Computational and Mathematical Methods in Medicine

Integrative Approaches in Computational Biomedical Imaging 2013


Publishing date
06 Dec 2013
Status
Published
Submission deadline
19 Jul 2013

Lead Editor

1State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, China

2B. Thomas Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA

3Department of Mathematics, University of Florida, 458 Little Hall, Gainesville, FL 32611-8105, USA


Integrative Approaches in Computational Biomedical Imaging 2013

Description

With the increasingly wider availability of biomedical imaging modalities, namely, magnetic resonance imaging (MRI), ultrasonic imaging, X-ray imaging, CT scan, PET, SPECT, and optical imaging, there have been many successful applications in clinical medical imaging and laboratory biological imaging. The ultimate goal of biomedical imaging is to understand the function of organisms and, more importantly, the mechanisms underlying disease. Given the wealth of data, computational biomedical imaging clearly matters; it determines how much information can be reliably extracted and, therefore, whether they can be used to do the things like diagnosis. It requires advanced algorithms and computational tools.

Nowadays, integrative approaches play an important role in computational biomedical imaging. In order to obtain sensible outcomes from imaging data, there are several issues which need to be properly addressed, including the representation of the problem domain, the proper models addressing two features that are inherent to imaged biological systems: complexity and uncertainty, the modeling of the solution properties which must be used for extracting meaningful solutions, and the optimization methods that integrate the imaging data and the models. Prospective authors are invited to submit their research contributions related to the following themes of this special issue, that is, which modalities can be used to obtain the information necessary for an integrative model for a particular application? How can the information from these modalities be integrated with each other and with any prior ones? How can integrated models be validated?, Potential topics include, but are not limited to:

  • Shape representation and analysis
  • Image registration and fusion
  • Image registration and fusion
  • Statistical and mathematical models and simulation
  • Image reconstruction
  • Computer-aided detection/diagnosis (e.g., for lung cancer, prostate cancer, breast cancer, colon cancer, liver cancer, acute disease, chronic disease, and osteoporosis)

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/cbi13/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 757380
  • - Editorial

Integrative Approaches in Computational Biomedical Imaging 2013

Huafeng Liu | Pengcheng Shi | Yunmei Chen
  • Special Issue
  • - Volume 2013
  • - Article ID 272691
  • - Review Article

Investigation on Cardiovascular Risk Prediction Using Physiological Parameters

Wan-Hua Lin | Heye Zhang | Yuan-Ting Zhang
  • Special Issue
  • - Volume 2013
  • - Article ID 434969
  • - Research Article

A Novel Multiinstance Learning Approach for Liver Cancer Recognition on Abdominal CT Images Based on CPSO-SVM and IO

Huiyan Jiang | Ruiping Zheng | ... | Di Zhao
  • Special Issue
  • - Volume 2013
  • - Article ID 327613
  • - Research Article

Fast and Automatic Ultrasound Simulation from CT Images

Weijian Cong | Jian Yang | ... | Yongtian Wang
  • Special Issue
  • - Volume 2013
  • - Article ID 251628
  • - Research Article

Automatic Sex Determination of Skulls Based on a Statistical Shape Model

Li Luo | Mengyang Wang | ... | Yves Rozenholc
  • Special Issue
  • - Volume 2013
  • - Article ID 682827
  • - Research Article

An Approach for the Visualization of Temperature Distribution in Tissues According to Changes in Ultrasonic Backscattered Energy

Jingjing Xia | Qiang Li | ... | Po-Hsiang Tsui
  • Special Issue
  • - Volume 2013
  • - Article ID 796342
  • - Research Article

Automatic Vasculature Identification in Coronary Angiograms by Adaptive Geometrical Tracking

Ruoxiu Xiao | Jian Yang | ... | Yongtian Wang
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate35%
Submission to final decision79 days
Acceptance to publication44 days
CiteScore1.840
Impact Factor1.563
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