Literature DB >> 25001895

Intra-vascular blood velocity and volumetric flow rate calculated from dynamic 4D CT angiography using a time of flight technique.

Joseph John Barfett1, Nivethan Velauthapillai, Jorn Fierstra, Adrian Crawley, Catherine Coolens, Andrew Crean, Jeff Jaskolka, Paul Dufort, Timo Krings, David Mikulis.   

Abstract

We examine a time of flight (TOF) approach for the analysis of contrast enhanced 4D volumetric CT angiography scans to derive and display blood velocity in arteries. Software was written to divide blood vessels into a series of cross sections and to track contrast bolus TOF along the central vessel axis, which was defined by a user, from 4D CT source data. Time density curves at each vessel cross section were fit with quadratic, Gaussian, and gamma variate functions to determine bolus time to peak (TTP). A straight line was used to plot TTP versus vessel path length for all three functions and the slope used to calculate intraluminal velocity. Software was validated in a simulated square channel and non-pulsatile flow phantom prior to the calculation of blood velocity in the major cerebral arteries of 8 normal patients. The TOF algorithm correctly calculates intra-luminal fluid velocity in eight flow conditions of the CT flow phantom where quadratic functions were used. Across all conditions, in phantoms and in vivo, the success of calculations depended strongly on having a sufficiently long path length to make measurements and avoiding venous contamination. Total blood flow into the brain was approximately 17 % of a normal 5 L cardiac output. The technique was explored in vivo in a patient with subclavian steal syndrome, in the pulmonary arteries and in the iliac artery from clinical 4D CT source data. Intravascular blood velocity and flow may be calculated from 4D CT angiography using a TOF approach.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25001895     DOI: 10.1007/s10554-014-0471-3

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  10 in total

1.  Comparison of methods for instantaneous angiographic blood flow measurement.

Authors:  S D Shpilfoygel; R Jahan; R A Close; G R Duckwiler; D J Valentino
Journal:  Med Phys       Date:  1999-06       Impact factor: 4.071

Review 2.  X-ray videodensitometric methods for blood flow and velocity measurement: a critical review of literature.

Authors:  S D Shpilfoygel; R A Close; D J Valentino; G R Duckwiler
Journal:  Med Phys       Date:  2000-09       Impact factor: 4.071

3.  CT angiographic measurement of vascular blood flow velocity by using projection data.

Authors:  Sven Prevrhal; Carlos H Forsythe; Roy J Harnish; Maythem Saeed; Benjamin M Yeh
Journal:  Radiology       Date:  2011-10-03       Impact factor: 11.105

4.  Blood velocity calculated from volumetric dynamic computed tomography angiography.

Authors:  Joe J Barfett; Jorn Fierstra; David J Mikulis; Timo Krings
Journal:  Invest Radiol       Date:  2010-12       Impact factor: 6.016

5.  Intravascular functional maps of common neurovascular lesions derived from volumetric 4D CT data.

Authors:  Joe J Barfett; Jorn Fierstra; Peter W A Willems; David J Mikulis; Timo Krings
Journal:  Invest Radiol       Date:  2010-07       Impact factor: 6.016

6.  Clinical application of 320-row multidetector computed tomography for a dynamic three-dimensional vascular study: imaging findings and initial experience.

Authors:  Shogo Nagamatsu; Masahiro Nakagawa; Shuji Kayano; Takuya Koizumi; Satoshi Akazawa; Tetsuro Onitsuka; Yoshiyuki Iida; Masahiro Endo; Yoshihiro Nakaya; Atsushi Urikura
Journal:  J Plast Reconstr Aesthet Surg       Date:  2010-04-15       Impact factor: 2.740

7.  Dynamic CT angiography and CT perfusion employing a 320-detector row CT: protocol and current clinical applications.

Authors:  Eric J Salomon; Joe Barfett; Peter W A Willems; Sasikhan Geibprasert; Susanna Bacigaluppi; Timo Krings
Journal:  Klin Neuroradiol       Date:  2009-08-23

8.  Regional cerebral blood flow using quantitative MR angiography.

Authors:  M Zhao; S Amin-Hanjani; S Ruland; A P Curcio; L Ostergren; F T Charbel
Journal:  AJNR Am J Neuroradiol       Date:  2007-09       Impact factor: 3.825

9.  Detection and classification of cranial dural arteriovenous fistulas using 4D-CT angiography: initial experience.

Authors:  P W A Willems; P A Brouwer; J J Barfett; K G terBrugge; T Krings
Journal:  AJNR Am J Neuroradiol       Date:  2010-10-21       Impact factor: 3.825

10.  4-D Imaging in cerebrovascular disorders by using 320-slice CT: feasibility and preliminary clinical experience.

Authors:  Randolf Klingebiel; Eberhard Siebert; Susanne Diekmann; Edzard Wiener; Florian Masuhr; Moritz Wagner; Hans-Christian Bauknecht; Marc Dewey; G Bohner
Journal:  Acad Radiol       Date:  2009-02       Impact factor: 3.173

  10 in total
  4 in total

Review 1.  Cardiovascular imaging 2014 in the International Journal of Cardiovascular Imaging.

Authors: 
Journal:  Int J Cardiovasc Imaging       Date:  2015-03       Impact factor: 2.357

2.  Determination of renal function and injury using near-infrared fluorimetry in experimental cardiorenal syndrome.

Authors:  Mizuko Ikeda; Rumie Wakasaki; Katie J Schenning; Thomas Swide; Jeong Heon Lee; M Bernie Miller; Hak Soo Choi; Sharon Anderson; Michael P Hutchens
Journal:  Am J Physiol Renal Physiol       Date:  2017-01-11

3.  A Noninvasive Assessment of Flow Based on Contrast Dispersion in Computed Tomography Angiography: A Computational and Experimental Phantom Study.

Authors:  Parastou Eslami; Jung-Hee Seo; Amir Ali Rahsepar; Asim Shafique; Shirley F Rollison; Albert C Lardo; Rajat Mittal; Marcus Y Chen
Journal:  J Biomech Eng       Date:  2022-09-01       Impact factor: 1.899

4.  Angiographic Pulse Wave Coherence in the Human Brain.

Authors:  Matthew J Koch; Phan Q Duy; Benjamin L Grannan; Aman B Patel; Scott B Raymond; Pankaj K Agarwalla; Kristopher T Kahle; William E Butler
Journal:  Front Bioeng Biotechnol       Date:  2022-05-03
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.