Dose Reduction in Molecular Breast Imaging With a New Image-Processing Algorithm
The purpose of this study was to determine whether application of a proprietary image-processing algorithm would allow a reduction in the necessary administered activity for molecular breast imaging (MBI) examinations. Images from standard-dose MBI examinations (300 MBq Tc-sestamibi) of 50 subjects...
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Published in | American journal of roentgenology (1976) Vol. 214; no. 1; pp. 185 - 193 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
01.01.2020
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ISSN | 0361-803X 1546-3141 1546-3141 |
DOI | 10.2214/AJR.19.21582 |
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Abstract | The purpose of this study was to determine whether application of a proprietary image-processing algorithm would allow a reduction in the necessary administered activity for molecular breast imaging (MBI) examinations.
Images from standard-dose MBI examinations (300 MBq
Tc-sestamibi) of 50 subjects were analyzed. The images were acquired in dynamic mode and showed at least one breast lesion. Half-dose MBI examinations were simulated by summing one-half of the dynamic frames and were processed with the algorithm under study in both a default and a preferred filter mode. Two breast radiologists independently completed a set of two-alternative forced-choice tasks to compare lesion conspicuity on standard-dose images, half-dose images, and the algorithm-processed half-dose images in both modes.
Relative to the standard-dose images, the half-dose images were preferred in 4, the default-filtered half-dose images in 50, and preferred-filtered half-dose images in 76 of 100 readings. Compared with standard-dose images, in terms of lesion conspicuity, the half-dose images were rated better in 2, equivalent in 6, and poorer in 92 of 100 readings. The default-filtered half-dose images were rated better, equivalent, or poorer in 13, 73, and 14 of 100 readings. The preferred-filtered half-dose images were rated as better, equivalent, or poorer in 55, 34, and 11 of 100 readings.
Compared with that on standard-dose images, lesion conspicuity on images obtained with the algorithm and acquired at one-half the standard dose was equivalent or better without compromise of image quality. The algorithm can also be used to decrease imaging time with a resulting increase in patient comfort and throughput. |
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AbstractList | OBJECTIVE. The purpose of this study was to determine whether application of a proprietary image-processing algorithm would allow a reduction in the necessary administered activity for molecular breast imaging (MBI) examinations. MATERIALS AND METHODS. Images from standard-dose MBI examinations (300 MBq 99mTc-sestamibi) of 50 subjects were analyzed. The images were acquired in dynamic mode and showed at least one breast lesion. Half-dose MBI examinations were simulated by summing one-half of the dynamic frames and were processed with the algorithm under study in both a default and a preferred filter mode. Two breast radiologists independently completed a set of two-alternative forced-choice tasks to compare lesion conspicuity on standard-dose images, half-dose images, and the algorithm-processed half-dose images in both modes. RESULTS. Relative to the standard-dose images, the half-dose images were preferred in 4, the default-filtered half-dose images in 50, and preferred-filtered half-dose images in 76 of 100 readings. Compared with standard-dose images, in terms of lesion conspicuity, the half-dose images were rated better in 2, equivalent in 6, and poorer in 92 of 100 readings. The default-filtered half-dose images were rated better, equivalent, or poorer in 13, 73, and 14 of 100 readings. The preferred-filtered half-dose images were rated as better, equivalent, or poorer in 55, 34, and 11 of 100 readings. CONCLUSION. Compared with that on standard-dose images, lesion conspicuity on images obtained with the algorithm and acquired at one-half the standard dose was equivalent or better without compromise of image quality. The algorithm can also be used to decrease imaging time with a resulting increase in patient comfort and throughput.OBJECTIVE. The purpose of this study was to determine whether application of a proprietary image-processing algorithm would allow a reduction in the necessary administered activity for molecular breast imaging (MBI) examinations. MATERIALS AND METHODS. Images from standard-dose MBI examinations (300 MBq 99mTc-sestamibi) of 50 subjects were analyzed. The images were acquired in dynamic mode and showed at least one breast lesion. Half-dose MBI examinations were simulated by summing one-half of the dynamic frames and were processed with the algorithm under study in both a default and a preferred filter mode. Two breast radiologists independently completed a set of two-alternative forced-choice tasks to compare lesion conspicuity on standard-dose images, half-dose images, and the algorithm-processed half-dose images in both modes. RESULTS. Relative to the standard-dose images, the half-dose images were preferred in 4, the default-filtered half-dose images in 50, and preferred-filtered half-dose images in 76 of 100 