Document Type
Conference Paper
Publication Date
2021
Publication Title
SIMUL 2021, The Thirteenth International Conference on Advances in System Simulation
Pages
14-19
Conference Name
SIMUL 2021, The Thirteenth International Conference on Advances in System Simulation, October 3-7, 2021, Barcelona, Spain
Abstract
Severe adolescent idiopathic scoliosis (AIS) is corrected by surgical procedures that necessitate ligament releases. To determine appropriate release allotments, soft tissues must be localized on a patient-specific basis, However, routine computer tomography (CT) imaging precludes traditional, voxel-based soft tissue localization. Fortunately, recent studies have proposed top-down segmentation methods, which elucidate soft tissues using pre-operative CT volumes. While the accuracy of vertebral segmentations obtained from these methods has not been determined, the accuracy of soft tissue segmentations has not. To ensure the soft tissue segmentation methods are clinically applicable, soft tissue validation must occur. This study presents an evaluation measure for surmised soft tissues, accomplished through the use of synthetic CT (sCT) volumes. The sCTs have geometrically scoliotic shapes and provide ground truth information, which was used to evaluate soft tissue segmentations and establish their clinical utility. This proposed validation method is achieved fully in silico and is generically applicable, allowing future soft tissue elucidation methods to be assessed.
Rights
Copyright © IARIA, 2021.
Included with the kind written permission of the publisher.
Original Publication Citation
Tapp, A., & Audette, M. (2021) Evaluation of spinal anatomy segmentation methods using synthetic computed tomography volumes. In F. Hermann, M. Popescu, & M. A. Audette (Eds.), SIMUL 2021, The Thirteenth International Conference (pp. 14-19). IARA Press (Xpert Publishing Services). https://www.thinkmind.org/library/SIMUL/SIMUL_2021/simul_2021_1_30_58008.html
Repository Citation
Tapp, Austin and Audette, Michel, "Evaluation of Spinal Anatomy Segmentation Methods Using Synthetic Computed Tomography Volumes" (2021). Electrical & Computer Engineering Faculty Publications. 523.
https://digitalcommons.odu.edu/ece_fac_pubs/523
ORCID
0000-0003-0011-1731 (Audette)
Included in
Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons, Electrical and Computer Engineering Commons, Neurosurgery Commons
Comments
Publisher landing page: https://www.thinkmind.org/library/SIMUL/SIMUL_2021