Computational and Mathematical Methods in Medicine

Image-Based Computational Cardiology: From Data to Understanding


Publishing date
24 Jan 2014
Status
Published
Submission deadline
06 Sep 2013

Lead Editor
Guest Editors

1Rochester Institute of Technology, Rochester, NY 14634, USA

2Shenzhen Institutes of Advanced Technology, Shenzhen, China

3Auckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand


Image-Based Computational Cardiology: From Data to Understanding

Description

Breakthroughs in imaging technologies have led to significant advances in the quality and quantity of cardiac imaging data, from cell to organ level. These developments also broaden the definition of images, which availed the observation of cardiac function in high temporal and spatial resolutions. At the same time, the power of computing facilities continues to grow worldwide over the last decade. This opens unprecedented opportunities for researchers to utilize the growing computing power to better understand and integrate multimodality cardiac imaging data, to interpret these data in the form of an in-depth understanding of the basic behaviors of the heart, to unravel the mechanisms and progression of specific heart disease patterns, and to lay down the foundation for personalized clinical care and management of heart diseases.

This special issue focuses on the relevant efforts on image-based analysis of cardiac function, covering the electrophysiological, electromechanical, and mechanical behaviors of the heart. The main goal of this special issue is to provide an overview of the current state-of-the-art advances in cardiac image computing, with a special emphasis given to the computing techniques for understanding cardiac functions and properties developed recently over the past five years. Potential topics include, but are not limited to:

  • Integrative, multiscale models to study physiological functions of the intact heart
  • Analysis and processing of widely used cardiac images (such as MRI, ultrasound, and echocardiography) and physiological recordings (such as electrocardiograms and catheter mapping data), as well as multimodal image and signal fusion methods to integrate this wide spectrum of cardiac data to assist with clinical decision-making and therapy guidance
  • Combining clinical and physiological measurements with computational models to personalize the parameters of the heart towards the personalized screening, diagnosis, therapy planning, and treatment followups
  • Optimizing computational techniques towards their clinical translations

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/cmmm/acc/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 120960
  • - Editorial

Image-Based Computational Cardiology: From Data to Understanding

Linwei Wang | Vicky Y. Wang | Heye Zhang
  • Special Issue
  • - Volume 2014
  • - Article ID 278479
  • - Research Article

Fitting Continuous Parametric Surfaces to Frontiers Delimiting Physiologic Structures

Jason D. Bayer | Matthew Epstein | Jacques Beaumont
  • Special Issue
  • - Volume 2014
  • - Article ID 303159
  • - Research Article

The Relationship between the 24 h Blood Pressure Variability and Carotid Intima-Media Thickness: A Compared Study

Huahua Xiong | Dan Wu | ... | Yuan-Ting Zhang
  • Special Issue
  • - Volume 2013
  • - Article ID 293069
  • - Research Article

Embryonic Heart Morphogenesis from Confocal Microscopy Imaging and Automatic Segmentation

Hongda Mao | Megan Gribble | ... | Pengcheng Shi
  • Special Issue
  • - Volume 2013
  • - Article ID 160139
  • - Research Article

Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation

Nian Cai | Shengru Wang | ... | Dong Liang
  • Special Issue
  • - Volume 2013
  • - Article ID 795650
  • - Research Article

Three-Dimensional Reconstruction of Thoracic Structures: Based on Chinese Visible Human

Yi Wu | Na Luo | ... | Shaoxiang Zhang
  • Special Issue
  • - Volume 2013
  • - Article ID 783939
  • - Research Article

Three-Dimensional Reconstruction of Coronary Arteries and Its Application in Localization of Coronary Artery Segments Corresponding to Myocardial Segments Identified by Transthoracic Echocardiography

Chunyan Zhong | Yanli Guo | ... | Wenting Wang
  • Special Issue
  • - Volume 2013
  • - Article ID 276478
  • - Research Article

-Norm Regularization in Volumetric Imaging of Cardiac Current Sources

Azar Rahimi | Jingjia Xu | Linwei Wang
  • Special Issue
  • - Volume 2013
  • - Article ID 957195
  • - Research Article

A Voxel-Map Quantitative Analysis Approach for Atherosclerotic Noncalcified Plaques of the Coronary Artery Tree

Ying Li | Wei Chen | ... | Shaoxiang Zhang
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate32%
Submission to final decision46 days
Acceptance to publication39 days
CiteScore3.400
Impact Factor1.770
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