Publication details

Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data

Authors

JAKUBICEK Roman CHMELIK Jiri JAN Jiri OUŘEDNÍČEK Petr LAMBERT Lukas GAVELLI Giampaolo

Year of publication 2019
Type Article in Proceedings
Conference WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 1
MU Faculty or unit

Faculty of Medicine

Citation
Web https://link.springer.com/chapter/10.1007/978-981-10-9035-6_40
Doi http://dx.doi.org/10.1007/978-981-10-9035-6_40
Keywords Spine detection; Vertebra identification and segmentation; CADx; CT data; Oncological patient
Description In this paper, we describe a fully automatic CAD system for spine detection in CT data followed by vertebra identification and segmentation. There are several basic problems: spine detection including the determination of spinal axis in spinal CT data, a localisation of individual vertebrae and identification of their types (order in spine) in case of incomplete scans of spine and also the final vertebra segmentation. By a subjective strict expert validation, the algorithm provides 82.6% of fully correct vertebra segmentations. Based on that, it seems to be routinely usable and fully applicable in preparation for the following automatic spine bone lesion analysis.

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