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Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection

BACKGROUND: Intraplaque hemorrhage (IPH) is associated with atherosclerosis progression and subsequent cardiovascular events. We sought to develop a semi-automatic method with an optimized threshold for carotid IPH detection and quantification on MP-RAGE images using matched histology as the gold st...

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Autores principales: Liu, Jin, Balu, Niranjan, Hippe, Daniel S., Ferguson, Marina S., Martinez-Malo, Vanesa, DeMarco, J. Kevin, Zhu, David C., Ota, Hideki, Sun, Jie, Xu, Dongxiang, Kerwin, William S., Hatsukami, Thomas S., Yuan, Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4950626/
https://www.ncbi.nlm.nih.gov/pubmed/27430263
http://dx.doi.org/10.1186/s12968-016-0260-3
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author Liu, Jin
Balu, Niranjan
Hippe, Daniel S.
Ferguson, Marina S.
Martinez-Malo, Vanesa
DeMarco, J. Kevin
Zhu, David C.
Ota, Hideki
Sun, Jie
Xu, Dongxiang
Kerwin, William S.
Hatsukami, Thomas S.
Yuan, Chun
author_facet Liu, Jin
Balu, Niranjan
Hippe, Daniel S.
Ferguson, Marina S.
Martinez-Malo, Vanesa
DeMarco, J. Kevin
Zhu, David C.
Ota, Hideki
Sun, Jie
Xu, Dongxiang
Kerwin, William S.
Hatsukami, Thomas S.
Yuan, Chun
author_sort Liu, Jin
collection PubMed
description BACKGROUND: Intraplaque hemorrhage (IPH) is associated with atherosclerosis progression and subsequent cardiovascular events. We sought to develop a semi-automatic method with an optimized threshold for carotid IPH detection and quantification on MP-RAGE images using matched histology as the gold standard. METHODS: Fourteen patients scheduled for carotid endarterectomy underwent 3D MP-RAGE cardiovascular magnetic resonance (CMR) preoperatively. Presence and area of IPH were recorded using histology. Presence and area of IPH were also recorded on CMR based on intensity thresholding using three references for intensity normalization: the sternocleidomastoid muscle (SCM), the adjacent muscle and the automatically generated local median value. The optimized intensity thresholds were obtained by maximizing the Youden’s index for IPH detection. Using leave-one-out cross validation, the sensitivity and specificity for IPH detection based on our proposed semi-automatic method and the agreement with histology on IPH area quantification were evaluated. RESULTS: The optimized intensity thresholds for IPH detection were 1.0 times the SCM intensity, 1.6 times the adjacent muscle intensity and 2.2 times the median intensity. Using the semi-automatic method with the optimized intensity threshold, the following IPH detection and quantification performance was obtained: sensitivities up to 59, 68 and 80 %; specificities up to 85, 74 and 79 %; Pearson’s correlation coefficients (IPH area measurement) up to 0.76, 0.93 and 0.90, respectively, using SCM, the adjacent muscle and the local median value for intensity normalization, after heavily calcified and small IPH were excluded. CONCLUSIONS: A semi-automatic method with good performance on IPH detection and quantification can be obtained in MP-RAGE CMR, using an optimized intensity threshold comparing to the adjacent muscle. The automatically generated reference of local median value provides comparable performance and may be particularly useful for developing automatic classifiers. Use of the SCM intensity as reference is not recommended without coil sensitivity correction when surface coils are used.
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spelling pubmed-49506262016-07-20 Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection Liu, Jin Balu, Niranjan Hippe, Daniel S. Ferguson, Marina S. Martinez-Malo, Vanesa DeMarco, J. Kevin Zhu, David C. Ota, Hideki Sun, Jie Xu, Dongxiang Kerwin, William S. Hatsukami, Thomas S. Yuan, Chun J Cardiovasc Magn Reson Research BACKGROUND: Intraplaque hemorrhage (IPH) is associated with atherosclerosis progression and subsequent cardiovascular events. We sought to develop a semi-automatic method with an optimized threshold for carotid IPH detection and quantification on MP-RAGE images using matched histology as the gold standard. METHODS: Fourteen patients scheduled for carotid endarterectomy underwent 3D MP-RAGE cardiovascular magnetic resonance (CMR) preoperatively. Presence and area of IPH were recorded using histology. Presence and area of IPH were also recorded on CMR based on intensity thresholding using three references for intensity normalization: the sternocleidomastoid muscle (SCM), the adjacent muscle and the automatically generated local median value. The optimized intensity thresholds were obtained by maximizing the Youden’s index for IPH detection. Using leave-one-out cross validation, the sensitivity and specificity for IPH detection based on our proposed semi-automatic method and the agreement with histology on IPH area quantification were evaluated. RESULTS: The optimized intensity thresholds for IPH detection were 1.0 times the SCM intensity, 1.6 times the adjacent muscle intensity and 2.2 times the median intensity. Using the semi-automatic method with the optimized intensity threshold, the following IPH detection and quantification performance was obtained: sensitivities up to 59, 68 and 80 %; specificities up to 85, 74 and 79 %; Pearson’s correlation coefficients (IPH area measurement) up to 0.76, 0.93 and 0.90, respectively, using SCM, the adjacent muscle and the local median value for intensity normalization, after heavily calcified and small IPH were excluded. CONCLUSIONS: A semi-automatic method with good performance on IPH detection and quantification can be obtained in MP-RAGE CMR, using an optimized intensity threshold comparing to the adjacent muscle. The automatically generated reference of local median value provides comparable performance and may be particularly useful for developing automatic classifiers. Use of the SCM intensity as reference is not recommended without coil sensitivity correction when surface coils are used. BioMed Central 2016-07-16 /pmc/articles/PMC4950626/ /pubmed/27430263 http://dx.doi.org/10.1186/s12968-016-0260-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Liu, Jin
Balu, Niranjan
Hippe, Daniel S.
Ferguson, Marina S.
Martinez-Malo, Vanesa
DeMarco, J. Kevin
Zhu, David C.
Ota, Hideki
Sun, Jie
Xu, Dongxiang
Kerwin, William S.
Hatsukami, Thomas S.
Yuan, Chun
Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection
title Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection
title_full Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection
title_fullStr Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection
title_full_unstemmed Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection
title_short Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection
title_sort semi-automatic carotid intraplaque hemorrhage detection and quantification on magnetization-prepared rapid acquisition gradient-echo (mp-rage) with optimized threshold selection
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4950626/
https://www.ncbi.nlm.nih.gov/pubmed/27430263
http://dx.doi.org/10.1186/s12968-016-0260-3
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