Automated estimation of image quality for coronary computed tomographic angiography using machine learning

European Radiology ◽

10.1007/s00330-018-5348-8 ◽

2018 ◽

Vol 28 (9) ◽

pp. 4018-4026 ◽

Author(s):

Rine Nakanishi ◽

Sethuraman Sankaran ◽

Leo Grady ◽

Jenifer Malpeso ◽

Razik Yousfi ◽

...

Keyword(s):

Machine Learning ◽

Image Quality ◽

Computed Tomographic Angiography ◽

Coronary Computed Tomographic Angiography ◽

Computed Tomographic ◽

Tomographic Angiography

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Effect of iDose4 Iterative Reconstruction Algorithm on Image Quality and Radiation Exposure in Prospective and Retrospective Electrocardiographically Gated Coronary Computed Tomographic Angiography

Journal of Computer Assisted Tomography ◽

10.1097/rct.0000000000000137 ◽

2014 ◽

Vol 38 (6) ◽

pp. 956-962 ◽

Author(s):

Sofia D. Kordolaimi ◽

Stylianos Argentos ◽

Maria Mademli ◽

George Stathis ◽

Ioannis Pantos ◽

...

Keyword(s):

Image Quality ◽

Radiation Exposure ◽

Iterative Reconstruction ◽

Reconstruction Algorithm ◽

Computed Tomographic Angiography ◽

Coronary Computed Tomographic Angiography ◽

Computed Tomographic ◽

Iterative Reconstruction Algorithm ◽

Tomographic Angiography

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86: Image Quality of Coronary Computed Tomographic Angiography in 320-row Area Detector Computed Tomography

Journal of Cardiovascular Computed Tomography ◽

10.1016/j.jcct.2008.06.107 ◽

2008 ◽

Vol 2 (4) ◽

pp. S31

Keyword(s):

Computed Tomography ◽

Image Quality ◽

Computed Tomographic Angiography ◽

Coronary Computed Tomographic Angiography ◽

Computed Tomographic ◽

Area Detector ◽

Tomographic Angiography

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Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve

Circulation Cardiovascular Imaging ◽

10.1161/circimaging.117.007217 ◽

2018 ◽

Vol 11 (6) ◽

Author(s):

Adriaan Coenen ◽

Young-Hak Kim ◽

Mariusz Kruk ◽

Christian Tesche ◽

Jakob De Geer ◽

...

Keyword(s):

Machine Learning ◽

Diagnostic Accuracy ◽

Computed Tomographic Angiography ◽

Learning Approach ◽

Fractional Flow ◽

Coronary Computed Tomographic Angiography ◽

Computed Tomographic ◽

Flow Reserve ◽

Machine Learning Approach ◽

Tomographic Angiography

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256-Slice coronary computed tomographic angiography in patients with atrial fibrillation: optimal reconstruction phase and image quality

European Radiology ◽

10.1007/s00330-015-3822-0 ◽

2015 ◽

Vol 26 (1) ◽

pp. 55-63 ◽

Author(s):

Seitaro Oda ◽

Keiichi Honda ◽

Akira Yoshimura ◽

Kazuhiro Katahira ◽

Katsuo Noda ◽

...

Keyword(s):

Atrial Fibrillation ◽

Image Quality ◽

Computed Tomographic Angiography ◽

Coronary Computed Tomographic Angiography ◽

Computed Tomographic ◽

Optimal Reconstruction ◽

Tomographic Angiography

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Heart-rate dependent improvement in image quality and diagnostic accuracy of coronary computed tomographic angiography by novel intracycle motion correction algorithm

Clinical Imaging ◽

10.1016/j.clinimag.2014.11.020 ◽

2015 ◽

Vol 39 (3) ◽

pp. 421-426 ◽

Author(s):

Iksung Cho ◽

Kimberly Elmore ◽

Bríain ó Hartaigh ◽

Josh Schulman-Marcus ◽

Heidi Granser ◽

...

