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Titolo:
A DYNAMIC FINITE-ELEMENT SURFACE MODEL FOR SEGMENTATION AND TRACKING IN MULTIDIMENSIONAL MEDICAL IMAGES WITH APPLICATION TO CARDIAC 4D IMAGE-ANALYSIS
Autore:
MCINERNEY T; TERZOPOULOS D;
Indirizzi:
UNIV TORONTO,DEPT COMP SCI TORONTO ON M5S 1A4 CANADA
Titolo Testata:
Computerized medical imaging and graphics
fascicolo: 1, volume: 19, anno: 1995,
pagine: 69 - 83
SICI:
0895-6111(1995)19:1<69:ADFSMF>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Keywords:
3D/4D MEDICAL IMAGE ANALYSIS; DEFORMABLE MODELS; FINITE ELEMENTS; DYNAMICS; CARDIAC LV SEGMENTATION; NONRIGID MOTION TRACKING; VISUALIZATION; INTERACTION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
NO
Recensione:
Indirizzi per estratti:
Citazione:
T. Mcinerney e D. Terzopoulos, "A DYNAMIC FINITE-ELEMENT SURFACE MODEL FOR SEGMENTATION AND TRACKING IN MULTIDIMENSIONAL MEDICAL IMAGES WITH APPLICATION TO CARDIAC 4D IMAGE-ANALYSIS", Computerized medical imaging and graphics, 19(1), 1995, pp. 69-83

Abstract

This paper presents a physics-based approach to anatomical surface segmentation, reconstruction, and tracking in multidimensional medical images. The approach makes use of a dynamic ''balloon'' model-a spherical thin-plate under tension surface spline which deforms elastically to fit the image data. The fitting process is mediated by internal forces stemming from the elastic properties of the spline and external forces which are produced from the data. The forces interact in accordance with Lagrangian equations of motion that adjust the model's deformational degrees of freedom to fit the data. We employ the finite elementmethod to represent the continuous surface in the form of weighted sums of local polynomial basis functions. We use a quintic triangular finite element whose nodal variables include positions as well as the first and second partial derivatives of the surface. We describe a system, implemented on a high performance graphics workstation, which applies the model fitting technique to the segmentation of the cardiac LV surface in volume (3D) CT images and LV tracking in dynamic volume (4D)CT images to estimate its nonrigid motion over the cardiac cycle. Thesystem features a graphical user interface which minimizes error by affording specialist users interactive control over the dynamic model fitting process.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/03/20 alle ore 15:06:50