Paper
27 March 2009 Computer-assisted scheme for automated determination of imaging planes in cervical spinal cord MRI
Masaki Tsurumaki, Du-Yih Tsai, Yongbum Lee, Masaru Sekiya, Kiyoko Kazama
Author Affiliations +
Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72593W (2009) https://doi.org/10.1117/12.811082
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
This paper presents a computerized scheme to assist MRI operators in accurate and rapid determination of sagittal sections for MRI exam of cervical spinal cord. The algorithm of the proposed scheme consisted of 6 steps: (1) extraction of a cervical vertebra containing spinal cord from an axial localizer image; (2) extraction of spinal cord with sagittal image from the extracted vertebra; (3) selection of a series of coronal localizer images corresponding to various, involved portions of the extracted spinal cord with sagittal image; (4) generation of a composite coronal-plane image from the obtained coronal images; (5) extraction of spinal cord from the obtained composite image; (6) determination of oblique sagittal sections from the detected location and gradient of the extracted spinal cord. Cervical spine images obtained from 25 healthy volunteers were used for the study. A perceptual evaluation was performed by five experienced MRI operators. Good agreement between the automated and manual determinations was achieved. By use of the proposed scheme, average execution time was reduced from 39 seconds/case to 1 second/case. The results demonstrate that the proposed scheme can assist MRI operators in performing cervical spinal cord MRI exam accurately and rapidly.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Masaki Tsurumaki, Du-Yih Tsai, Yongbum Lee, Masaru Sekiya, and Kiyoko Kazama "Computer-assisted scheme for automated determination of imaging planes in cervical spinal cord MRI", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72593W (27 March 2009); https://doi.org/10.1117/12.811082
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Spinal cord

Magnetic resonance imaging

Composites

Feature extraction

Spine

Image processing

Edge detection

Back to Top