Literature DB >> 6832937

Tissue mean transit time from dynamic computed tomography by a simple deconvolution technique.

L Axel.   

Abstract

In order to calculate the mean transit time of tissue, such as brain, from dynamic computed tomography performed after a bolus injection of intravenous contrast material, the time dependence of the input of contrast material to the tissue must be "deconvolved" from the observed time course of the tissue contrast enhancement. If the approximate shape of the curve of the response of the tissue to an instantaneous injection of contrast material is assumed, the width of this curve that gives the best fit to the observed tissue response can be used to find a value for the tissue mean transit time. Applying this technique to dynamic CT scans of two normal volunteers yielded values comparable to those in the literature by other techniques. The method has the advantages of being simple to implement, relatively insensitive to noise and the details of the assumed curve shape, and not requiring any curve fitting to correct for recirculation.

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Substances:

Year:  1983        PMID: 6832937     DOI: 10.1097/00004424-198301000-00018

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  68 in total

1.  Validation of in vivo magnetic resonance imaging blood-brain barrier permeability measurements by comparison with gold standard histology.

Authors:  Angelika Hoffmann; Jörg Bredno; Michael F Wendland; Nikita Derugin; Jason Hom; Tibor Schuster; Hua Su; Peter T Ohara; William L Young; Max Wintermark
Journal:  Stroke       Date:  2011-06-02       Impact factor: 7.914

2.  Quantitative cerebral blood flow measurement with dynamic perfusion CT using the vascular-pixel elimination method: comparison with H2(15)O positron emission tomography.

Authors:  Kohsuke Kudo; Satoshi Terae; Chietsugu Katoh; Masaki Oka; Tohru Shiga; Nagara Tamaki; Kazuo Miyasaka
Journal:  AJNR Am J Neuroradiol       Date:  2003-03       Impact factor: 3.825

3.  Delay correction for the assessment of blood-brain barrier permeability using first-pass dynamic perfusion CT.

Authors:  T Schneider; J Hom; J Bredno; J W Dankbaar; S-C Cheng; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2010-06-10       Impact factor: 3.825

4.  Right and left ventricular myocardial perfusion reserves correlate with right ventricular function and pulmonary hemodynamics in patients with pulmonary arterial hypertension.

Authors:  Jens Vogel-Claussen; Jan Skrok; Monda L Shehata; Sukhminder Singh; Christopher T Sibley; Danielle M Boyce; Noah Lechtzin; Reda E Girgis; Steven C Mathai; Thomas A Goldstein; Jie Zheng; João A C Lima; David A Bluemke; Paul M Hassoun
Journal:  Radiology       Date:  2010-10-22       Impact factor: 11.105

5.  In vitro measurements of flow using multislice computed tomography (MSCT).

Authors:  Klaus Lackner; Henning Bovenschulte; Hartmut Stützer; Thomas Just; Hassan Al-Hassani; Barbara Krug
Journal:  Int J Cardiovasc Imaging       Date:  2010-10-24       Impact factor: 2.357

6.  Long-term preservation of myocardial energetic in chronic hibernating myocardium.

Authors:  Mohammad Nurulqadr Jameel; Qinglu Li; Abdul Mansoor; Qiang Xiong; Cory Swingen; Jianyi Zhang
Journal:  Am J Physiol Heart Circ Physiol       Date:  2010-12-03       Impact factor: 4.733

Review 7.  Quantitative and qualitative analysis and interpretation of CT perfusion imaging.

Authors:  Carolina Valdiviezo; Marietta Ambrose; Vishal Mehra; Albert C Lardo; Joao A C Lima; Richard T George
Journal:  J Nucl Cardiol       Date:  2010-12       Impact factor: 5.952

8.  Cerebral perfusion computerized tomography: influence of reference vessels, regions of interest and interobserver variability.

Authors:  Jean F Soustiel; Nadav Mor; Menashe Zaaroor; Dorith Goldsher
Journal:  Neuroradiology       Date:  2006-05-23       Impact factor: 2.804

9.  MRI blood-brain barrier permeability measurements to predict hemorrhagic transformation in a rat model of ischemic stroke.

Authors:  Angelika Hoffmann; Jörg Bredno; Michael F Wendland; Nikita Derugin; Jason Hom; Tibor Schuster; Claus Zimmer; Hua Su; Peter T Ohara; William L Young; Max Wintermark
Journal:  Transl Stroke Res       Date:  2012-09-16       Impact factor: 6.829

10.  Diagnostic accuracy of stress perfusion CMR in comparison with quantitative coronary angiography: fully quantitative, semiquantitative, and qualitative assessment.

Authors:  Federico E Mordini; Tariq Haddad; Li-Yueh Hsu; Peter Kellman; Tracy B Lowrey; Anthony H Aletras; W Patricia Bandettini; Andrew E Arai
Journal:  JACC Cardiovasc Imaging       Date:  2014-01
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