Computational and Mathematical Methods in Medicine

Advanced Computer Vision Approaches in Biomedical Image Analysis


Publishing date
06 Sep 2013
Status
Published
Submission deadline
19 Apr 2013

1Department of Scientific Computing, The Florida State University, Tallahassee, FL 32306-4120, USA

2Department of Computer Science, Ludwig Maximilians University of Munich, 80539 Munich, Germany

3Department of Signal Theory, Telematics and Communications, Faculty of Science, University of Granada, 18071 Granada, Spain


Advanced Computer Vision Approaches in Biomedical Image Analysis

Description

Medical imaging today is becoming one of the most important visualization and interpretation methods in biology and medicine. The past decade has witnessed a tremendous development of new powerful instruments for detecting, storing, transmitting, analyzing, and displaying images. These instruments are greatly amplifying the ability of biochemists, biologists, medical scientists, and physicians to see their objects of study and to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. Noise, artifacts, and weak contrast are the cause of a decrease in image quality and make the interpretation of medical images very difficult. These sources of interference, which are of a different nature for mammograms than for ultrasound images, are responsible for the fact that conventional or traditional analysis and detection algorithms are not always successful.

The biomedical imaging scene is one of the most difficult to cope with since we have to deal not only with non-Gaussian, nonstationary, and nonlinear processes (transients, bursts, and ruptures) but also with mixtures of components interacting in a quite complicated form. Therefore, much of the research done today is geared towards improvement of the reduced quality of the available biomedical imaging material.

The aim of this special issue is to present the current state of the art in the theory of advanced computer vision approaches and applications to biomedical image analysis and modeling. We are interested in articles that explore novel problems in biomedical imaging that require advanced computer vision approaches. Potential topics include, but are not limited to:

  • Computational anatomy
  • Rigid and nonrigid image registration
  • Snake, splines, and deformable models
  • Diffusion tensor image analysis
  • Time series analysis
  • Feature extraction/selection, information-theory-related approaches, and classification
  • Functional and high-resolution magnetic resonance imaging
  • Multidimensional data visualization
  • Statistical methods/population-based analysis
  • PDE-based image analysis
  • Image fusion and multimodal image analysis
  • Dynamic textures
  • Biomedical motion analysis

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/bia/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 347265
  • - Editorial

Advanced Computer Vision Approaches in Biomedical Image Analysis

Anke Meyer-Baese | Claudia Plant | Juan Manuel Gorriz Saez
  • Special Issue
  • - Volume 2014
  • - Article ID 978373
  • - Research Article

A New Kernel-Based Fuzzy Level Set Method for Automated Segmentation of Medical Images in the Presence of Intensity Inhomogeneity

Maryam Rastgarpour | Jamshid Shanbehzadeh
  • Special Issue
  • - Volume 2013
  • - Article ID 287089
  • - Research Article

Implementation of a Low-Cost Mobile Devices to Support Medical Diagnosis

Carlos García Sánchez | Guillermo Botella Juan | ... | Francisco Tirado Fernández
  • Special Issue
  • - Volume 2013
  • - Article ID 190304
  • - Research Article

Multiple Active Contours Guided by Differential Evolution for Medical Image Segmentation

I. Cruz-Aceves | J. G. Avina-Cervantes | ... | R. Guzman-Cabrera
  • Special Issue
  • - Volume 2013
  • - Article ID 137392
  • - Research Article

An Improved Computer Vision Method for White Blood Cells Detection

Erik Cuevas | Margarita Díaz | ... | Marco Perez-Cisneros
  • Special Issue
  • - Volume 2013
  • - Article ID 638563
  • - Research Article

Segmentation of Brain MRI Using SOM-FCM-Based Method and 3D Statistical Descriptors

Andrés Ortiz | Antonio A. Palacio | ... | Diego Salas-González
  • Special Issue
  • - Volume 2013
  • - Article ID 760903
  • - Research Article

Improving the Convergence Rate in Affine Registration of PET and SPECT Brain Images Using Histogram Equalization

D. Salas-Gonzalez | J. M. Górriz | ... | I. A. Illán
  • Special Issue
  • - Volume 2013
  • - Article ID 872676
  • - Research Article

Assessment of Feasibility to Use Computer Aided Texture Analysis Based Tool for Parametric Images of Suspicious Lesions in DCE-MR Mammography

Mehmet Cemil Kale | John David Fleig | Nazım İmal
  • Special Issue
  • - Volume 2013
  • - Article ID 890170
  • - Research Article

The Analysis of the Artifacts due to the Simultaneous Use of Two Ultrasound Probes with Different/Similar Operating Frequencies

Samreen Amir | B. S. Chowdhry | ... | Musarrat Hasan
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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