Journal of Medical Imaging

Editor-in-Chief: Maryellen L. Giger, The University of Chicago, USA

The Journal of Medical Imaging allows for the peer-reviewed communication and archiving of fundamental and translational research, as well as applications, focused on medical imaging, a field that continues to benefit from technological improvements and yield biomedical advancements in the early detection, diagnostics, and therapy of disease as well as in the understanding of normal conditions.

On the cover: The figure is from the paper " Constructing a tissue-specific texture prior by machine learning from previous full-dose scan for Bayesian reconstruction of current ultralow-dose CT imagesy" by Y. Gao et al., from the Special Section on Three-Dimensional Image Reconstruction in Nuclear Medicine, PET, and CT, guest edited by Scott Metzler, Samuel Matej, and J. Webster Stayman for Volume 7, Issue 3.

Calls For Papers
How to Submit a Manuscript

Regular papers: Submissions of regular papers are always welcome.

Special section papers: Open calls for papers are listed below. A cover letter indicating that the submission is intended for a particular special section should be included with the paper.

To submit a paper, please prepare the manuscript according to the journal guidelines and use the online submission systemLeaving site. All papers will be peer‐reviewed in accordance with the journal's established policies and procedures. Authors have the choice to publish with open access.

SPECIAL ISSUE on COVID Medical Imaging Research
Publication Date
Vol. 7, SPECIAL ISSUE
Submission Deadline
Closed for submissions.
Editor-in-Chief
Maryellen Giger

The University of Chicago, USA
E-mail: m-giger@uchicago.edu

Scope

A shining piece of good news throughout the COVID-19 pandemic emergency has been the scientific community’s rapid and open response. Barriers to access have been removed, collaborations have been built overnight and across oceans, and the research and medical communities have been united in the common purpose of understanding the virus and finding a cure that will end the pandemic.

If you are working on research related to COVID that overlaps with the scope of the Journal of Medical Imaging, you are invited to submit a paper to a special issue dedicated entirely to COVID research in medical imaging. The special issue will be expedited to publish in 2020, in time for these papers to benefit ongoing work in this area. Articles published in the special issue will receive complimentary open access.

Manuscripts should adhere to the author guidelines of the Journal of Medical Imaging. Prospective authors should submit an electronic copy of their manuscript through the online submission system at https://jmi.msubmit.net. The special issue should be mentioned in the cover letter. Each manuscript will be reviewed by at least two independent reviewers. Peer review will commence immediately upon manuscript submission.

X-Ray Computed Tomography at 50
Publication Date
Vol. 8, No. 5
Submission Deadline
1 November 2020
Guest Editors
Norbert J. Pelc, Sc.D.

Stanford University
Department of Radiology
E-mail: pelc@stanford.edu

Rebecca Fahrig, PhD

Siemens Healthineers
E-mail:  rebecca.fahrig@siemens.com

Patrick La Riviere, PhD

University of Chicago
E-mail: pjlarivi@uchicago.edu

Scope

CT at 50

The first patient imaging exam with X-ray Computed Tomography (CT) was performed on October 1, 1971.  We are thus about to celebrate the 50 th anniversary of this powerful technology that revolutionized diagnostic imaging. In its early years, CT quickly replaced a number of more invasive and less effective tests, and, in the ensuing years, the clinical impact of CT became even more compelling as the performance of clinical CT systems continued to progress at an impressive rate, while also improving dose efficiency. Exciting current research promises years of continued progress through advances in components, system designs, algorithms, and clinical applications, which will further improve the clinical utility of CT while simultaneously reducing patient dose.

This special section of the Journal of Medical Imaging, while including a few invited historical papers, seeks contributions in the form of research articles on the subject of X-ray Computed Tomography that highlight a wide spectrum of research areas including, but not limited to:

  • new detectors
  • new systems or system components
  • spectral CT
  • cone-beam CT
  • special-purpose systems
  • image reconstruction
  • quantitative imaging
  • image analysis
  • applications.

