使用对称边界追踪对脊髓磁共振成像进行自动分割。
Automatic segmentation of spinal cord MRI using symmetric boundary tracing.
作者信息
Mukherjee Dipti Prasad, Cheng Irene, Ray Nilanjan, Mushahwar Vivian, Lebel Marc, Basu Anup
机构信息
Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata 700108, India.
出版信息
IEEE Trans Inf Technol Biomed. 2010 Sep;14(5):1275-8. doi: 10.1109/TITB.2010.2052060. Epub 2010 Jun 7.
Abstract
We develop an adaptive active contour tracing algorithm for extraction of spinal cord from MRI that is fully automatic, unlike existing approaches that need manually chosen seeds. We can accurately extract the target spinal cord and construct the volume of interest to provide visual guidance for strategic rehabilitation surgery planning.
摘要
我们开发了一种用于从磁共振成像（MRI）中提取脊髓的自适应主动轮廓跟踪算法，该算法是完全自动化的，这与现有的需要手动选择种子点的方法不同。我们能够准确提取目标脊髓并构建感兴趣体积，为战略性康复手术规划提供视觉指导。
相似文献
1
Automatic segmentation of spinal cord MRI using symmetric boundary tracing.使用对称边界追踪对脊髓磁共振成像进行自动分割。
IEEE Trans Inf Technol Biomed. 2010 Sep;14(5):1275-8. doi: 10.1109/TITB.2010.2052060. Epub 2010 Jun 7.
2
Spinal Cord Segmentation by One Dimensional Normalized Template Matching: A Novel, Quantitative Technique to Analyze Advanced Magnetic Resonance Imaging Data.基于一维归一化模板匹配的脊髓分割：一种分析高级磁共振成像数据的新型定量技术。
PLoS One. 2015 Oct 7;10(10):e0139323. doi: 10.1371/journal.pone.0139323. eCollection 2015.
3
Automatic Spinal Cord Gray Matter Quantification: A Novel Approach.自动脊髓灰质定量：一种新方法。
AJNR Am J Neuroradiol. 2019 Sep;40(9):1592-1600. doi: 10.3174/ajnr.A6157. Epub 2019 Aug 22.
4
Fully-integrated framework for the segmentation and registration of the spinal cord white and gray matter.用于脊髓白质和灰质分割与配准的全集成框架。
Neuroimage. 2017 Apr 15;150:358-372. doi: 10.1016/j.neuroimage.2016.09.026. Epub 2016 Sep 20.
5
Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.基于拓扑约束的自动磁共振脊髓分割方法，适用于可变视野。
Neuroimage. 2013 Dec;83:1051-62. doi: 10.1016/j.neuroimage.2013.07.060. Epub 2013 Aug 6.
6
Robust, accurate and fast automatic segmentation of the spinal cord.脊髓的稳健、准确和快速自动分割。
Neuroimage. 2014 Sep;98:528-36. doi: 10.1016/j.neuroimage.2014.04.051. Epub 2014 Apr 27.
7
Automatic spinal cord localization, robust to MRI contrasts using global curve optimization.基于全局曲线优化的自动脊髓定位，对 MRI 对比度具有鲁棒性。
Med Image Anal. 2018 Feb;44:215-227. doi: 10.1016/j.media.2017.12.001. Epub 2017 Dec 6.
8
Automatic Segmentation of the Spinal Cord and Spinal Canal Coupled With Vertebral Labeling.脊髓和椎管的自动分割与椎体标记相结合。
IEEE Trans Med Imaging. 2015 Aug;34(8):1705-18. doi: 10.1109/TMI.2015.2437192. Epub 2015 May 22.
9
Automated boundary extraction of the spinal canal in MRI based on dynamic programming.基于动态规划的MRI中脊髓管自动边界提取
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6559-62. doi: 10.1109/EMBC.2012.6347497.
10
Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks.基于优化的混合残差注意卷积神经网络的多发性硬化症患者真实世界 MRI 下的自动颈椎脊髓分割。
J Digit Imaging. 2022 Oct;35(5):1131-1142. doi: 10.1007/s10278-022-00637-4. Epub 2022 Jul 5.
引用本文的文献
1
A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification.一种通过轴向和矢状磁共振成像分割和分类来确定颈脊髓损伤严重程度的深度学习方法。
Eur Spine J. 2024 Nov;33(11):4204-4213. doi: 10.1007/s00586-024-08464-7. Epub 2024 Aug 29.
2
Comparative neuroanatomy of the lumbosacral spinal cord of the rat, cat, pig, monkey, and human.大鼠、猫、猪、猴和人腰骶脊髓的比较神经解剖学。
Sci Rep. 2021 Jan 21;11(1):1955. doi: 10.1038/s41598-021-81371-9.
3
Reliable and fast volumetry of the lumbar spinal cord using cord image analyser (Cordial).使用 Cordial（脊髓图像分析器）可靠且快速地进行腰椎脊髓容积测量。
Eur Radiol. 2018 Nov;28(11):4488-4495. doi: 10.1007/s00330-018-5431-1. Epub 2018 Apr 30.
4
Reliable volumetry of the cervical spinal cord in MS patient follow-up data with cord image analyzer (Cordial).使用脊髓图像分析仪（Cordial）对多发性硬化症患者随访数据中的颈脊髓进行可靠的容积测量。
J Neurol. 2016 Jul;263(7):1364-74. doi: 10.1007/s00415-016-8133-0. Epub 2016 May 9.
5
On computerized methods for spine analysis in MRI: a systematic review.关于磁共振成像中脊柱分析的计算机化方法：一项系统综述。
Int J Comput Assist Radiol Surg. 2016 Aug;11(8):1445-65. doi: 10.1007/s11548-016-1350-2. Epub 2016 Feb 9.
6
Segmentation of the human spinal cord.人类脊髓的分割
MAGMA. 2016 Apr;29(2):125-53. doi: 10.1007/s10334-015-0507-2. Epub 2016 Jan 2.
7
Spinal Cord Segmentation by One Dimensional Normalized Template Matching: A Novel, Quantitative Technique to Analyze Advanced Magnetic Resonance Imaging Data.基于一维归一化模板匹配的脊髓分割：一种分析高级磁共振成像数据的新型定量技术。
PLoS One. 2015 Oct 7;10(10):e0139323. doi: 10.1371/journal.pone.0139323. eCollection 2015.
8
Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.基于拓扑约束的自动磁共振脊髓分割方法，适用于可变视野。
Neuroimage. 2013 Dec;83:1051-62. doi: 10.1016/j.neuroimage.2013.07.060. Epub 2013 Aug 6.
本文引用的文献
1
Spinal crawlers: deformable organisms for spinal cord segmentation and analysis.脊柱爬行器：用于脊髓分割与分析的可变形生物体。
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):808-15. doi: 10.1007/11866565_99.
2
A knowledge-based approach to automatic detection of the spinal cord in CT images.一种基于知识的CT图像中脊髓自动检测方法。
IEEE Trans Med Imaging. 2002 Dec;21(12):1504-16. doi: 10.1109/TMI.2002.806578.
3
Spinal cord microstimulation generates functional limb movements in chronically implanted cats.脊髓微刺激可在长期植入的猫身上产生功能性肢体运动。
Exp Neurol. 2000 Jun;163(2):422-9. doi: 10.1006/exnr.2000.7381.
Zotero 插件