@inproceedings{1063cf0e3702490f9ccc42ba694129d2,
title = "Change assessment for CT spine imaging",
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 = "Computed Tomography, Organ Shape Modeling, Osteoporosis, Spine Assessment",
author = "Cristian Lorenz and Thomas Netsch and Tobias Klinder and Dirk Muller and Thomas Baum and Bauer, {Jan S.} and Noel, {Peter B.}",
year = "2013",
doi = "10.1109/ISBI.2013.6556421",
language = "English",
isbn = "9781467364546",
series = "Proceedings - International Symposium on Biomedical Imaging",
pages = "97--100",
booktitle = "ISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging",
note = "2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 ; Conference date: 07-04-2013 Through 11-04-2013",
}