readings. Compared with standard-dose images, in terms of lesion conspicuity, the half-dose images were rated better in 2, equivalent in 6, and poorer in 92 of 100 readings. The default-filtered half-dose images were rated better, equivalent, or poorer in 13, 73, and 14 of 100 readings. The preferred-filtered half-dose images were rated as better, equivalent, or poorer in 55, 34, and 11 of 100 readings. CONCLUSION. Compared with that on standard-dose images, lesion conspicuity on images obtained with the algorithm and acquired at one-half the standard dose was equivalent or better without compromise of image quality. The algorithm can also be used to decrease imaging time with a resulting increase in patient comfort and throughput. The purpose of this study was to determine whether application of a proprietary image-processing algorithm would allow a reduction in the necessary administered activity for molecular breast imaging (MBI) examinations. Images from standard-dose MBI examinations (300 MBq Tc-sestamibi) of 50 subjects were analyzed. The images were acquired in dynamic mode and showed at least one breast lesion. Half-dose MBI examinations were simulated by summing one-half of the dynamic frames and were processed with the algorithm under study in both a default and a preferred filter mode. Two breast radiologists independently completed a set of two-alternative forced-choice tasks to compare lesion conspicuity on standard-dose images, half-dose images, and the algorithm-processed half-dose images in both modes. Relative to the standard-dose images, the half-dose images were preferred in 4, the default-filtered half-dose images in 50, and preferred-filtered half-dose images in 76 of 100 readings. Compared with standard-dose images, in terms of lesion conspicuity, the half-dose images were rated better in 2, equivalent in 6, and poorer in 92 of 100 readings. The default-filtered half-dose images were rated better, equivalent, or poorer in 13, 73, and 14 of 100 readings. The preferred-filtered half-dose images were rated as better, equivalent, or poorer in 55, 34, and 11 of 100 readings. Compared with that on standard-dose images, lesion conspicuity on images obtained with the algorithm and acquired at one-half the standard dose was equivalent or better without compromise of image quality. The algorithm can also be used to decrease imaging time with a resulting increase in patient comfort and throughput. |
Author | Conners, Amy L. Rhodes, Deborah J. Borges, Lucas Johnson, Matthew P. O'Connor, Michael K. Tao, Ashley T. Hunt, Katie N. Manduca, Armando Lake, David Carter, Rickey E. Hruska, Carrie B. Swanson, Tiffinee N. Tran, Thuy D. Maidment, Andrew D. A. |
Author_xml | – sequence: 1 givenname: Ashley T. surname: Tao fullname: Tao, Ashley T. organization: Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905., Present address: Gundersen Health System, La Crosse, WI – sequence: 2 givenname: Carrie B. surname: Hruska fullname: Hruska, Carrie B. organization: Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905 – sequence: 3 givenname: Amy L. surname: Conners fullname: Conners, Amy L. organization: Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905 – sequence: 4 givenname: Katie N. surname: Hunt fullname: Hunt, Katie N. organization: Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905 – sequence: 5 givenname: Tiffinee N. surname: Swanson fullname: Swanson, Tiffinee N. organization: Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905 – sequence: 6 givenname: Thuy D. surname: Tran fullname: Tran, Thuy D. organization: Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905 – sequence: 7 givenname: Armando surname: Manduca fullname: Manduca, Armando organization: Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN – sequence: 8 givenname: Lucas surname: Borges fullname: Borges, Lucas organization: Department of Electrical and Computer Engineering, University São Paulo, São Paulo, Brazil – sequence: 9 givenname: Andrew D. A. surname: Maidment fullname: Maidment, Andrew D. A. organization: Department of Radiology, University of Pennsylvania, Philadelphia, PA – sequence: 10 givenname: David surname: Lake fullname: Lake, David organization: Center for Advanced Imaging Research, Mayo Clinic, Rochester, MN – sequence: 11 givenname: Matthew P. surname: Johnson fullname: Johnson, Matthew P. organization: Department of Health Sciences Research, Mayo Clinic, Rochester, MN – sequence: 12 givenname: Rickey E. surname: Carter fullname: Carter, Rickey E. organization: Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL – sequence: 13 givenname: Deborah J. surname: Rhodes fullname: Rhodes, Deborah J. organization: Department of Medicine, Mayo Clinic, Rochester, MN – sequence: 14 givenname: Michael K. surname: O'Connor fullname: O'Connor, Michael K. organization: Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905 |
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SubjectTerms | Aged Algorithms Breast Diseases - diagnostic imaging Breast Neoplasms - diagnostic imaging Female Humans Image Processing, Computer-Assisted Middle Aged Molecular Imaging - methods Radiation Dosage Radionuclide Imaging |
Title | Dose Reduction in Molecular Breast Imaging With a New Image-Processing Algorithm |
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