Multi-modality tomographic image reconstruction using mesh modeling

In this paper we investigate a mesh-modeling approach for multi-modality image reconstruction. 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.

• Type: Conference
• Year: 2002
• Where: ISBI
• Authors: Jovan G. Brankov, Yongyi Yang, Richard M. Leahy, Miles N. Wernick
• Keywords: Anatomical Mr Image, ISBI 2002, Medical Imaging, Multi-modality Image Reconstruction, Multi-modality Pet Reconstruction