Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging: A preliminary report

Xiao Ke Yang; Hakseung Kim; Seong Yi; Eun Jin Jeong; Dae Hyeon Park; Young Tak Kim; Hack Jin Lee; Dong Ju Kim

doi:10.1109/IWW-BCI.2015.7073045

Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging: A preliminary report

Xiao Ke Yang, Hakseung Kim, Seong Yi, Eun Jin Jeong, Dae Hyeon Park, Young Tak Kim, Hack Jin Lee, Dong Ju Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	3rd International Winter Conference on Brain-Computer Interface, BCI 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781479974948
DOIs	https://doi.org/10.1109/IWW-BCI.2015.7073045
Publication status	Published - 2015 Mar 30
Event	2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of Duration: 2015 Jan 12 → 2015 Jan 14

Other

Other	2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
Country	Korea, Republic of
City	Gangwon-Do
Period	15/1/12 → 15/1/14

Fingerprint

Keywords

Image analysis
magnetic resonance imaging
morphometry
myelopathy
spinal cord injury

ASJC Scopus subject areas

Human-Computer Interaction
Cognitive Neuroscience
Sensory Systems

Cite this

Ke Yang, X., Kim, H., Yi, S., Jeong, E. J., Park, D. H., Kim, Y. T., Lee, H. J., & Kim, D. J. (2015). Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging: A preliminary report. In 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 [7073045] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2015.7073045

Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging : A preliminary report. / Ke Yang, Xiao; Kim, Hakseung; Yi, Seong; Jeong, Eun Jin; Park, Dae Hyeon; Kim, Young Tak; Lee, Hack Jin; Kim, Dong Ju.

3rd International Winter Conference on Brain-Computer Interface, BCI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7073045.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ke Yang, X, Kim, H, Yi, S, Jeong, EJ, Park, DH, Kim, YT, Lee, HJ & Kim, DJ 2015, Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging: A preliminary report. in 3rd International Winter Conference on Brain-Computer Interface, BCI 2015., 7073045, Institute of Electrical and Electronics Engineers Inc., 2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015, Gangwon-Do, Korea, Republic of, 15/1/12. https://doi.org/10.1109/IWW-BCI.2015.7073045

Ke Yang, Xiao ; Kim, Hakseung ; Yi, Seong ; Jeong, Eun Jin ; Park, Dae Hyeon ; Kim, Young Tak ; Lee, Hack Jin ; Kim, Dong Ju. / Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging : A preliminary report. 3rd International Winter Conference on Brain-Computer Interface, BCI 2015. Institute of Electrical and Electronics Engineers Inc., 2015.

@inproceedings{7ce492e9db954b06b7ed380de95da4fd,

title = "Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging: A preliminary report",

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 = "Image analysis, magnetic resonance imaging, morphometry, myelopathy, spinal cord injury",

author = "{Ke Yang}, Xiao and Hakseung Kim and Seong Yi and Jeong, {Eun Jin} and Park, {Dae Hyeon} and Kim, {Young Tak} and Lee, {Hack Jin} and Kim, {Dong Ju}",

year = "2015",

month = mar

day = "30",

doi = "10.1109/IWW-BCI.2015.7073045",

language = "English",

isbn = "9781479974948",

booktitle = "3rd International Winter Conference on Brain-Computer Interface, BCI 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 ; Conference date: 12-01-2015 Through 14-01-2015",

}

TY - GEN

T1 - Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging

T2 - 2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015

AU - Ke Yang, Xiao

AU - Kim, Hakseung

AU - Yi, Seong

AU - Jeong, Eun Jin

AU - Park, Dae Hyeon

AU - Kim, Young Tak

AU - Lee, Hack Jin

AU - Kim, Dong Ju

PY - 2015/3/30

Y1 - 2015/3/30

N2 - 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.

AB - 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.

KW - Image analysis

KW - magnetic resonance imaging

KW - morphometry

KW - myelopathy

KW - spinal cord injury

UR - http://www.scopus.com/inward/record.url?scp=84927945607&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84927945607&partnerID=8YFLogxK

U2 - 10.1109/IWW-BCI.2015.7073045

DO - 10.1109/IWW-BCI.2015.7073045

M3 - Conference contribution

AN - SCOPUS:84927945607

SN - 9781479974948

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

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 12 January 2015 through 14 January 2015

ER -

Access to Document

10.1109/IWW-BCI.2015.7073045