Title :
Generation of a cardiac shape model from CT Data
Author :
Lorenz, Cristian ; Von Berg, Jens
Author_Institution :
Res. Sector Med. Imaging Syst., Philips Res. Eur. Hamburg
Abstract :
In this paper we describe the generation of a geometric cardiac shape model based on cardiac CTA data. The model includes the four cardiac chambers and the trunks of the connected vasculature, as well as the coronary arteries and a set of cardiac landmarks. A mean geometric model for the end-diastolic heart has been built based on 27 end-diastolic cardiac CTA datasets and a mean motion model based on 11 multiphase datasets. The model has been evaluated with respect to its capability to estimate the position of cardiac structures. Allowing a similarity transformation to adapt the model to image data, cardiac surface positions can be predicted with an accuracy of below 5 mm
Keywords :
angiocardiography; biomedical measurement; cardiovascular system; computerised tomography; position measurement; shape measurement; CT data; cardiac chambers; cardiac shape model generation; cardiac structures; cardiac surface position estimation; connected vasculature; coronary arteries; end-diastolic cardiac CTA datasets; mean geometric model; mean motion model; multiphase datasets; Arteries; Biomedical imaging; Computed tomography; Deformable models; Heart; Magnetic resonance imaging; Positron emission tomography; Shape; Solid modeling; Surface reconstruction;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.259639
