Sciweavers

Share
TITB
2008

A 3-D Active Shape Model Driven by Fuzzy Inference: Application to Cardiac CT and MR

8 years 8 months ago
A 3-D Active Shape Model Driven by Fuzzy Inference: Application to Cardiac CT and MR
Abstract--Manual quantitative analysis of cardiac left ventricular function using Multislice CT and MR is arduous because of the large data volume. In this paper, we present a 3-D active shape model (ASM) for semiautomatic segmentation of cardiac CT and MR volumes, without the requirement of retraining the underlying statistical shape model. A fuzzy c-means based fuzzy inference system was incorporated into the model. Thus, relative gray-level differences instead of absolute gray values were used for classification of 3-D regions of interest (ROIs), removing the necessity of training different models for different modalities/acquisition protocols. The 3-D ASM was evaluated using 25 CT and 15 MR datasets. Automatically generated contours were compared to expert contours in 100 locations. For CT, 82.4% of epicardial contours and 74.1% of endocardial contours had a maximum error of 5 mm along 95% of the contour arc length. For MR, those numbers were 93.2%
Hans C. van Assen, Mikhail G. Danilouchkine, M. S.
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where TITB
Authors Hans C. van Assen, Mikhail G. Danilouchkine, M. S. Dirksen, Johan H. C. Reiber, Boudewijn P. F. Lelieveldt
Comments (0)
books