Title
Robust Local Intervertebral Disc Alignment for Spinal MRI
Abstract
Magnetic resonance (MR) imaging is frequently used to diagnose abnormalities in the spinal intervertebral discs. Owing to the non-isotropic resolution of typical MR spinal scans, physicians prefer to align the scanner plane with the disc in order to maximize the diagnostic value and to facilitate comparison with prior and follow-up studies. Commonly a planning scan is acquired of the whole spine, followed by a diagnostic scan aligned with selected discs of interest. Manual determination of the optimal disc plane is tedious and prone to operator variation. A fast and accurate method to automatically determine the disc alignment can decrease examination time and increase the reliability of diagnosis. We present a validation study of an automatic spine alignment system for determining the orientation of intervertebral discs in MR studies. In order to measure the effectiveness of the automatic alignment system, we compared its performance with human observers. 12 MR spinal scans of adult spines were tested. Two observers independently indicated the intervertebral plane for each disc, and then repeated the procedure on another day, in order to determine the inter- and intra-observer variability associated with manual alignment. Results were also collected for the observers utilizing the automatic spine alignment system, in order to determine the method's consistency and its accuracy with respect to human observers. We found that the results from the automatic alignment system are comparable with the alignment determined by human observers, with the computer showing greater speed and consistency.
Year
DOI
Venue
2006
10.1117/12.652311
Proceedings of SPIE
Keywords
Field
DocType
spine,MRI,intervertebral disc alignment
Diagnostic scan,Computer vision,Scanner,Artificial intelligence,Medical diagnostics,Engineering,Intervertebral disc,Computing systems,Magnetic resonance imaging
Conference
Volume
ISSN
Citations 
6144
0277-786X
3
PageRank 
References 
Authors
0.50
4
7
Name
Order
Citations
PageRank
James Reisman120411.56
Jan Höppner230.50
Szu-Hao Huang314311.87
Li Zhang4235.03
Shang-Hong Lai51169124.03
Benjamin Odry6337.61
Carol L. Novak714623.88