Disk herniation and disk bulge are two common types of lumbar intervertebral disk (IVD) injuries that often result in low back pain and tingling and numbness in the legs. Magnetic resonance imaging (MRI) is a widely used technique for detecting lumbar disorders, and its advantages include high image quality and noninvasive and ionization-free radiation. This system can also be used to detect other lumbar abnormalities and cervical spondylosis. This system provided a web-based test for interpreting lumbar disk MR images that could significantly improve diagnostic efficiency and standardized diagnosis reports. In the fourth step, the 3-class classification (normal disk, disk bulge, and disk herniation) accuracies for the L1-L2, L2-元, 元-L4, L4-L5, and L5-S1 IVDs were 92.7%, 84.4%, 92.1%, 90.4%, and 84.2%, respectively.Ĭonclusions: The automatic diagnosis system was successfully built, and it could classify images of normal disks, disk bulge, and disk herniation. In the third step, the accuracy for automatically locating the intervertebral disk region of interest in axial MR images was 100%. In the second step, it spontaneously identified the corresponding disk in each axial lumbar disk MR image with 100% accuracy. In the first step, it automatically located vertebral bodies (including the L1, L2, 元, L4, L5, and S1) in sagittal images by using the faster region-based convolutional neural network, and our fourfold cross-validation showed 100% accuracy. This study is mainly about identifying the position of IVDs (lumbar vertebra 1 to L2, L2-元, 元-L4, L4-L5, and L5 to sacral vertebra 1) by analyzing the geometrical relationship between sagittal and axial images and classifying axial lumbar disk MR images via deep convolutional neural networks. Therefore, we chose the two most common diseases-disk bulge and herniation-as research subjects. Methods: The diagnosis of lumbar vertebral disorders is highly dependent on medical images. Objective: The aim of this study was to present an automatic system for diagnosing disk bulge and herniation that saves time and can effectively and significantly reduce the workload of radiologists. However, there is a lack of efficient tools for effectively interpreting massive amounts of MR images to meet the requirements of many radiologists.
Magnetic resonance (MR) imaging is one of the most efficient techniques for detecting lumbar diseases and is widely used for making clinical diagnoses at hospitals.
No 10 Eastern section of the third FengCheng RdĮmail: Disk herniation and disk bulge are two common disorders of lumbar intervertebral disks (IVDs) that often result in numbness, pain in the lower limbs, and lower back pain. The Affiliated Hospital of Northwest University Xi’an Number 3 Hospital Xi’an Key Laboratory of Cardiovascular and Cerebrovascular Diseases JMIR Perioperative Medicine 38 articles.JMIR Biomedical Engineering 42 articles.Journal of Participatory Medicine 57 articles.JMIR Rehabilitation and Assistive Technologies 114 articles.JMIR Pediatrics and Parenting 117 articles.Interactive Journal of Medical Research 207 articles.JMIR Public Health and Surveillance 669 articles.Journal of Medical Internet Research 5463 articles.