DocumentCode :
724931
Title :
Open-source 4D statistical shape model of the heart for x-ray projection imaging
Author :
Unberath, Mathias ; Maier, Andreas ; Fleischmann, Dominik ; Hornegger, Joachim ; Fahrig, Rebecca
fYear :
2015
fDate :
16-19 April 2015
Firstpage :
739
Lastpage :
742
Abstract :
We present an open-source 4D (3D+t) statistical shape model of the heart developed as numerical phantom for cone-beam CT simulation. The training set consists of surface meshes from 20 ten-phase-CT angiography data sets extracted using automatic registration-based segmentation. Incorporating 90% of the training set variation, the model exhibits a generalization ability of 5.00 ± 0.93 mm and specificity of 7.30 ± 0.97 mm. The model is implemented in CONRAD, an open-source simulation and reconstruction framework. We provide all algorithms and high resolution projection data on the project´s homepage. To the best of our knowledge, this is the first open-source 4D statistical shape model of the heart.
Keywords :
cardiology; computerised tomography; diagnostic radiography; image reconstruction; image registration; image segmentation; medical image processing; phantoms; physiological models; statistical analysis; CONRAD; CT angiography data sets; X-ray projection imaging; automatic registration-based segmentation; cone-beam CT simulation; generalization ability; heart; high resolution projection data; numerical phantom; open-source 4D statistical shape model; open-source simulation; reconstruction framework; surface meshes; training set variation; Biomedical imaging; Computational modeling; Computed tomography; Heart; Numerical models; Shape; Training; CT; Simulation; XCAT; cone-beam; numerical phantom; open-source;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference_Location :
New York, NY
Type :
conf
DOI :
10.1109/ISBI.2015.7163978
Filename :
7163978
Link To Document :
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