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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 have the choice to publish with open access

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

CALLS FOR PAPERS:

Radiomics and Deep Learning

Quantitative Imaging Methods and Translational Developments–Honoring the Memory of Dr. Larry Clarke

Image-Guided Procedures, Robotic Interventions, and Modeling

Medical Image Perception and Observer Performance


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. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within 6 weeks of manuscript submission. 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.

Closed for submissions.

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Quantitative Imaging Methods and Translational Developments–Honoring the Memory of Dr. Larry Clarke

Guest Editors:

Larry Clarke

Robert Nordstrom, PhD
National Cancer Institute, NIH
Rockville, Maryland, United States
E-mail: nordstrr@mail.nih.gov

Darrell Tata, PhD
National Cancer Institute, NIH
Bethesda, Maryland, United States
E-mail: darrell.tata@nih.gov

Lawrence Schwartz, MD
Columbia University Medical Center
Department of Radiology
New York, New York, United States
E-mail: lhs2120@cumc.columbia.edu

Lubomir Hadjiyski, PhD
University of Michigan
Radiology Department
Ann Arbor, Michigan, United States
E-mail: lhadjisk@med.umich.edu

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

Call for Papers: Quantitative imaging in cancer treatment response assessment is the extraction of quantifiable features from medical images for use in predicting response to therapy and ultimately in aiding patient management. Multiple investigators and translational scientists are currently conducting research in quantitative imaging, including those involved in the NCI's Quantitative Imaging Network (QIN). QIN aims to promote research and development of quantitative imaging tools and methods for the measurement of tumor response to therapies in clinical trial settings, with an overall goal of facilitating clinical decision making.

This call for papers for the Journal of Medical Imaging announces a special section in memory of Dr. Larry Clarke who was instrumental in initiating NCI programs of the Lung Image Database Consortium (LIDC), the Cancer Imaging Archive (TCIA), the QIN, and programs for co-clinical trials. Larry Clarke was enthusiastic, visionary, and effective, and he significantly moved imaging forward into today's science of medicine.

Quantitative imaging projects have included development, adaptation, and/or implementation of quantitative imaging methods, imaging protocols, and software solutions/tools (using either developing or existing commercial imaging platforms and instrumentation) and application of these methods in current and planned clinical therapy trials. Various projects have focused on imaging-derived quantitative measurements of responses to drugs and/or radiation therapy, and/or image-guided interventions. To achieve the goals of quantitative imaging, multidisciplinary teams have included oncologists as well as clinical and basic imaging scientists.

This special section seeks contributions in the form of research articles on the subject of quantitative imaging that highlight this wide spectrum of research. Although not a requirement, many of the articles are expected to highlight the research of QIN researchers and their presentations from the QIN annual meetings.

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. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within 6 weeks of manuscript submission. 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.

Closed for submissions.

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Image-Guided Procedures

Image-Guided Procedures, Robotic Interventions, and Modeling

Lead Guest Editor:
Michael I. Miga, PhD
Vanderbilt University
Department of Biomedical Engineering
Nashville, Tennessee, United States
E-mail: michael.i.miga@Vanderbilt.Edu
https://engineering.vanderbilt.edu/bio/michael-miga

Guest Editor:
Amber L. Simpson, PhD
Memorial Sloan Kettering Cancer Center
Department of Surgery
New York, New York, United States
E-mail: simpsonl@mskcc.org
https://www.mskcc.org/research-areas/labs/amber-simpson

Call for Papers: This special issue is a celebration of the 30 year history of the SPIE Medical Imaging Conference on Image-Guided Procedures, Robotic Interventions, and Modeling. While the conference has evolved over the last three decades, one of its hallmarks has been the considerable emphasis on the translation of imaging and instrumentation to the surgical and interventional environment.

