Call for papers: Special Issue on Simulations of Digital Image Processing in Medical Applications

Abstract

Guest Editors: Yudong Zhang and Zhengchao Dong

Description

The digital medical image is a numeric simulation of a realistic medical image. Digital image processing is a computer-based modeling and simulation tool for various image-processing applications. Currently, scholars tend to apply digital image processing methods in medical applications, with the aim of simulating various medical image processing tasks. For example, image reconstruction and modeling techniques allow instant processing of 2D body slices to form a 3D image. Image processing and analysis can be used to determine the position, diameter and volume of a tumor. Computer vision and pattern recognition can help doctors interpret medical images.

However, note that the digital modeling and simulations cannot and should not be used directly in the realistic medical applications. Simulations on image reconstruction should be tested on hardware scanners in different configurations. Simulations on tumor segmentation may have excellent detection rate, but it needs further clinical examination. Simulations on computer-aided diagnosis can only sever as an assistant tool for physicians to make decisions, and it cannot replace a doctor.

This special issue aims to provide a forum for the dissemination of new modeling and simulation results in the field of medical image processing and analysis, with special emphasis on efforts related to the applications of computer vision, virtual reality and robotics to medical imaging problems.

The medical image datasets of interest include those acquired from magnetic resonance, ultrasound, computed tomography, nuclear medicine, x-ray, optical and confocal microscopy, video and range data images. The methods of image processing include but not limited to:

Image visualization

Image analysis

Computer graphics

Computer vision

Pattern recognition

Computer-aided diagnosis

Computer-aided modeling

Image super-resolution

Image denoising

Image segmentation

Image reconstruction

Signal processing

Submissions should be original work with scientific contributions, and can neither have been published nor be under concurrent review of another journal or conference. All submitted papers should be written in English and follow the format standards of the Journal. Each paper will be subjected to the Journal’s usual peer-review process. Once a manuscript has been accepted for publication, it will undergo language copyediting, typesetting, and reference validation in order to provide the highest publication quality possible.

Instructions for Manuscript Submission

For manuscript formatting and other guidelines, please visit the Author Guidelines for SIMULATION page on the SCS website (http://www.scs.org/simulation?q=node/92).

Submissions for Full Paper Review

Manuscripts should be prepared and submitted online at http://mc.manuscriptcentral.com/simulation. In the title page, author(s) must specifically mark that the paper is intended for this special issue as follows: “Submission for the Special Issue on Simulations of Digital Image Processing in Medical Applications.” Along with the manuscript, the authors must submit a cover letter in which they should state if the manuscript was previously submitted and if so, they must include details of the publication to which it was submitted (together with the submission number), the reviewer comments received and the authors’ response to the same. In addition to the cover letter, each submitted manuscript must include title, names, authors’ affiliations, postal and email addresses, a single-page description (refer to the Author Guidelines for SIMULATION, http://www.scs.org/simulation?q=node/92), and a list of keywords. For multiple-author submission, please identify the corresponding author.

Important Dates

Submission deadline: March 1, 2016

First author notification: July 1, 2016

Revisions due: September 1, 2016

Final notification: December 1, 2016

Expected date of publication: April 2017

Guest Editors

Prof. Dr. Yudong Zhang

School of Computer Science and Technology, Nanjing Normal University

1 Wenyuan, Nanjing, Jiangsu 210023, China

Prof. Dr. Zhengchao Dong

Translational Imaging Division & MRI Unit, Columbia University and New York State Psychiatric Institute

New York, NY 10032, USA

Dr. Yudong Zhang received his PhD in signal and information processing from Southeast University in 2010. From 2010 to 2012, he worked at Columbia University as a postdoctoral student. From 2012, he worked as an assistant research scientist at Columbia University and New York State Psychiatric Institute. At present, he is a full professor and doctoral advisor in the School of Computer Science and Technology at Nanjing Normal University. He was listed in the "2014 Most Cited Chinese Researchers" in computer science, and he is a member of "The Hundred Talents Program of Nanjing Normal University." He is the director of the Computer Application Federation of China Instrument and Control Society (CACIS). His research interests focus on knowledge engineering and medical image processing. He is the author and coauthor of 53 SCI-indexed papers.

Professional activities

Editor, Journal of Computer Information Systems (impact factor [IF]: 0.742)

Editor, Fundamenta Informaticae (IF: 0.479)

Editor, Scientia Iranica (IF: 0.842)

Guest Editor-in-Chief, Mathematical Problems in Engineering (IF: 1.082)

Guest Editor-in-Chief, Sensors (IF: 2.048)

Guest Editor, Neural Network World (IF: 0.412)

Dr. Zhengchao Dong currently works at Columbia University and New York State New York State Psychiatric Institute. His research interests are in MRI and MRSI. He has published three papers in JAMA Psychiatry (until 2013: Archives of General Psychiatry) with IF of 13.747.

Professional activities

Guest Editor-in-Chief, Biomed Research International (IF: 2.706)