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

fYear

2015

fDate

12-14 Jan. 2015

Firstpage

1

Lastpage

2

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Brain-Computer Interface (BCI), 2015 3rd International Winter Conference on

Conference_Location

Sabuk

Print_ISBN

978-1-4799-7494-8

Type

conf

DOI

10.1109/IWW-BCI.2015.7073045

Filename

7073045