• Conference Proceedings
  • Journals
  • Journal of Applied Remote Sensing
    Journal of Astronomical Telescopes, Instruments, and Systems
    Journal of Biomedical Optics
    Journal of Electronic Imaging
    Journal of Medical Imaging
    JMI Information for Authors
    Journal of Micro/Nanolithography, MEMS, and MOEMS
    Journal of Nanophotonics
    Journal of Photonics for Energy
    Neurophotonics
    Optical Engineering
    Individual Subscriptions
    Institutional Subscriptions
    For Subscription Agents
  • SPIE Digital Library
  • Books
  • Open Access
  • Contact SPIE Publications
Print PageEmail Page

Journal of Medical Imaging Special Section Calls for Papers

To submit a manuscript for consideration in a Special Section, please prepare the manuscript according to the journal guidelines and use the Online Submission SystemLeaving site. A cover letter indicating that the submission is intended for this special section should be included with the paper. Papers will be peer‐reviewed in accordance with the journal's established policies and procedures. Authors who pay the voluntary page charges will receive the benefit of open access

View the list of special sections that have already been published on the SPIE Digital Library.

CALLS FOR PAPERS:

Digital Pathology

Development and Status of Phase-Contrast X-ray Imaging for Biomedical Applications

Visions of Safety: Perspectives on Radiation Exposure and Risk in Medical Imaging

Radiomics and Deep Learning


Digital Pathology

April-June 2017

Digital Pathology

Guest Editors:

Metin N. Gurcan, PhD
The Ohio State University
E-mail: metin.gurcan@osumc.edu

Anant Madabhushi, PhD
Case Western Reserve University
E-mail: anantm@case.edu

John Tomaszewski, MD
State University of New York at Buffalo
E-mail: johntoma@buffalo.edu

Call for Papers: Diagnostic histopathology is a broad and complex field, which is foundational to our understanding of multiple aspects of diagnostic medicine. While the tools available to diagnostic histopathologists have improved to include a variety of molecular tests, the analysis of the cellular imaging aspects of histopathology have largely remained qualitative. Whole slide imaging technology, robust image servers, high-performance computing, computational image analysis, and assessment techniques are now converging to set the stage for the establishment of a new field of computational histopathology. Diagnostic histopathologists, image scientists, and biomedical engineers are now collaborating to build this new science, which is often referred to as digital pathology.

This special section of the Journal of Medical Imaging seeks contributions in the form of research articles on the subject of digital pathology which highlight a wide-spectrum of research areas including, but not limited to:

  • image acquisition
  • quantitative image analysis
  • color standardization detection and segmentation
  • precision medicine
  • deep learning
  • computer assisted diagnosis and prognosis
  • machine learning and classification
  • content based image retrieval
  • multimodal coregistration
  • 3-D reconstruction
  • information fusion, radiogenomics, pathogenomics
  • feature analysis and characterization
  • observer performance, human factors, and diagnostic interpretation issues.

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.

Closed for submissions.

Top


PCI image of human knee

Development and Status of Phase-Contrast X-ray Imaging for Biomedical Applications

Guest Editors:

Mark A. Anastasio, PhD
Washington University in St. Louis
Department of Biomedical Engineering
St. Louis, Missouri 63110, United States
E-mail: anastasio@wustl.edu

Jovan G. Brankov, PhD
Illinois Institute of Technology
Department of Electrical and Computer Engineering
Chicago, Illinois 60616, United States
E-mail: brankov@iit.edu

Call for Papers: Whereas conventional x-ray imaging is based only on attenuation of x-rays, x-ray phase-contrast imaging (XPCI) methods are also able to measure the subtler effects of refraction and ultrasmall angle scattering. Thus, XPCI methods permit visualization of soft-tissue structures that are not detectable by use of conventional x-ray radiographic methods, and also hold the potential to reduce imaging dose. XPCI methods hold great potential for a wide range of clinical, small-animal, and microscopic bioimaging applications. The most common implementations of XPCI include crystal interferometry, propagation-based imaging, analyzer-based imaging, edge-illumination, and grating-based imaging. Despite extensive research efforts, XPCI has yet to be clinically translated. However, continued technical advancements are making XPCI more suitable for widespread application.

This special section of the Journal of Medical Imaging seeks contributions in the form of research articles on the subject XPCI that highlight a wide spectrum of research areas including, but not limited to:

  • medical imaging applications
  • preclinical imaging applications
  • new system implementations
  • advancement and optimization of existing implementations
  • simulation tools
  • assessment of task-specific image quality
  • computational methodologies for phase retrieval
  • tomographic image reconstruction
  • use of advanced x-ray sources.

