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CT-based patient individual anatomical modeling of the lung and its impact on thoracic surgery

 
: Stöcker, C.; Bornemann, L.; Dicken, V.; Krass, S.; Kuhnigk, J.-M.; Zidowitz, S.; Peitgen, H.O.

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Dössel, O.:
World Congress on Medical Physics and Biomedical Engineering. Vol.4: Image processing, biosignal processing, modelling and simulation, biomechanics. Part 3
Berlin: Springer, 2009 (IFMBE proceedings 25,4)
ISBN: 978-3-642-03881-5 (print)
ISBN: 978-3-642-03882-2 (online)
DOI: 10.1007/978-3-642-03882-2
S.1592-1595
World Congress on Medical Physics and Biomedical Engineering <2009, München>
International Union for Physical and Engineering Sciences in Medicine (International Congress) <11, 2009, München>
Englisch
Konferenzbeitrag
Fraunhofer MEVIS ()

Abstract
Thoracic surgery would benefit from CT based risk analysis and preoperative planning based on patient individual models. This includes the decision support regarding resection strategies (general operability, lobectomy, sublobar resection, etc.) and the planning and supporting of the surgery - open surgery as well as video assisted thoracoscopic surgery (VATS).
We present methods for segmentation of anatomical structures like the bronchial tree, the pulmonary vessels, bronchopulmonary lobes and segments, and the tumor itself. For this segmented structures suitable visualization methods were developed that help the surgeon in planning the tumor resection. In particular resection of bronchial carcinoma close to the bronchial hilus would benefit from this analysis. Also, the intraoperative search of metastases could be supported.
Decision support for resection strategies consists in the analysis of position and extent of the tumor related to vessels, lobes and segments. Additionally, by calculation of volumes and quantitative CT measures like MLD and Emphysema Index, an improved estimation of postoperative lung function is expected.

: http://publica.fraunhofer.de/dokumente/N-135463.html