2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:TP-L5.4
Session:Biomedical Imaging III: Tomography
Time:Tuesday, September 18, 15:30 - 15:50
Presentation: Lecture
Title: DYNAMIC IMAGE RECONSTRUCTION USING TEMPORALLY ADAPTIVE REGULARIZATION FOR EMISSION TOMOGRAPHY
Authors: Mingwu Jin; Illinois Institute of Technology 
 Yongyi Yang; Illinois Institute of Technology 
 Miles N. Wernick; Illinois Institute of Technology 
Abstract: Temporal basis functions have been found to be effective for regularizing the time-varying image activities in dynamic emission tomography. By modelling the tracer distribution function at individual pixels as a linear combination of a set of basis functions, the reconstruction problem becomes that of estimating the weights of the basis functions. In this work, we explore the use of temporally adaptive regularization in the basis function domain, where spatial smoothing is enforced in an adaptive fashion according to the time-varying data statistics. In our experiments the proposed method was demonstrated using simulated Tc99m-Teboroxime SPECT imaging with the gated mathematical cardiac-torso (gMCAT) phantom. Our results show that the proposed approach can lead to more accurate reconstruction of the time activities, which is important for differentiation between a perfusion defect and the normal myocardium.



©2016 Conference Management Services, Inc. -||- email: webmaster@icip2007.com -||- Last updated Friday, August 17, 2012