Multi-modality tomographic image reconstruction using mesh modeling

Author

Brankov, Jovan G. ; Yang, Yongyi ; Leahy, Richard M. ; Wernick, Miles N.

Author_Institution

Illinois Inst. of Technol., Chicago, IL, USA

fYear

2002

fDate

2002

Firstpage

405

Lastpage

408

Abstract

In the proposed approach a mesh model uses information obtained from an anatomical MR image to aid in reconstruction of PET images. The aim is to improve spatial resolution and quantitative accuracy of the PET image by using anatomical boundary information from the MR image. The mesh approach accomplishes this by using spatially adaptive spatial sampling and smoothing in the PET reconstruction. Our preliminary results demonstrate that this mesh-based approach to multi-modality PET reconstruction can achieve good results at low computational cost.

Keywords

adaptive signal processing; biomedical MRI; brain models; image reconstruction; image resolution; image sampling; image segmentation; maximum likelihood estimation; medical image processing; mesh generation; positron emission tomography; sensor fusion; smoothing methods; MAP estimate; MESH MAP-W method; PET image reconstruction; anatomical MR image; anatomical boundary information; low computational cost; mesh modeling; multi-modality tomographic image reconstruction; quantitative accuracy; smoothing; spatial resolution; spatially adaptive spatial sampling; Computational efficiency; Image reconstruction; Image representation; Image sampling; Interpolation; Magnetic resonance; Pixel; Positron emission tomography; Smoothing methods; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on

Print_ISBN

0-7803-7584-X

Type

conf

DOI

10.1109/ISBI.2002.1029280

Filename

1029280