Automatic Modic Changes Classification in Spinal MRI

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• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9402
• 期：1
• 页码：14-26
• 全文大小：9,976 KB
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• 作者单位：Amir Jamaludin (20)
  Timor Kadir (21)
  Andrew Zisserman (20)
  
  20. University of Oxford, Oxford, UK
  21. Mirada Medical, Oxford, UK
  
• 丛书名：Computational Methods and Clinical Applications for Spine Imaging
• ISBN：978-3-319-41827-8
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9402

文摘

This paper describes a novel automatic system for Modic changes classification of vertebral endplates. Modic changes are classes of vertebral degenerations visible as intensity variations in magnetic resonance images (MRI). The system operates on T1 and T2 MRI. We introduce three main novelties: 1. a vertebrae alignment scheme via precise bounding boxes obtained through corner localisation, 2. vertebral endplate classification in three dimensions, and 3. Modic changes classification. The system was trained and validated using a large dataset of 785 patients, containing MRIs sourced from a wide range of acquisition protocols. The proposed system achieved 87.8 % classification accuracy on our dataset.