Special Issue "Medical Imaging & Image Processing"


A special issue of Technologies (ISSN 2227-7080).

Deadline for manuscript submissions: 31 March 2015

Special Issue Editors

Guest Editor
Prof. Dr. Yudong Zhang
1 School of information science and technology, Nanjing Normal University, Nanjing, China
2 Columbia University, New York, NY, USA
Website: http://computer.njnu.edu.cn/profile.ashx?staffID=102
E-Mail: zhangyudongnuaa@gmail.com
Phone: +86-15905183664
Interests: artificial intelligence; data mining; magnetic resonance imaging

Guest Editor
Dr. Zhengchao Dong
Professor, Columbia University, New York, NY 10032, USA, Research Scientist, New York State Psychiatric Institute, New York, NY 10032, USA
Website: http://childpsych.columbia.edu/brainimaging/CV_dong.html
E-Mail: zhengchaodong@gmail.com
Phone: +1-212-543-5997
Fax: +1-212-543 6660
Interests: magnetic resonance spectroscopy imaging

Special Issue Information

Dear Colleagues,

Medical Imaging has become an essential component in many fields of bio-medical research and clinical practice. Biologists study cells and generate 3D confocal microscopy data sets, virologists generate 3D reconstructions of viruses from micrographs, radiologists identify and quantify tumors from MRI and CT scans, and neuroscientists detect regional metabolic brain activity from PET and functional MRI scans.

Image Processing includes the analysis, enhancement and display of images captured via various medical imaging technologies. Image reconstruction and modeling techniques allow instant processing of 2D signals to create 3D images. In addition, image processing and analysis can be used to determine the diameter, volume and vasculature of a tumor or organ, flow parameters of blood or other fluids and microscopic changes that have yet to raise any otherwise discernible flags.

Dr. Yudong Zhang
Dr. Zhengchao Dong
Guest Editors


Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Technologies is an international peer-reviewed Open Access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. For the first couple of issues the Article Processing Charge (APC) will be waived for well-prepared manuscripts. English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.


  • medical imaging
  • biological imaging
  • magnetic resonance imaging
  • neuroimaging
  • computerized tomography
  • image processing & analysis
  • machine learning
  • pattern recognition

Published Papers

No papers have been published in this special issue yet, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Imaging from Compton cameras comprised of detectors with no spatial resolution
Author: Bruce D. Smith
Department of Electrical and Computer Engineering, University of Texas at San Antonio One UTSA, Circle San Antonio, Texas 78249-0669, USA; E-Mail: Bruce.Smith@utsa.edu
An intrinsic limitation of the accuracy that can be achieved with Compton cameras results from the inevitable fact that the detectors, which comprise the camera, cannot have infinitely accurate spatial resolution.  A new theory that has the potential to mitigate the loss of accuracy due to the finite spatial resolution of detectors is developed in this paper.  Paradoxically, the new theory involves using detectors that have no spatial resolution at all.  The new theory is based upon a new imaging model.  The results of a computer simulation indicate that the new imaging model can produce reasonable images at least when noiseless simulated data is used.  Camera designs that can exploit the new imaging model to produce a parallel projection, or a fan-beam projection are presented.  Although the results presented are promising, further effort is needed to establish their usefulness with real data.

Last update: 29 September 2014

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