Literature DB >> 26863663

Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations.

Guanglei Xiong, Peng Sun, Haoyin Zhou, Seongmin Ha, Briain O Hartaigh, Quynh A Truong, James K Min.   

Abstract

In clinical cardiology, both anatomy and physiology are needed to diagnose cardiac pathologies. CT imaging and computer simulations provide valuable and complementary data for this purpose. However, it remains challenging to gain useful information from the large amount of high-dimensional diverse data. The current tools are not adequately integrated to visualize anatomic and physiologic data from a complete yet focused perspective. We introduce a new computer-aided diagnosis framework, which allows for comprehensive modeling and visualization of cardiac anatomy and physiology from CT imaging data and computer simulations, with a primary focus on ischemic heart disease. The following visual information is presented: (1) Anatomy from CT imaging: geometric modeling and visualization of cardiac anatomy, including four heart chambers, left and right ventricular outflow tracts, and coronary arteries; (2) Function from CT imaging: motion modeling, strain calculation, and visualization of four heart chambers; (3) Physiology from CT imaging: quantification and visualization of myocardial perfusion and contextual integration with coronary artery anatomy; (4) Physiology from computer simulation: computation and visualization of hemodynamics (e.g., coronary blood velocity, pressure, shear stress, and fluid forces on the vessel wall). Substantially, feedback from cardiologists have confirmed the practical utility of integrating these features for the purpose of computer-aided diagnosis of ischemic heart disease.

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Year:  2016        PMID: 26863663      PMCID: PMC4975682          DOI: 10.1109/TVCG.2016.2520946

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  56 in total

Review 1.  Strain and strain rate imaging: a new clinical approach to quantifying regional myocardial function.

Authors:  George R Sutherland; Giovanni Di Salvo; Piet Claus; Jan D'hooge; Bart Bijnens
Journal:  J Am Soc Echocardiogr       Date:  2004-07       Impact factor: 5.251

2.  Hemodynamic shear stress and its role in atherosclerosis.

Authors:  A M Malek; S L Alper; S Izumo
Journal:  JAMA       Date:  1999-12-01       Impact factor: 56.272

3.  A comprehensive shape model of the heart.

Authors:  Cristian Lorenz; Jens von Berg
Journal:  Med Image Anal       Date:  2006-05-18       Impact factor: 8.545

4.  Automated 3-dimensional quantification of noncalcified and calcified coronary plaque from coronary CT angiography.

Authors:  Damini Dey; Victor Y Cheng; Piotr J Slomka; Ryo Nakazato; Amit Ramesh; Swaminatha Gurudevan; Guido Germano; Daniel S Berman
Journal:  J Cardiovasc Comput Tomogr       Date:  2009-10-01

5.  Automatic model-based segmentation of the heart in CT images.

Authors:  Olivier Ecabert; Jochen Peters; Hauke Schramm; Cristian Lorenz; Jens von Berg; Matthew J Walker; Mani Vembar; Mark E Olszewski; Krishna Subramanyan; Guy Lavi; Jürgen Weese
Journal:  IEEE Trans Med Imaging       Date:  2008-09       Impact factor: 10.048

Review 6.  Comprehensive plaque assessment by coronary CT angiography.

Authors:  Pál Maurovich-Horvat; Maros Ferencik; Szilard Voros; Béla Merkely; Udo Hoffmann
Journal:  Nat Rev Cardiol       Date:  2014-04-22       Impact factor: 32.419

Review 7.  Coronary MR angiography revealed: how to optimize image quality.

Authors:  Masaki Ishida; Hajime Sakuma
Journal:  Magn Reson Imaging Clin N Am       Date:  2014-10-05       Impact factor: 2.266

8.  Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study.

Authors:  Bon-Kwon Koo; Andrejs Erglis; Joon-Hyung Doh; David V Daniels; Sanda Jegere; Hyo-Soo Kim; Allison Dunning; Tony DeFrance; Alexandra Lansky; Jonathan Leipsic; James K Min
Journal:  J Am Coll Cardiol       Date:  2011-11-01       Impact factor: 24.094

9.  Automated three-dimensional quantification of noncalcified coronary plaque from coronary CT angiography: comparison with intravascular US.

Authors:  Damini Dey; Tiziano Schepis; Mohamed Marwan; Piotr J Slomka; Daniel S Berman; Stephan Achenbach
Journal:  Radiology       Date:  2010-09-09       Impact factor: 11.105

10.  Adenosine stress 64- and 256-row detector computed tomography angiography and perfusion imaging: a pilot study evaluating the transmural extent of perfusion abnormalities to predict atherosclerosis causing myocardial ischemia.

Authors:  Richard T George; Armin Arbab-Zadeh; Julie M Miller; Kakuya Kitagawa; Hyuk-Jae Chang; David A Bluemke; Lewis Becker; Omair Yousuf; John Texter; Albert C Lardo; João A C Lima
Journal:  Circ Cardiovasc Imaging       Date:  2009-03-31       Impact factor: 7.792

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  2 in total

1.  A Heart Segmentation Algorithm Based on Dynamic Ultrasound.

Authors:  Mingjun Tian; Minjuan Zheng
Journal:  Biomed Res Int       Date:  2022-06-17       Impact factor: 3.246

2.  On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses.

Authors:  Simona Celi; Emanuele Vignali; Katia Capellini; Emanuele Gasparotti
Journal:  Front Med Technol       Date:  2021-12-01
  2 in total

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