Multi-Modal MRI Images Analysis for Improved Herniated Disc Diagnosis Using Deep Learning

Abstract

Herniated discs are a common medical condition that can cause severe back pain and lead to serious complications if not diagnosed and treated correctly. MRI is the preferred imaging modality for diagnosing herniated discs, providing detailed images of the spine and surrounding structures. A herniated disc, also known as a slipped or ruptured disc, occurs when the soft inner portion of a spinal disc protrudes through a tear in the more rigid outer layer. This can cause pain, numbness, and weakness in the affected area, typically the lower back or neck. The most common cause of a herniated disc is age-related degeneration of the spine, which can weaken the disc's outer layer and cause it to bulge or rupture. However, other factors such as improper lifting, repetitive strain, or trauma can also contribute to developing a herniated disc. Early detection of a herniated disc is vital because it allows for prompt treatment, preventing the condition from worsening and potentially causing permanent nerve damage.