For more information on submission please see the journal web site at http://spie.org/JMIauthorinfo. Please indicate in your cover letter that the submission is for this special section. All submissions will be peer-reviewed.

Manuscripts should conform to the author guidelines of the Journal of Medical Imaging. Prospective authors should submit an electronic copy of their manuscript through the online submission system at https://jmi.msubmit.net. Please indicate in your cover letter that the submission is for this special section.

Each manuscript will be reviewed by at least two independent reviewers. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within six weeks. Special sections are opened for publication once a minimum of four papers have been accepted; each paper is published as soon as the copyedited and typeset proofs are approved by the author.

2D and 3D Imaging: Perspectives in Human and Model Observer Performance
Publication Date
Vol. 8, No. 4
Submission Deadline
30 November 2020
Guest Editors
Claudia Mello-Thoms, PhD

University of Iowa
Department of Radiology
Email: claudia-mello-thoms@uiowa.edu

Craig Abbey, PhD

University of California Santa Barbara
Department of Psychology and Brain Sciences
Email: craig.abbey@psych.ucsb.edu

Elizabeth A. Krupinski, PhD

Emory University
Department of Radiology and Imaging Sciences
Email: ekrupin@emory.edu



Scope

Traditional studies in medical image perception have been conducted using 2D images, such as chest radiographs and mammograms. However, as volumetric (3D) imaging has become more widely used in radiology, there is a paucity of information about how observers interact with these images to render clinical decisions.

The theme of this special section is the characterization of differences between the use of 2D and 3D imaging as it relates to improved understanding of human decision-making processes, including, but not limited to:

  • visual search,
  • image perception,
  • observer performance,
  • human and model observers,
  • cognitive processes,
  • image understanding.

Manuscripts should conform to the author guidelines of the Journal of Medical Imaging. Prospective authors should submit an electronic copy of their manuscript through the online submission system at https://jmi.msubmit.net. The special section should be mentioned in the cover letter. Each manuscript will be reviewed by at least two independent reviewers. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within six weeks. Special sections are opened online once a minimum of four papers have been accepted; each paper is published as soon as the copyedited and typeset proofs are approved by the author.

Radiogenomics

Radiogenomics in Prognosis and Treatment
Publication Date
Vol. 8, No. 3
Submission Deadline
15 August 2020
Guest Editors
Karen Drukker, PhD

University of Chicago
Department of Radiology
Email: kdrukker@uchicago.edu

Despina Kontos, PhD

University of Pennsylvania
Department of Radiology
Email: Despina.Kontos@uphs.upenn.edu

Hui Li, PhD

University of Chicago
Department of Radiology
Email: huili@uchicago.edu

Scope

Radiogenomics, or ‘imaging genomics’ in the context here, is a rapidly evolving field seeking correlations between computer-extracted imaging phenotypes and underlying genetic mechanisms. In other words, in cancer-related research, radiogenomics examines the relationship between the imaging phenotypes of cancers — imaged with, for example, MRI or CT — and gene expression patterns, gene mutations or variations, genetic pathways, and other genome-related characteristics. Similar associations could be investigated in other conditions such as Alzheimer’s disease.

Imaging plays an important role in the management of patients, including diagnosis, staging, radiation treatment planning, evaluation and prediction of response to therapeutics, and disease monitoring. With the recent increase in the availability of high-quality imaging data and improvements in computation power, radiomics has recently evolved beyond disease detection and diagnosis to the discovery of new imaging biomarkers, or imaging phenotypes, relevant to various aspects of clinical imaging. For example, cancer is a complex disease and one of the cornerstones to understanding cancer is genomics, that is, the research of genes and their inter relationships in order to identify their combined influence on cancer development and progression. The integration of radiomics and genomics into radiogenomics has great potential to discover, and better understand, relationships between imaging phenotypes and the biological underpinnings of disease to further improve the prediction of clinical outcomes.