Keyword(s):

Image Quality ◽

Diagnostic Accuracy ◽

Motion Correction ◽

Computed Tomographic Angiography ◽

Correction Algorithm ◽

Coronary Computed Tomographic Angiography ◽

Computed Tomographic ◽

Rate Dependent ◽

Tomographic Angiography

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A NOVEL ENSEMBLE MACHINE LEARNING-BASED METHOD VERSUS CLINICAL RISK SCORING FOR DISCRIMINATION OF INDIVIDUALS WHO WILL VERSUS WILL NOT EXPERIENCE ACUTE CORONARY SYNDROME AFTER CORONARY COMPUTED TOMOGRAPHIC ANGIOGRAPHY: RESULTS FROM THE ICONIC STUDY

Journal of the American College of Cardiology ◽

10.1016/s0735-1097(18)32169-7 ◽

2018 ◽

Vol 71 (11) ◽

pp. A1628

Author(s):

Subhi Al’Aref ◽

Gabriel Maliakal ◽

Michael Cheng ◽

Kranthi Kolli ◽

Gurpreet Singh ◽

...

Keyword(s):

Machine Learning ◽

Acute Coronary Syndrome ◽

Computed Tomographic Angiography ◽

Coronary Computed Tomographic Angiography ◽

Computed Tomographic ◽

Coronary Syndrome ◽

Clinical Risk ◽

Ensemble Machine Learning ◽

Risk Scoring ◽

Tomographic Angiography

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Current and Future Post-Processing and Reconstruction Methods for Improved Image Quality in Coronary Computed Tomographic Angiography

Current Cardiovascular Imaging Reports ◽

10.1007/s12410-012-9151-7 ◽

2012 ◽

Vol 5 (5) ◽

pp. 360-366

Author(s):

Ryo Nakazato ◽

Damini Dey ◽

Troy M. LaBounty

Keyword(s):

Image Quality ◽

Computed Tomographic Angiography ◽

Post Processing ◽

Coronary Computed Tomographic Angiography ◽

Computed Tomographic ◽

Reconstruction Methods ◽

Tomographic Angiography

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Comparison of Image Quality and Radiation Dose of Coronary Computed Tomographic Angiography Between Conventional Helical Scanning and a Strategy Incorporating Sequential Scanning

The American Journal of Cardiology ◽

10.1016/j.amjcard.2009.07.003 ◽

2009 ◽

Vol 104 (10) ◽

pp. 1343-1350 ◽

Author(s):

Andrew J. Einstein ◽

Steven D. Wolff ◽

Eric D. Manheimer ◽

James Thompson ◽

Sylvia Terry ◽

...

Keyword(s):

Image Quality ◽

Radiation Dose ◽

Computed Tomographic Angiography ◽

Coronary Computed Tomographic Angiography ◽

Computed Tomographic ◽

Tomographic Angiography ◽

Sequential Scanning

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Effect of Increasing Body Mass Index on Image Quality and Positive Predictive Value of 100-kV Coronary Computed Tomographic Angiography

The American Journal of Cardiology ◽

10.1016/j.amjcard.2010.06.032 ◽

2010 ◽

Vol 106 (8) ◽

pp. 1182-1186 ◽

Author(s):

John S. Ho ◽

Carolyn E. Barlow ◽

Dale B. Reinhardt ◽

Wendy A. Wade ◽

John J. Cannaday

Keyword(s):

Body Mass Index ◽

Image Quality ◽

Positive Predictive Value ◽

Body Mass ◽

Predictive Value ◽

Computed Tomographic Angiography ◽

Coronary Computed Tomographic Angiography ◽

Computed Tomographic ◽

Tomographic Angiography

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Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve Based on Machine Learning for Risk Stratification of Non-Culprit Coronary Narrowings in Patients with Acute Coronary Syndrome

The American Journal of Cardiology ◽

10.1016/j.amjcard.2017.07.008 ◽

2017 ◽

Vol 120 (8) ◽

pp. 1260-1266 ◽

Author(s):

Taylor M. Duguay ◽

Christian Tesche ◽

Rozemarijn Vliegenthart ◽

Carlo N. De Cecco ◽

Han Lin ◽

...

Keyword(s):

Machine Learning ◽

Acute Coronary Syndrome ◽

Risk Stratification ◽

Computed Tomographic Angiography ◽

Fractional Flow ◽

Coronary Computed Tomographic Angiography ◽

Computed Tomographic ◽

Coronary Syndrome ◽

Flow Reserve ◽

Tomographic Angiography

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