Literature DB >> 20332374

A method for reconstructing the arterial input function during helical CT: implications for myocardial perfusion distribution imaging.

Richard T George1, Takashi Ichihara, João A C Lima, Albert C Lardo.   

Abstract

PURPOSE: To determine if a multidetector computed tomographic (CT) image acquisition and analysis method can enable accurate measurement of the arterial input function (AIF) during first-pass adenosine stress helical multidetector CT angiography and to test the effect of using this method on the semiquantitative assessment of myocardial perfusion distribution.
MATERIALS AND METHODS: The animal care and use committee of Johns Hopkins University approved the use of all procedures. The AIF was reconstructed by using a combination of bolus-tracking and time-registered helical multidetector CT data. After the AIF reconstruction method was validated in healthy animals, coronary stenosis was induced in seven dogs and contrast material-enhanced multidetector CT was performed during adenosine infusion (0.14-0.21 mg per kilogram of body weight per minute). Myocardial attenuation density (AD) parameters normalized to portions of the AIF were compared with microsphere myocardial blood flow (MBF) measurements at linear regression analysis.
RESULTS: There was no significant difference between the area under the curve (AUC) for dynamic multidetector CT-derived AIF (3108 + or - 1250 [standard deviation]) and that for combined bolus-tracking and time-registered multidetector helical CT-derived AIF (3086 + or - 941) (P = .90). When AIF analysis was applied to helical multidetector CT myocardial perfusion measurements, the correlation between MBF and mean myocardial AD normalized to the AUC for the entire AIF was significant (R(2) = 0.82, P <.001). Myocardial AD normalized to the AUC for the AIF measured during helical multidetector CT correlated best with MBF (R(2) = 0.86, P <.001).
CONCLUSION: The combination of bolus tracking and time-registered helical imaging enables reconstruction of the AIF during multidetector CT perfusion imaging. The helical CT AIF can be used to improve the semiquantitative assessment of myocardial perfusion distribution.

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Year:  2010        PMID: 20332374     DOI: 10.1148/radiol.10081121

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  15 in total

1.  Diagnostic performance of combined noninvasive coronary angiography and myocardial perfusion imaging using 320 row detector computed tomography: design and implementation of the CORE320 multicenter, multinational diagnostic study.

Authors:  Andrea L Vavere; Gregory G Simon; Richard T George; Carlos E Rochitte; Andrew E Arai; Julie M Miller; Marcello Di Carli; Armin Arbab-Zadeh; Armin A Zadeh; Marc Dewey; Hiroyuki Niinuma; Roger Laham; Frank J Rybicki; Joanne D Schuijf; Narinder Paul; John Hoe; Sachio Kuribyashi; Hajime Sakuma; Cesar Nomura; Tan Swee Yaw; Klaus F Kofoed; Kunihiro Yoshioka; Melvin E Clouse; Jeffrey Brinker; Christopher Cox; Joao A C Lima
Journal:  J Cardiovasc Comput Tomogr       Date:  2011-11-12

2.  Automatic model-based contour detection of left ventricle myocardium from cardiac CT images.

Authors:  Takamasa Sugiura; Tomoyuki Takeguchi; Yukinobu Sakata; Shuhei Nitta; Tomoya Okazaki; Nobuyuki Matsumoto; Yasuko Fujisawa
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-05-01       Impact factor: 2.924

3.  Coronary flow reserve by CT perfusion.

Authors:  Richard T George; Frank M Bengel; Albert C Lardo
Journal:  J Nucl Cardiol       Date:  2010-08       Impact factor: 5.952

Review 4.  Assessment of coronary blood flow with computed tomography and magnetic resonance imaging.

Authors:  Karl H Schuleri; Richard T George; Albert C Lardo
Journal:  J Nucl Cardiol       Date:  2010-08       Impact factor: 5.952

Review 5.  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

Review 6.  CT-based myocardial perfusion imaging-practical considerations: acquisition, image analysis, interpretation, and challenges.

Authors:  Vishal C Mehra; Marietta Ambrose; Carolina Valdiviezo-Schlomp; Karl H Schuleri; Albert C Lardo; Joao A C Lima; Richard T George
Journal:  J Cardiovasc Transl Res       Date:  2011-06-14       Impact factor: 4.132

7.  A new redundancy weighting scheme for nonstationary data for computed tomography.

Authors:  Katsuyuki Taguchi; Jochen Cammin
Journal:  Med Phys       Date:  2015-05       Impact factor: 4.071

8.  Diagnostic performance of combined noninvasive coronary angiography and myocardial perfusion imaging using 320-MDCT: the CT angiography and perfusion methods of the CORE320 multicenter multinational diagnostic study.

Authors:  Richard T George; Armin Arbab-Zadeh; Rodrigo J Cerci; Andrea L Vavere; Kakuya Kitagawa; Marc Dewey; Carlos E Rochitte; Andrew E Arai; Narinder Paul; Frank J Rybicki; Albert C Lardo; Melvin E Clouse; Joao A C Lima
Journal:  AJR Am J Roentgenol       Date:  2011-10       Impact factor: 3.959

9.  Flow Dynamics in the Aortic Arch and Its Effect on the Arterial Input Function in Cardiac Computed Tomography.

Authors:  Parastou Eslami; Jung-Hee Seo; Albert C Lardo; Marcus Y Chen; Rajat Mittal
Journal:  J Biomech Eng       Date:  2019-03-06       Impact factor: 2.097

Review 10.  CT perfusion: ready for prime time.

Authors:  Marietta S Ambrose; Carolina Valdiviezo; Vishal Mehra; Albert C Lardo; Joao A C Lima; Richard T George
Journal:  Curr Cardiol Rep       Date:  2011-02       Impact factor: 2.931

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