Radiogenomics

The goal of this JMI special section is to pull together recent research on radiogenomics to illustrate both progress and challenges. This JMI special section is open to all radiogenomics-related research investigations, but especially encourages relevant submissions for (but not limited to) the following topics:

  • Review articles on radiogenomics
  • Pipelines for image processing and computational aspects
  • Research using publicly available datasets, such as The Cancer Genome Atlas (TCGA) or Clinical Proteomic Tumor Analysis Consortium (CPTAC) datasets on the Cancer Imaging Archive
  • Dataset requirements for radiogenomics for reproducibility and generalizability
  • Practical significance of radiogenomics in improving patient outcomes
  • Radiogenomics for precision medicine and radiotherapy
  • Radiogenomics for characterizing tumor heterogeneity
  • Emerging analytical image-based paradigms for clinical oncology
  • Potential role for deep learning in radiogenomics

Manuscripts should conform to the author guidelines of the Journal of Medical Imaging. Prospective authors should submit an electronic copy of their manuscript through the online submission system at https://jmi.msubmit.net. The special section should be mentioned in the cover letter. Each manuscript will be reviewed by at least two independent reviewers. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within six weeks. Special sections are opened online once a minimum of four papers have been accepted; each paper is published as soon as the copyedited and typeset proofs are approved by the author.

Published Special Sections

Special Section on Virtual Clinical Trials (July/August 2020)
Guest Editors: Ehsan Samei, Paul Kinehan, Robert M. Nishikawa, and Andrew Maidment

Three-Dimensional Image Reconstruction in Nuclear Medicine, PET, and CT (May/June 2020)
Guest Editors: Scott D. Metzler, Samuel Matej, and J. Webster Stayman

Medical Image Perception and Observer Performance (March/April 2020)
Guest Editors: William F. Auffermann, Trafton Drew, and Elizabeth A. Krupinski

Evaluation Methodologies for Clinical AI (January/February 2020)
Guest Editors: Susan M. Astley, Weijie Chen, Kyle J. Myers, and Robert M. Nishikawa

Advances in Breast Imaging (July-September 2019)
Guest Editors: Elizabeth A. Krupinski, Susan Astley, Martin Tornai, Robert Marti, and Reyer Zwiggelaar

3D Printing in Medical Imaging (April-June 2019)
Guest Editors: Ehsan Samei and Joseph Lo

Artificial Intelligence in Medical Imaging (January-March 2019)
Guest Editors: Paul Kinahan, Patrick La Riviere, and Elizabeth A. Krupinski

Medical Image Perceptions and Observer Performance (July-September 2018)
Guest Editors: Elizabeth A. Krupinski, Mia K. Markey, and Tamara Miner Haygood

Image-Guided Procedures, Robotic Interventions, and Modeling (April-June 2018)
Guest Editors: Michael I. Miga and Amber L. Simpson

Quantitative Imaging Methods and Translational Developments-Honoring the Memory of Dr. Larry Clarke (January-March 2018)
Guest Editors:  Robert Nordstrom, Darrell Tata, Lawrence Schwartz, Lubomir Hadjiyski, and Maryellen Giger

Radiomics and Deep Learning (October-December 2017)
Guest Editors: Despina Kontos, Ronald M. Summers, and Maryellen Giger

Visions of Safety: Perspectives on Radiation Exposure (July-September 2017)
Guest Editors:  Ehsan Samei and Christoph Hoeschen 

Digital Pathology (April-June 2017)
Guest Editors: Metin N. Gurcan, Anant Madabhushi, and John Tomaszewski

Development, Challenges, and Opportunities of Positron Emission Tomography (January-March 2017)
Guest Editors: Norbert J. Pelc, Paul E. Kinahan, and Roderic I. Pettigrew

Medical Image Perception and Observer Performance (January-March 2016)
Guest Editor: Elizabeth A. Krupinski

Radiomics and Imaging Genomics (October-December 2015)
Guest Editors: Maryellen Giger and Sandy Napel

Pioneers in Medical Imaging: Honoring the Memory of Robert F. Wagner (October-December 2014)
Guest Editors: Kyle J. Myers and Weijie Chen

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