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 685036
  • - Editorial

Mathematical Methods and Applications in Medical Imaging 2014

Liang Li | Tianye Niu | Yi Gao
  • Special Issue
  • - Volume 2015
  • - Article ID 610482
  • - Research Article

Automatically Identifying Fusion Events between GLUT4 Storage Vesicles and the Plasma Membrane in TIRF Microscopy Image Sequences

Jian Wu | Yingke Xu | ... | Xiaoxiang Zheng
  • Special Issue
  • - Volume 2015
  • - Article ID 571473
  • - Research Article

An Adaptive Thresholding Method for BTV Estimation Incorporating PET Reconstruction Parameters: A Multicenter Study of the Robustness and the Reliability

M. Brambilla | R. Matheoud | ... | D. Zanni
  • Special Issue
  • - Volume 2015
  • - Article ID 597313
  • - Research Article

Adhesion Pulmonary Nodules Detection Based on Dot-Filter and Extracting Centerline Algorithm

Liwei Liu | Xin Wang | ... | Jianghui Dong
  • Special Issue
  • - Volume 2015
  • - Article ID 623236
  • - Research Article

Explicit Filtering Based Low-Dose Differential Phase Reconstruction Algorithm with the Grating Interferometry

Xiaolei Jiang | Li Zhang | ... | Zhenchang Wang
  • Special Issue
  • - Volume 2015
  • - Article ID 108274
  • - Research Article

A Reconstruction Method of Blood Flow Velocity in Left Ventricle Using Color Flow Ultrasound

Jaeseong Jang | Chi Young Ahn | ... | Jin Keun Seo
  • 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 494691
  • - Research Article

Adaptive Autoregressive Model for Reduction of Noise in SPECT

Reijo Takalo | Heli Hytti | ... | Antti Sohlberg
  • 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 836202
  • - Research Article

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

Liya Zhao | Kebin Jia
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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