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Three-dimensional reconstruction of Kambin's triangle based on automated magnetic resonance image segmentation
Su, Zhihai1; Liu, Zheng1; Wang, Min1; Li, Shaolin2; Lin, Liyan3; Yuan, Zhen4; Pang, Shumao3; Feng, Qianjin3; Chen, Tao1; Lu, Hai1
2022-03
Source PublicationJournal of Orthopaedic Research
ISSN0736-0266
Abstract

The three-dimensional (3D) anatomy of Kambin's triangle is crucial for surgical planning in minimally invasive spine surgery via the transforaminal approach. Few pieces of research have, however, used image segmentation to explore the 3D reconstruction of Kambin's triangle. This study aimed to develop a new method of 3D reconstruction of Kambin's triangle based on automated magnetic resonance image (MRI) segmentation of the lumbar spinal structures. An experienced (>5 years) “ground truth” spinal pain physician meticulously segmented and labeled spinal structures (e.g., bones, dura mater, discs, and nerve roots) on MRI. Subsequently, a 3D U-Net algorithm was developed for automatically segmenting lumbar spinal structures for the 3D reconstruction of Kambin's triangle. The Dice similarity coefficient (DSC), precision, recall, and the area of Kambin's triangle were used to assess anatomical performance. The automatic segmentation of all spinal structures at the L4/L5 levels and L5/S1 levels resulted in good performance: DSC = 0.878/0.883, precision = 0.889/0.890, recall = 0.873/0.882. Furthermore, the area measurements of Kambin's triangle revealed no significant difference between ground truth and automatic segmentation (p = 0.333 at the L4/L5 level, p = 0.302 at the L5/S1 level). The 3D U-Net model used in this study performed well in terms of simultaneous segmentation of multi-class spinal structures (including bones, dura mater, discs, and nerve roots) on MRI, allowing for accurate 3D reconstruction of Kambin's triangle.

KeywordAutomated Magnetic Resonance Image Segmentation Kambin's Triangle Spinal Structures Three-dimensional Reconstruction
DOI10.1002/jor.25303
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaOrthopedics
WOS SubjectOrthopedics
WOS IDWOS:000767235700001
Scopus ID2-s2.0-85126056436
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorChen, Tao; Lu, Hai
Affiliation1.Department of Spinal Surgery, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong, China
2.Department of Radiology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong, China
3.Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China
4.Faculty of Health Sciences, University of Macau, Taipa, Macao
Recommended Citation
GB/T 7714
Su, Zhihai,Liu, Zheng,Wang, Min,et al. Three-dimensional reconstruction of Kambin's triangle based on automated magnetic resonance image segmentation[J]. Journal of Orthopaedic Research,2022.
APA Su, Zhihai,Liu, Zheng,Wang, Min,Li, Shaolin,Lin, Liyan,Yuan, Zhen,Pang, Shumao,Feng, Qianjin,Chen, Tao,&Lu, Hai.(2022).Three-dimensional reconstruction of Kambin's triangle based on automated magnetic resonance image segmentation.Journal of Orthopaedic Research.
MLA Su, Zhihai,et al."Three-dimensional reconstruction of Kambin's triangle based on automated magnetic resonance image segmentation".Journal of Orthopaedic Research (2022).
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