دورية أكاديمية
أعرض في EDS

Incremental regression of localization context for automatic segmentation of ossified ligamentum flavum from CT data.

التفاصيل البيبلوغرافية
العنوان: Incremental regression of localization context for automatic segmentation of ossified ligamentum flavum from CT data.
المؤلفون: Tao R; Institute of Medical Robotics, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, 200240, China., Zou X; Institute of Medical Robotics, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, 200240, China., Gao X; Institute of Medical Robotics, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, 200240, China., Li X; Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China., Wang Z; Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China., Zhao X; Department of Orthopedics, Shanghai 9th People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China. zhaoxinmlg@126.com., Zheng G; Institute of Medical Robotics, Shanghai Jiao Tong University, Dongchuan Road, Shanghai, 200240, China. guoyan.zheng@sjtu.edu.cn., Hang D; Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China. donghua.hang@shsmu.edu.cn.
المصدر: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2024 Sep; Vol. 19 (9), pp. 1723-1731. Date of Electronic Publication: 2024 Apr 03.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Heidelberg : Springer
مواضيع طبية MeSH: Ligamentum Flavum*/diagnostic imaging , Ligamentum Flavum*/pathology , Ossification, Heterotopic*/diagnostic imaging , Ossification, Heterotopic*/diagnosis , Tomography, X-Ray Computed*/methods, Humans ; Thoracic Vertebrae/diagnostic imaging ; Thoracic Vertebrae/surgery ; Laminectomy/methods ; Decompression, Surgical/methods
مستخلص: Purpose: Segmentation of ossified ligamentum flavum (OLF) plays a crucial role in developing computer-assisted, image-guided systems for decompressive thoracic laminectomy. Manual segmentation is time-consuming, tedious, and label-intensive. It also suffers from inter- and intra-observer variability. Automatic segmentation is highly desired.
Methods: A two-stage, localization context-aware framework is developed for automatic segmentation of ossified ligamentum flavum. In the first stage, localization heatmaps of OLFs are obtained via incremental regression. In the second stage, the obtained heatmaps are then treated as the localization context for a segmentation U-Net. Our framework can directly map a whole volumetic data to its volume-wise labels.
Results: We designed and conducted comprehensive experiments on datasets of 100 patients to evaluate the performance of the proposed method. Our method achieved an average Dice similarity coefficient of 61.2 ± 7.6%, an average surface distance of 1.1 ± 0.5 mm, and an average positive predictive value of 62.0 ± 12.8%.
Conclusion: To the best knowledge of the authors, this is the first study aiming for automatic segmentation of ossified ligamentum flavum. Results from the comprehensive experiments demonstrate the superior performance of the proposed method over the state-of-the-art methods.
(© 2024. CARS.)
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معلومات مُعتمدة: U20A20199 National Natural Science Foundation of China
فهرسة مساهمة: Keywords: Context-guided; Incremental regression; Ossification of the ligament flavum; Segmentation
تواريخ الأحداث: Date Created: 20240403 Date Completed: 20240831 Latest Revision: 20240831
رمز التحديث: 20240901
DOI: 10.1007/s11548-024-03109-y
PMID: 38568402
قاعدة البيانات: MEDLINE
الوصف
تدمد:1861-6429
DOI:10.1007/s11548-024-03109-y