Efficient and accurate vertebra labeling in medical images is important for longitudinal
assessment, pathological diagnosis, and clinical treatment of the spinal diseases. In …

Spinal cord is the one of the most important organs in the central nervous system (CNS). It
acts as the main processing hub which serves as the main passage line for information …

We present a method to address the challenging problem of automatic segmentation of
lumbar vertebrae from CT images acquired with varying fields of view. Our method is based …

Localization of the vertebrae is of importance in many medical applications. For example,
the vertebrae can serve as the landmarks in image registration. They can also provide a …

There has been a significant increase from 2010 to 2016 in the number of people suffering
from spine problems. The automatic image segmentation of the spine obtained from a …

For compression fracture detection and evaluation, an automatic X-ray image segmentation
technique that combines deep-learning and level-set methods is proposed. Automatic …

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 …

Spinal diseases are common and difficult to cure, which causes much suffering. Accurate
diagnosis and assessment of these diseases can considerably improve cure rates and the …

Background: For spinal surgery, exact knowledge about the shape of individual vertebra is
of great importance. However, due to the complex morphological features of human …

In this paper we describe a method for assisting radiological technologists in their routine
work to automatically determine the imaging plane in lumbar MRI. The method is first to …