Title :
Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging: A preliminary report
Author :
Xiao ke Yang ; Hakseung Kim ; Seong Yi ; Eun-Jin Jeong ; Dae-Hyeon Park ; Young-Tak Kim ; Hack-Jin Lee ; Dong-Joo Kim
Author_Institution :
Dept. of Brain & Cognitive Eng., Korea Univ., Seoul, South Korea
Abstract :
Patients with spinal injury, acute or chronic, often show the morphological changes of spinal cord, vertebra or intervertebral discs. However the morphological measurements on such abnormalities are currently conduced manually by clinicians. In this preliminary study the feasibility of semiautomatic designation and segmentation of spinal cord and vertebra in magnetic resonance images is investigated.
Keywords :
biomedical MRI; image segmentation; injuries; medical image processing; neurophysiology; abnormalities; intervertebral discs; magnetic resonance images; morphological changes; morphological measurements; semiautomatic designation; spinal MR imaging; spinal cord segmentation; spinal injury; vertebra segmentation; Abstracts; Magnetic resonance imaging; Spinal cord injury; Image analysis; magnetic resonance imaging; morphometry; myelopathy; spinal cord injury;
Conference_Titel :
Brain-Computer Interface (BCI), 2015 3rd International Winter Conference on
Conference_Location :
Sabuk
Print_ISBN :
978-1-4799-7494-8
DOI :
10.1109/IWW-BCI.2015.7073045
