Automatic Classification System for Lumbar Spine X-ray Images

Existing computer-based spinal stenosis diagnosis systems are not fully automatic. Their performance depends on the knowledge and experience of the user. Such a system is typically intended for specialists such as radiologists. We present in this paper a fully automatic system, more suitable for general practitioners for use in screening and initial diagnosis. To evaluate the performance of the proposed techniques, we build a system prototype with two environments – one for managing training images and building the classifiers, and the other environment for diagnosis use in practice. Our experimental results, based on an X-ray image database NHANES II available from the National Library of Medicine, indicates that the proposed system is effective for screening purposes.

• Type: Conference
• Year: 2006
• Where: CBMS
• Authors: Soontharee Koompairojn, Kien A. Hua, Chutima Bhadrakom
• Keywords: CBMS 2006, Fully Automatic, Initial Diagnosis, Medical Imaging, Spinal Stenosis Diagnosis