMU7ftHXf2BHNbXjf0IBmmdfeo-gX_HPoWG |
link.rule.ids | 785,786,790,799,27956 |
linkProvider | Library Specific Holdings |
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%3Abook&rft.genre=bookitem&rft.title=Medical+Image+Computing+and+Computer-Assisted+Intervention+--+MICCAI+2015&rft.au=Lee%2C+Jimmy+Addison&rft.au=Cheng%2C+Jun&rft.au=Xu%2C+Guozhen&rft.au=Ong%2C+Ee+Ping&rft.atitle=Registration+of+Color+and+OCT+Fundus+Images+Using+Low-dimensional+Step+Pattern+Analysis&rft.series=Lecture+Notes+in+Computer+Science&rft.pub=Springer+International+Publishing&rft.isbn=9783319245706&rft.issn=0302-9743&rft.eissn=1611-3349&rft.spage=214&rft.epage=221&rft_id=info:doi/10.1007%2F978-3-319-24571-3_26 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0302-9743&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0302-9743&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0302-9743&client=summon |