Using anatomical knowledge expressed as fuzzy constraints to segment the heart in CT images
Authors:
- A. MorenoAMA. Moreno
- C.M. TakemuraCTC.M. Takemura
- O. ColliotOCO. Colliot
- O. CamaraOCO. Camara
- I. BlochIBI. Bloch
- 1 August 2008
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 41 (8) , 2525-2540
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Automatic Segmentation of the Left Ventricle in Cardiac MR and CT ImagesInternational Journal of Computer Vision, 2006
- Graph Cuts and Efficient N-D Image SegmentationInternational Journal of Computer Vision, 2006
- Automatic segmentation of the left ventricle cavity and myocardium in MRI dataComputers in Biology and Medicine, 2006
- SPASM: A 3D-ASM for segmentation of sparse and arbitrarily oriented cardiac MRI dataMedical Image Analysis, 2006
- STACS: new active contour scheme for cardiac MR image segmentationIEEE Transactions on Medical Imaging, 2005
- Towards automatic full heart segmentation in computed-tomography images2005
- Computational modeling of thoracic and abdominal anatomy using spatial relationships for image segmentationReal-Time Imaging, 2004
- Computer Vision, Pattern Recognition and Image Processing in Left Ventricle Segmentation: The Last 50 YearsPattern Analysis and Applications, 2000
- Anatomical model matching with fuzzy implicit surfaces for segmentation of thoracic volume scansIEEE Transactions on Medical Imaging, 1999
- A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to cardiac 4D image analysisComputerized Medical Imaging and Graphics, 1995