Literature DB >> 2036562

Measurement of tissue perfusion by dynamic computed tomography.

K A Miles1.   

Abstract

A method for quantifying tissue perfusion by dynamic computed tomography (CT) is described. By applying a nuclear medicine data processing technique to time-density data from a single-location dynamic CT sequence, tissue perfusion can be determined from the maximum gradient of the tissue time-density curve divided by the peak enhancement of the aorta. Using this method, splenic perfusion was measured at 1.2 ml min-1 ml-1, normal renal cortical perfusion at 2.5 ml min-1 ml-1 and normal renal medullary perfusion at 1.1 ml min-1 ml-1. Changes in cortical and medullary perfusion in renal failure and hypertension were demonstrated. The ability of dynamic CT to provide quantitative functional information is not well recognized and is potentially of value when studying structures, such as the renal cortex and medulla, that cannot be anatomically resolved by standard functional imaging techniques.

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Year:  1991        PMID: 2036562     DOI: 10.1259/0007-1285-64-761-409

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  66 in total

1.  Simulation Evaluation of Quantitative Myocardial Perfusion Assessment from Cardiac CT.

Authors:  Michael Bindschadler; Dimple Modgil; Kelley R Branch; Patrick J La Riviere; Adam M Alessio
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-19

2.  Repeatability of renal arterial spin labelling MRI in healthy subjects.

Authors:  Marica Cutajar; David L Thomas; Tina Banks; Christopher A Clark; Xavier Golay; Isky Gordon
Journal:  MAGMA       Date:  2012-01-13       Impact factor: 2.310

3.  Estimation of tissue perfusion by dynamic contrast-enhanced imaging: simulation-based evaluation of the steepest slope method.

Authors:  Gunnar Brix; Stefan Zwick; Jürgen Griebel; Christian Fink; Fabian Kiessling
Journal:  Eur Radiol       Date:  2010-04-21       Impact factor: 5.315

4.  Evaluation of flow measurement from the first pass bolus T1 weighted images using inversion recovery sequence.

Authors:  M Nazarpoor
Journal:  Br J Radiol       Date:  2010-10-19       Impact factor: 3.039

Review 5.  Tracer kinetic modelling of tumour angiogenesis based on dynamic contrast-enhanced CT and MRI measurements.

Authors:  Gunnar Brix; Jürgen Griebel; Fabian Kiessling; Frederik Wenz
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-08       Impact factor: 9.236

6.  An en bloc approach to CT perfusion for the evaluation of limb ischemia.

Authors:  Joe Barfett; Nivethan Velauthapillai; Christian Kloeters; David J Mikulis; Jeffrey D Jaskolka
Journal:  Int J Cardiovasc Imaging       Date:  2012-12       Impact factor: 2.357

Review 7.  CT perfusion cerebral blood flow imaging in neurological critical care.

Authors:  Mark R Harrigan; Jody Leonardo; Kevin J Gibbons; Lee R Guterman; L Nelson Hopkins
Journal:  Neurocrit Care       Date:  2005       Impact factor: 3.210

8.  Quantitative tissue blood flow measurement of the liver parenchyma: comparison between xenon CT and perfusion CT.

Authors:  Kazuhiko Hashimoto; Takamichi Murakami; Keizo Dono; Masatoshi Hori; Tonsok Kim; Masayuki Kudo; Shigeru Marubashi; Atsushi Miyamoto; Yutaka Takeda; Hiroaki Nagano; Koji Umeshita; Hironobu Nakamura; Morito Monden
Journal:  Dig Dis Sci       Date:  2007-02-23       Impact factor: 3.199

9.  Factors affecting the quantitative liver-spleen scan in normal individuals.

Authors:  John C Hoefs; Muhammad Y Sheikh; Heather Guerrero; Norah Milne
Journal:  Dig Dis Sci       Date:  2005-02       Impact factor: 3.199

10.  The use of perfusion CT for the evaluation of therapy combining AZD2171 with gefitinib in cancer patients.

Authors:  Martijn R Meijerink; Hester van Cruijsen; Klaas Hoekman; Matthijs Kater; Cors van Schaik; Jan Hein T M van Waesberghe; Giuseppe Giaccone; Radu A Manoliu
Journal:  Eur Radiol       Date:  2006-10-27       Impact factor: 5.315

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