Computational and Mathematical Methods in Medicine

Mathematical Methods and Applications in Medical Imaging 2014


Status
Published

Lead Editor
Guest Editors

1Tsinghua University, Beijing, China

2Zhejiang University, Hangzhou, China

3University of Alabama at Birmingham, Birmingham, USA


Mathematical Methods and Applications in Medical Imaging 2014

Description

Medical imaging applies different techniques to acquire human images for clinical purposes, including diagnosis, monitoring, and treatment guidance. As a multidisciplinary field, medical imaging requires the improvements in both science and engineering to implement and maintain its noninvasive feature. The main purpose of this issue is bridging the gap between mathematical methods and their applications in medical imaging, including reconstruction, image processing, and image quality enhancement. We also welcome the computationally efficient implementations of the proposed mathematical methods. The annual special issue will build an international platform and serve as a forum for researchers to summarize and discuss recent advances in the medical imaging.

Potential topics include, but are not limited to:

  • Reconstruction methods in medical imaging, including but not limited to helical CT, kV/MV cone-beam CT, magnetic resonance imaging, nuclear medicine (SPECT, PET) imaging, and ultrasound imaging
  • Computational methods in medical image processing, for example, image registration, segmentation, fusion, and so forth
  • Quantitative imaging techniques, for example, scatter correction, beam hardening correction, and so forth
  • Phase-contrast imaging
  • Spectroscopic (multienergy) imaging
  • Optimization techniques in inverse problems
  • Hardware acceleration techniques in medical imaging, for example, embedded system, GPU, and cloud computation
  • Other innovative imaging modalities and techniques

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 152693
  • - Review Article

Recent Development of Dual-Dictionary Learning Approach in Medical Image Analysis and Reconstruction

Bigong Wang | Liang Li
  • Special Issue
  • - Volume 2015
  • - Article ID 906452
  • - Research Article

Few-View Prereconstruction Guided Tube Current Modulation Strategy Based on the Signal-to-Noise Ratio of the Sinogram

Ming Chang | Yongshun Xiao | Zhiqiang Chen
  • Special Issue
  • - Volume 2015
  • - Article ID 172918
  • - Research Article

Estimation of Sensitive Proportion by Randomized Response Data in Successive Sampling

Bo Yu | Zongda Jin | ... | Ge Gao
  • Special Issue
  • - Volume 2015
  • - Article ID 790313
  • - Research Article

Optimized Parallelization for Nonlocal Means Based Low Dose CT Image Processing

Libo Zhang | Benqiang Yang | ... | Huazhong Shu
  • Special Issue
  • - Volume 2015
  • - Article ID 502573
  • - Research Article

Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram

Ruoxiu Xiao | Jian Yang | ... | Yongtian Wang
  • Special Issue
  • - Volume 2015
  • - Article ID 354869
  • - Research Article

CT Image Reconstruction from Sparse Projections Using Adaptive TpV Regularization

Hongliang Qi | Zijia Chen | Linghong Zhou
  • Special Issue
  • - Volume 2015
  • - Article ID 419826
  • - Research Article

Identification of Mitral Annulus Hinge Point Based on Local Context Feature and Additive SVM Classifier

Jianming Zhang | Yangchun Liu | Wei Xu
  • Special Issue
  • - Volume 2015
  • - Article ID 868493
  • - Research Article

Finger Vein Segmentation from Infrared Images Based on a Modified Separable Mumford Shah Model and Local Entropy Thresholding

Marios Vlachos | Evangelos Dermatas
  • Special Issue
  • - Volume 2015
  • - Article ID 836202
  • - Research Article

Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations

Liya Zhao | Kebin Jia
  • Special Issue
  • - Volume 2015
  • - Article ID 814104
  • - Research Article

Feature Selection Based on Machine Learning in MRIs for Hippocampal Segmentation

Sabina Tangaro | Nicola Amoroso | ... | Roberto Bellotti
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate32%
Submission to final decision46 days
Acceptance to publication39 days
CiteScore3.500
Journal Citation Indicator0.520
Impact Factor2.238
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Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.