Title :
Detection of Disk in the MRI Spine Image with Reconstructing Coronal Plane
Author :
Zha, Yanli ; Sun, Dongmei ; Weiss, Kenneth L.
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China
Abstract :
Spine MRI plays a very important role in diagnosing various spinal diseases. Computer processing of spine MR images will make the diagnosis more accurate, consistent, time efficient. However, manual tracking the spinal structure is tedious, so automated tracking and segmentation of the spine are highly sirable. In this paper, we propose a novel method to locate all the disks through transforming the sagittal plane to the coronal plane. This method is especially effective for severe scoliosis patients. The efficiency of the proposed method is demonstrated by experiments using clinical MR images provided by College of Medicine, University of Cincinnati.
Keywords :
biomedical MRI; bone; diseases; image reconstruction; image segmentation; medical image processing; orthopaedics; MRI spine image; automated tracking; coronal plane reconstruction; disk detection; sagittal plane; scoliosis; spinal diseases; spine segmentation; Biomedical imaging; Bone diseases; Image reconstruction; Image segmentation; Information science; Magnetic resonance imaging; Medical diagnostic imaging; Mice; Radiology; Spine;
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
DOI :
10.1109/ICBBE.2009.5162605