Title :
Change assessment for CT spine imaging
Author :
Lorenz, Casimir ; Netsch, Thomas ; Klinder, T. ; Muller, Dirk ; Baum, Thomas C. ; Bauer, Jan S. ; Noel, Peter B.
Author_Institution :
Philips Res. Labs. Hamburg, Hamburg, Germany
Abstract :
Efficient change quantification is a key issue in follow-up studies. For the support of spine follow up examinations in the context of osteoporosis, we successfully apply in this paper a model based vertebra assessment framework. Automated vertebra labeling and segmentation is accompanied by registration of each vertebra-pair in base-line and follow-up CT scan. The latter is achieved by a point-wise registration of the individualized model meshes. A surface displacement distance measure between pairs of vertebra is introduced and applied to detect interval changes caused by osteoporotic compression fractures of the vertebral body. The associated ROC curve is characterized by an area-under-curve value of 0.97, indicating a high classification power.
Keywords :
biomechanics; bone; computerised tomography; diseases; fracture; image registration; image segmentation; medical image processing; mesh generation; orthopaedics; sensitivity analysis; CT spine imaging; ROC curve; automated vertebra labeling; automated vertebra segmentation; change quantification; follow-up CT scan; individualized model meshes; interval change; model based vertebra assessment framework; osteoporosis; osteoporotic compression fractures; point-wise registration; spine follow up examination; surface displacement distance; vertebra-pair in base-line registration; vertebral body; Adaptation models; Bones; Computed tomography; Image segmentation; Indexes; Lesions; Osteoporosis; Computed Tomography; Organ Shape Modeling; Osteoporosis; Spine Assessment;
Conference_Titel :
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4673-6456-0
DOI :
10.1109/ISBI.2013.6556421