Recent advances in high resolution magnetic resonance (MR) imaging of the spine provide
a basis for the automated assessment of intervertebral disc (IVD) and vertebral body (VB) …

Quantifying spinal cord (SC) atrophy in neurodegenerative and traumatic diseases brings
important diagnosis and prognosis information for the clinician. We recently developed the …

Backbone anatomical structure detection and labeling is a necessary step for various
analysis tasks of the vertebral column. Appearance, shape and geometry measurements are …

Purpose In the last decades, the increasing medical interest in magnetic resonance imaging
(MRI) of the spine gave rise to a growing number of publications on computerized methods …

This paper presents a method for localizing and labeling the lumbar vertebrae and
intervertebral discs in mid-sagittal MR image slices. The approach is based on a Markov …

Objective: Medical image processing is given importance in the area of recent research. This
facilitates the clinician to diagnosis, analyze, prognosis traumatic diseases. There is a huge …

We propose a novel fully automatic approach to localize the lumbar intervertebral discs in
MR images with PHOG based SVM and a probabilistic graphical model. At the local level …

Purpose More accurate and robust image segmentations are needed for identification of
spine pathologies and to assist with spine surgery planning and simulation. A framework for …

Accurate positioning of the responsible segment for patients with cervical spondylotic
myelopathy (CSM) is clinically important not only to the surgery but also to reduce the …

Recent developments in high resolution MRI scanning of the human spine are providing
increasing opportunities for the development of accurate automated approaches for …