دورية أكاديمية
Fully Automated 3D Segmentation and Diffeomorphic Medial Modeling of the Left Ventricle Mitral Valve Complex in Ischemic Mitral Regurgitation.
| العنوان: | Fully Automated 3D Segmentation and Diffeomorphic Medial Modeling of the Left Ventricle Mitral Valve Complex in Ischemic Mitral Regurgitation. |
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| المؤلفون: | Aly AH; Division of Cardiothoracic Surgery, The Ohio State University, Columbus, OH, USA; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA; Gorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: ahmedaly.cts@gmail.com., Khandelwal P; Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA., Aly AH; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; The Ohio State College of Medicine, Columbus, OH, USA., Kawashima T; Gorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA, USA., Mori K; Gorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA, USA., Saito Y; Gorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA, USA., Hung J; Department of Cardiology at Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA., Gorman JH 3rd; Gorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA, USA; Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA., Pouch AM; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Gorman RC; Gorman Cardiovascular Research Group, University of Pennsylvania, Philadelphia, PA, USA; Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA., Yushkevich PA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: pyushkevich@gmail.com. |
| المصدر: | Medical image analysis [Med Image Anal] 2022 Aug; Vol. 80, pp. 102513. Date of Electronic Publication: 2022 Jun 12. |
| نوع المنشور: | Journal Article; Research Support, N.I.H., Extramural |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Amsterdam : Elsevier Original Publication: London : Oxford University Press, [1996- |
| مواضيع طبية MeSH: | Echocardiography, Three-Dimensional*/methods , Mitral Valve Insufficiency*/diagnostic imaging , Mitral Valve Insufficiency*/surgery, Echocardiography, Transesophageal/methods ; Heart Ventricles/diagnostic imaging ; Humans ; Mitral Valve/diagnostic imaging |
| مستخلص: | There is an urgent unmet need to develop a fully-automated image-based left ventricle mitral valve analysis tool to support surgical decision making for ischemic mitral regurgitation patients. This requires an automated tool for segmentation and modeling of the left ventricle and mitral valve from immediate pre-operative 3D transesophageal echocardiography. Previous works have presented methods for semi-automatically segmenting and modeling the mitral valve, but do not include the left ventricle and do not avoid self-intersection of the mitral valve leaflets during shape modeling. In this study, we develop and validate a fully automated algorithm for segmentation and shape modeling of the left ventricular mitral valve complex from pre-operative 3D transesophageal echocardiography. We performed a 3-fold nested cross validation study on two datasets from separate institutions to evaluate automated segmentations generated by nnU-net with the expert manual segmentation which yielded average overall Dice scores of 0.82±0.03 (set A), 0.87±0.08 (set B) respectively. A deformable medial template was subsequently fitted to the segmentation to generate shape models. Comparison of shape models to the manual and automatically generated segmentations resulted in an average Dice score of 0.93-0.94 and 0.75-0.81 for the left ventricle and mitral valve, respectively. This is a substantial step towards automatically analyzing the left ventricle mitral valve complex in the operating room. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2022. Published by Elsevier B.V.) |
| معلومات مُعتمدة: | R01 HL103723 United States HL NHLBI NIH HHS; F30 HL142138 United States HL NHLBI NIH HHS |
| فهرسة مساهمة: | Keywords: 3D transesophageal echocardiography; Deep learning; Diffeomorphic medial modeling; Ischemic mitral regurgitation |
| تواريخ الأحداث: | Date Created: 20220630 Date Completed: 20220726 Latest Revision: 20220727 |
| رمز التحديث: | 20240628 |
| DOI: | 10.1016/j.media.2022.102513 |
| PMID: | 35772323 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1361-8423 |
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| DOI: | 10.1016/j.media.2022.102513 |