Literature DB >> 3595101

A FORTRAN program for deconvolution analysis using the matrix algorithm method with special reference to renography.

V Kempi.   

Abstract

A FORTRAN IV program is presented for deconvolution analysis using the matrix algorithm method. With the deconvolution technique retention functions are calculated from time-activity curve data representing both kidneys and blood background. The program computes for each kidney the minimum and maximum time of the retention function. It also calculates the initial amplitudes, absolute as well as relative, and the mean transit time of the retention functions. The design of the program allows for optional reviews of intermediate outputs at important stages. It also allows for the plotting of conventional time-activity curves of both kidneys corrected for blood background. Finally, the program plots the retention functions and some of their characteristics.

Mesh:

Year:  1987        PMID: 3595101     DOI: 10.1016/0169-2607(87)90021-6

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  4 in total

Review 1.  Neuroendocrinology and its quantitative development: a bioengineering view.

Authors:  Max E Valentinuzzi
Journal:  Biomed Eng Online       Date:  2010-11-04       Impact factor: 2.819

2.  Dynamic 2-deoxy-2[18F] fluoro-D-glucose PET/MRI in human renal allotransplant patients undergoing acute kidney injury.

Authors:  Sahra Pajenda; Sazan Rasul; Marcus Hacker; Ludwig Wagner; Barbara Katharina Geist
Journal:  Sci Rep       Date:  2020-05-19       Impact factor: 4.379

3.  Response evaluation of SGLT2 inhibitor therapy in patients with type 2 diabetes mellitus using 18F-FDG PET/MRI.

Authors:  Sazan Rasul; Barbara Katharina Geist; Helmut Brath; Pascal Baltzer; Lalith Kumar Shiyam Sundar; Verena Pichler; Markus Mitterhauser; Alexandra Kautzky-Willer; Marcus Hacker
Journal:  BMJ Open Diabetes Res Care       Date:  2020-03

4.  Deconvolution of Tc-99m-Mercaptoacetyltriglycine Renograms with the Concomitant Use of a Sparse Legendre Polynomial Representation and the Moore-Penrose Pseudo-inverse.

Authors:  Michel Destine; François-Xavier Hanin; Isabelle Mathieu; Bernard Willemart; Alain Seret
Journal:  Mol Imaging Radionucl Ther       Date:  2022-02-02
  4 in total

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