Journal of Medical Imaging

Editor-in-Chief: Bennett A. Landman, Vanderbilt University, USA

The Journal of Medical Imaging (JMI) 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: "Dual-energy computed tomography imaging with megavoltage and kilovoltage X-ray spectra" by Giavanna Jadick, Geneva Schlafly, and Patrick J. La Rivière, in Volume 11 Issue 2.

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.

Photon-counting: Detectors and Applications
Publication Date
Vol. 11
Submission Deadline
30 April 2024
Guest Editors

University of Houston
Email: mdas@Central.UH.EDU

University of Chicago
Email: pjlarivi@uchicago.edu

Scope

Photon counting detectors for x-rays have made the transition from research lab to clinical prototypes and into commercial imaging systems. They remain the subject of significant research activity aimed at improving the hardware, designing novel corrections for non-idealities, and exploring novel imaging modes made possible by the rich spectral information they can capture. 

This special section of the Journal of Medical Imaging (JMI) seeks contributions in the form of research articles on the subject of x-ray photon counting that highlight a wide spectrum of research areas including, but not limited to:

  • new detector designs
  • new correction schemes
  • spectral radiography
  • spectral computed tomography
  • novel image acquisition strategies

Manuscripts should conform to the JMI author guidelineshttp://spie.org/JMIauthorinfo. 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.

 

Celebrating Digital Tomosynthesis: Past, Present, and Future
Publication Date
Vol. 11
Submission Deadline
28 June 2024
Guest Editors

US Food and Drug Administration
Email: Stephen.Glick@fda.hhs.gov

University of Chicago
Email: ireiser@uchicago.edu

Mitch Goodsitt, PhD

University of Michigan
Email: goodsitt@med.umich.edu

University of Pennsylvania 
Email: Andrew.Maidment@pennmedicine.upenn.edu

Konica Minolta Healthcare
Email: john.sabol@konicaminolta.com

Scope

Digital tomosynthesis (DT) is a limited angle tomographic imaging modality that has been primarily developed in the past two decades. It is currently being used for a variety of clinical tasks, focused mostly on imaging of the breast and the chest.

Digital breast tomosynthesis (DBT) was first discussed in the landmark article by Niklason et al. in 1997, and was first approved for commercial use by the FDA for radiographic applications in 2005 and for mammography in 2014. It is well known that screening of asymptomatic women for breast cancer with mammography has contributed to a 30-40% decrease in breast cancer mortality, however, the interpretation of a mammogram is still challenging, especially for the dense breast. Digital breast tomosynthesis allows for visualization of the pseudo 3D breast, thereby reducing the supposition effect (overlapping normal breast structure) that greatly contributes to the difficulty of reading a mammogram. In the past 10 years, retrospective and prospective clinical trials have shown that DBT can improve the cancer detection rate while also reducing the rate of recall. Many improvements in DBT technology have been and are continuing to be developed promising even better performance of this relatively new technology in the future.

Radiographic tomosynthesis is a limited angle tomographic method that provides sectional images through anatomy using a low-dose technique. Studies have shown that detection of pathology is substantially improved compared with conventional radiography. In addition, radiographic tomosynthesis has a number of advantages of conventional CT imaging of the chest, including lower dose, lower financial cost, and higher patient throughput.

This special section of the Journal of Medical Imaging (JMI) seeks contributions in the form of research articles about digital tomosynthesis that highlight a wide spectrum of research areas including, but not limited to:

  • History of digital tomosynthesis (DT): instrumentation
  • History of DT: clinical use
  • Novel hardware developments including detectors, and x-ray sources
  • Development of new imaging acquisition strategies, including alternative geometries
  • Optimization of DT acquisition parameters
  • Novel DT image reconstruction methods including the use of deep learning
  • Development of new digital phantoms for modeling of DT systems
  • In silico computational models for simulating DT systems
  • Model observers for assessing DT image quality
  • Virtual Clinical Trials of DT
  • Development of new quality control (QC) or acceptance testing methods for assessing system performance of DT
  • Clinical aspects of DT
  • CAD/AI solutions for DT
  • New applications of DT, for example, contrast-enhanced DT, multi-modality systems, phase-contrast DT, new synthetic mammography (SM) algorithms, etc.

Manuscripts should conform to the JMI author guidelineshttp://spie.org/JMIauthorinfo. 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.

Celebrating Digital Tomosynthesis; image credit: left, Söderman et al., doi 10.1117/12.2216950; right, Dahlblom et al., doi 10.1117/1.JMI.10.S2.S22408

 

Published Special Sections

AR/VR in Medical Imaging (in progress)
Guest Editors: Ryan Beams, Bruce Daniel, and Raj Shekhar

Global Health, Equity, Bias, and Diversity in AI in Medical Imaging (2022 - 2023)
Guest Editors: Judy W. Gichoya, Rui C. Sá, Ronald M. Summers, and Heather Whitney

Informatics and Imaging Data Management (November/December 2023)
Guest Editors: Katherine P. Andriole, Susan Astley, Elizabeth Krupinski, and Thomas Deserno

Artificial Intelligence in Medical Imaging for Clinical Practice (September/October 2023)
Guest Editors: Claudia Mello-Thoms, Karen Drukker, Sian Taylor-Phillips, Khan Iftekharuddin, and Marios Gavrielides

Special Issue on Advances in Breast Imaging
(2023)
Guest Editors: Hilde Bosmans, Alistair Mackenzie, Nicholas Marshall, Robert Marti, Martin P. Tornai, and Reyer Zwiggelaar

Special Issue on Medical Image Perception and Observer Performance (2023)
Guest Editors: Elizabeth A. Krupinski, Asli Kumcu, and Karla Evans

Special Issue Celebrating 50 Years of SPIE Medical Imaging (2022)
Editors: Kyle Myers and Maryellen Giger

Advances in High Dimensional Medical Imaging (September/October 2022)
Guest Editors: Ivana Išgum, Bennett A. Landman, and Tomaž Vrtovec

Hard X-Ray Tomography with Micrometer Resolution (May/June 2022)
Guest Editors: Bert Müller, Stuart R. Stock, Ge Wang, and Jovan Brankov

COVID Medical Imaging Research (2021)
Editor: Maryellen Giger

X-Ray Computed Tomography at 50 (September/October 2021)
Guest Editors: Norbert J. Pelc, Rebecca Fahrig, and Patrick J. La Riviere

2D and 3D Imaging: Perspectives in Human and Model Oberver Performance (September/October 2020, July/August 2021)
Guest Editors: Claudia Mello-Thoms, Craig K. Abbey, and Elizabeth A. Krupinski

Radiogenomics in Prognosis and Treatment (May/June 2021)
Guest Editors: Karen Drukker, Despina Kontos, and Hui Li

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

Interventional and Surgical Data Science (May/June 2020)
Guest Editors: Amber Simpson and Michael Miga

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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