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Hongbin Guo
Assistant research professor
 
 Department of Mathematics and Statistics
Arizona State University

Building GWC, Room 668  
Phone: 480-965-8002

    Software  (under construction)

Total Least Squares with Tikhonov-like Regularization, demo

 Algorithm is coded in C++ and Matlab. For C++ code, the Lapack++, including BLAS, package is used.

Rosemary Renaut and Hongbin Guo, Efficient Algorithms for Solution of Regularized Total Least Squares. SIAM Journal on Matrix Analysis and Applications, 2005,26(2), 457-476.

Estimation of uT f(A)v for large-scale unsymmetric matrices

 C

  
Computing  The Traces of Functions of Matrices

 C

 
 FDG PET input function estimation,  demo with test data.

Estimation of the input function  for the brain study with FDG-PET is provided in Matlab code.  2-tissue compartmental model is assumed.   Three venous blood samples at later time (10,20,60 min) are needed. 

 H Guo, R Renaut and  K Chen, An input function estimation method for FDG-PET human brain studies, Nucl Med Biol. 2007, 34(5): 483-92.
 

PET data fast clustering,  demo

This a package of Matlab programs for functional clustering of PET data. Similarity is defined based on the dynamics (time activity curves). These algorithms are designed to accelerate the conventional hierarchical linkage methods.

H Guo, R Renaut, K Chen and E Reiman, Clustering Huge Data Sets for Parametric PET Imaging. Biosystems, 2003, 71, 1-2, 81-92 .

Parametric imaging by total variation, Matlab

 

H. Guo,   R. Renaut, K. Chen, E. Reiman. FDG-PET Parametric Imaging by Total Variation Minimization, Computerized Medical Imaging and Graphics, volume 33, issue 4, page 295-303, 2009.

  

 

rule

last update: 4/5/2008