Title :
Content-adaptive mesh modeling for fully-3D tomographic image reconstruction
Author :
Yang, Yongyi ; Brankov, Jovan G. ; Wernick, Miles N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Abstract :
We propose the use of a content-adaptive volumetric mesh model for fully three-dimensional (3D) tomographic image reconstruction. In the proposed framework, the image to be reconstructed is first modeled by an efficient mesh representation. The image is then obtained through estimation of the nodal values from the measured data. The use of a mesh representation can alleviate the ill-posed nature of the reconstruction problem, thereby leading to improved quality in the reconstructed images. In addition, it reduces the data storage requirement, resulting in efficient algorithms. The proposed methods are tested using gated cardiac-perfusion images. Initial results demonstrate that the proposed approach achieves good performance when compared to several commonly used methods for image reconstruction, and produces results very rapidly.
Keywords :
cardiology; haemorheology; image reconstruction; medical image processing; mesh generation; solid modelling; tomography; 3D tomographic image reconstruction; content-adaptive mesh modeling; data storage requirement; gated cardiac-perfusion images; ill-posed problem; image quality; volumetric mesh model; Bayesian methods; Image reconstruction; Image representation; Image sequences; Interpolation; Memory; Reconstruction algorithms; Surface reconstruction; Testing; Tomography;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1040027