Similar to its long history, this special issue of the Journal of Medical Imaging will be focused on applications of medical imaging data in the engineering of therapeutic systems. Original papers are requested in the following topic areas:

  • Image-guided procedures
  • Minimally invasive surgery and intervention
  • Computer-assisted therapy and therapy planning
  • Robotic interventions and surgical tools
  • Localization technologies and navigation systems
  • Tracking and calibration
  • Intraoperative/interventional imaging (including molecular)
  • Image-to-physical registration
  • Modeling for therapy planning, guidance, and assessment
  • Techniques in population-specific and patient-specific model generation
  • Tissue/Disease characterization
  • Therapeutic modalities (mechanical, electrical, chemical, and radiation)
  • Medical image-based simulation and training
  • Validation & evaluation
  • 3D visualization
  • Novel interfaces
  • Augmented, virtual, and enhanced reality
  • Clinical applications and technology integration
  • Real-time computing for surgery and intervention
  • Data science and visualization
  • Safety and standards for image-guided and robotic procedures
  • Other related areas.

Members from the conference committee for the Medical Imaging Conference on Image-Guided Procedures, Robotic Interventions, and Modeling will act as associate editors for submitted manuscripts.

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. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within 6 weeks of manuscript submission. 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.

Submissions due 1 September 2017.

Role of Special Issue with regards to SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling Conference: Manuscripts for the JMI special issue should be submitted via the journal submission system at https://jmi.msubmit.net. As an additional benefit, all papers accepted to the special issue will be invited to participate at SPIE Medical Imaging 2018 (participation is optional). Invited authors will be provided the opportunity to write a 'Technical Note' about their accepted paper which will be published in the conference proceedings. In addition, with sufficient submissions, a special evening of platform presentations from accepted papers will be held during the conference. Other accepted papers will be provided platform or poster presentations in the standard conference tracks designated with high distinction. (see the conference website: http://spie.org/MI/conferencedetails/image-guided-procedures)

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Image from A.C. Venjakob and C.R. Mello-Thoms, "Review of prospects and challenges of eye tracking in volumetric imaging," J. Med. Imag. 3(1),011002 (2015).

Medical Image Perception and Observer Performance

Guest Editor:

Elizabeth A. Krupinski, PhD
Emory University
Department of Radiology & Imaging Sciences
1364 Clifton Road NE
Atlanta, Georgia 30322
E-mail: ekrupin@emory.edu

Mia K. Markey, PhD
The University of Texas at Austin
Department of Biomedical Engineering
and
The University of Texas MD Anderson Cancer Center
Department of Imaging Physics
Houston, Texas 77303
E-mail: mia.markey@utexas.edu

Tamara Miner Haygood, PhD, MD
The University of Texas  MD Anderson Cancer Center
Department of Diagnostic Radiology
Houston, Texas 77303
E-mail: Tamara.Haygood@mdanderson.org

Call for Papers: Medical image perception research measures the human observer's ability to perform specific diagnostic tasks using real or simulated medical images and compares the observer performance with predictions from quantitative models.

The theme of this JMI special section is image perception and observer performance research on detection and discrimination of abnormalities; cognition, psychophysics and behavior; perception errors; visual search patterns; human and ideal observer models; computer-based perception; impact of display and ergonomics; image processing; and assessment methods, metrics, and statistics. Although radiology imaging is a key focus, we are particularly interested in articles that deal with other medical imaging specialty applications such as pathology, ophthalmology, dermatology, and telemedicine.

This special section is open to everyone, and but especially encourages relevant submissions from the Medical Image Perception Conference (MIPS XVII). The Medical Image Perception Conference is a biennial conference dedicated to bringing together people interested in human and computer perception of medical image information and related subjects, such as detection and discrimination of abnormalities, cognitive and psychophysical processes, perception errors, search patterns, human and ideal observer models, computer-based perception (CAD and CADx), impact of display and ergonomic factors on image perception and performance, role of image processing on image perception and performance, and assessment methodologies.

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. Peer review will commence immediately upon manuscript submission, with a goal of making a first decision within 6 weeks of manuscript submission. 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.

Manuscripts due 15 December 2017.

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Published Special Sections:

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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