For more information on manuscript 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 due 31 March 2017.

Top


Radiation Exposure

October-December 2017

Visions of Safety: Perspectives on Radiation Exposure and Risk in Medical Imaging

Guest editors:

Ehsan Samei, PhD
Duke University Medical Center
Carl E. Ravin Advanced Imaging Laboratories
Duke Clinical Imaging Physics Group
Medical Physics Graduate Program
Durham, North Carolina 27710
E-mail: samei@duke.edu

Christoph Hoeschen, PhD
Otto-von-Guericke University Magdeburg
Institute of Medical Technology
Universitätsplatz 2
39106 Magdeburg
Germany
E-mail: christoph.hoeschen@ovgu.de

Call for Papers: Since the very early years of using ionizing radiation for medical diagnosis and therapy, it became obvious that beside the benefits of an accurate diagnosis or a successful treatment, ionizing radiation may also have harmful effects. Over many decades, there have been extensive scholarship and dialogue about how to deal with the associated risks and how to justify the use of ionizing radiation on humans for each application. In the last 15 years, increased reliance on medical applications with ionizing radiation has brought these issues into a sharper focus. Increased life expectancy and increased social sensitivity to risk factors have further fueled the attention. This special section aims to highlight the basic understandings of exposure measurement, risk estimation, and optimization in medical imaging as well as the actual achievements in such areas to provide a comprehensive vision of safety in radiological imaging. Explicit topics of interest are:

Foundations

  • Ethics of safety
  • Mechanism of harm from radiation burden
  • Summary of radiation exposure levels in medical imaging procedures today
  • Review of recent studies on the impact of low levels of radiation on health (below 100 mSv)
  • Risk evaluation from medical cohorts
  • Risk and risk estimation in the context of uncertainty

Dosimetry Science

  • Exposure and risk metrics and metrologies (organ dosimetry and beyond)
  • CT dosimetry
  • Dosimetry for interventional procedures
  • Projection x-ray dosimetry
  • Nuclear medical dosimetry
  • Dose measurement methods - staff and patients
  • New methods to determine exposures for patients and staff
  • Uncertainties in dose estimates and its correlation to risk estimates

Perspectives

  • Estimation of quantitative radiation risk from exposure data
  • What risk? Inflated safety concerns for exposures below 50-100 mSv
  • Radiation safety from an international perspective
  • Safety balance: safety of overexposure versus under-diagnosis
  • Imaging safety from clinical perspective

Safety in Practice

  • Radiation safety in pediatric imaging
  • Role of regulations in radiation safety
  • Practical radiation safety: risk mitigation by exposure optimization
  • Practical radiation safety: risk mitigation by appropriateness justification of the study
  • Practical radiation safety: risk mitigation by interventional procedure adjustments

Paper formats to be considered include regular research papers, technical notes, review papers, and perspective papers. 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 are due 15 March 2017.

Top


Radiomics

Radiomics and Deep Learning

Guest Editors:

Despina Kontos
The University of Pennsylvania
Perelman Center for Advanced Medicine
Philadelphia, Pennsylvania
E-mail: Despina.Kontos@uphs.upenn.edu

Ronald M. Summers
National Institutes of Health
Bethesda, Maryland
E-mail: rms@nih.gov

Maryellen Giger
The University of Chicago
Radiology Department
Chicago, Illinois
E-mail: m-giger@uchicago.edu

Call for Papers: Over the past decades, advances in imaging analytics from computer-aided diagnosis and quantitative imaging have provided the ability to extract clinically useful quantitative measures from medical imaging data with the goal to augment diagnostic interpretation. These imaging analytics, fueled by additional technological advances in computational resources, are now offering an unprecedented opportunity to rapidly extract and process vast amounts of information (i.e., radiomics) from medical images. Such information, especially when coupled with other biomedical data and high-dimensional machine learning tools, can not only yield methods for ultimate use in clinical decision making, but also contribute to discovery, offering new insights into genetic traits and molecular subtyping of disease, particularly in cancer, that can be used as precision medicine imaging biomarkers of disease prognosis and response to treatment.

This special section of the Journal of Medical Imaging seeks contributions in the form of research articles on the subject of radiomics and deep learning that highlight a wide spectrum of research areas including, but not limited to:

  • quantitative image analysis
  • high-dimensional feature extraction
  • convolutional neural networks and deep learning
  • computer-assisted diagnosis and prognosis
  • machine learning and classification
  • imaging genomics (radiogenomics).

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 due 1 May 2017.

Top


Published Special Sections:

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


Author Tools

General Guidelines for Authors
Open Access