Computational and Mathematical Methods in Medicine

Mathematical Methods and Applications in Medical Imaging 2014


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


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
Computational and Mathematical Methods in Medicine
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