SLICR super-voxel algorithm for fast, robust quantification of myocardial blood flow by dynamic computed tomography myocardial perfusion imaging-Reference-Cited by-同舟云学术

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SLICR super-voxel algorithm for fast, robust quantification of myocardial blood flow by dynamic computed tomography myocardial perfusion imaging

Published:2019-11-06 Issue:04 Volume:6 Page:1
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Wu Hao¹,Eck Brendan L.¹,Levi Jacob²,Fares Anas³,Li Yuemeng¹,Wen Di¹,Bezerra Hiram G.³,Muzic Raymond F.¹,Wilson David L.¹

Affiliation:

1. Case Western Reserve University, Department of Biomedical Engineering, Cleveland, Ohio

2. Case Western Reserve University, Department of Physics, Cleveland, Ohio

3. University Hospitals Cleveland Medical Center, Harrington Heart and Vascular Institute, Cardiovascul

Funder

National Heart, Lung, and Blood Institute

National Institutes of Health

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

Reference38 articles.

1. Incremental Diagnostic Value of Regional Myocardial Blood Flow Quantification Over Relative Perfusion Imaging With Generator-Produced Rubidium-82 PET

2. Diagnostic value of quantitative coronary flow reserve and myocardial blood flow estimated by dynamic 320 MDCT scanning in patients with obstructive coronary artery disease

3. Clinical Value of Absolute Quantification of Myocardial Perfusion With 15 O-Water in Coronary Artery Disease

4. Absolute flow or myocardial flow reserve for the detection of significant coronary artery disease?

5. Functional CT: physiological models

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2. Comparison of automated beam hardening correction (ABHC) algorithms for myocardial perfusion imaging using computed tomography;Medical Physics;2020-12-07

3. Improvement of image quality on low-dose dynamic myocardial perfusion computed tomography with a novel 4-dimensional similarity filter;Medicine;2020-06-26

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