Left ventricular boundary detection from spatio-temporal volumetric computed tomography images

This paper presents a new automatic technique for left ventricle boundary detection from a set of three-dimensional (3D) computed tomography (CT) volumetric cardiac images. The goals of this paper are to incorporate the temporal information into LV boundary detection, to link the shape modeling and...

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Bibliographic Details
Published in:Computerized medical imaging and graphics 1995, Vol.19 (1), p.27-46
Main Authors: Tu, Hsiao-Kun, Matheny, Arthur, Goldgof, Dmitry B., Bunke, Horst
Format: Article
Language:English
Subjects:
Algorithms
Animals
Arrhythmias, Cardiac - diagnostic imaging
Arrhythmias, Cardiac - etiology
Atrial Fibrillation - complications
Cardiac Volume
Computed tomography
Dogs
Fuzzy Logic
Heart Ventricles - anatomy & histology
Heart Ventricles - diagnostic imaging
Image Processing, Computer-Assisted
Iterative model-based boundary refinement
Left ventricle (LV) boundary detection
Models, Cardiovascular
Spatio-temporal boundary detection
Spherical harmonics
Tomography, X-Ray Computed
Ventricular Dysfunction, Left - diagnostic imaging
Ventricular Function, Left
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Summary:This paper presents a new automatic technique for left ventricle boundary detection from a set of three-dimensional (3D) computed tomography (CT) volumetric cardiac images. The goals of this paper are to incorporate the temporal information into LV boundary detection, to link the shape modeling and LV boundary detection together, and to provide a compact representation of recovered LV boundaries to cardiac imaging. The proposed technique introduces spatio-temporal boundary detection and iterative model-based boundary refinement to left ventricular boundary extraction. The proposed technique has been applied to two sets of four-dimensional (4D) computed tomography images. Experimental results are compared with the manually edited images.
ISSN:0895-6111
1879-0771
DOI:10.1016/0895-6111(94)00033-6