Special Issue "New Advances in Medical Imaging and Applied Radiology in Cancers"

A special issue of Tomography (ISSN 2379-139X).

Deadline for manuscript submissions: 30 June 2022.

Special Issue Editors

Dr. David A. Hormuth, II
E-Mail Website
Guest Editor
Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA
Interests: quantitative medical imaging; cancer imaging; radiation therapy; mathematical oncology; mechanism-based mathematical modeling; preclinical imaging
Dr. Chengyue Wu
E-Mail Website
Guest Editor
Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA
Interests: quantitative magnetic resonance imaging; medical image analysis; cancer imaging; neoadjuvant therapy; mathematical oncology; mechanism-based computational modeling

Special Issue Information

Dear Colleagues,

Since its introduction, medical imaging has played an essential and multifaceted role in healthcare, and the evolution of medical imaging and image-based techniques is always closely associated with the improvement of the diagnosis, prognosis, and treatment management of cancers. Specifically, innovative imaging techniques provide increasing opportunities to observe physiopathological features which are otherwise only accessible and measurable through invasive techniques. The convergence of advanced imaging data with emerging imaging processing techniques, including mechanism-based modeling and statistical-based artificial intelligence, is rapidly translating to essential changes in clinical practices.

In this Special Issue, we would like to focus on research articles, perspectives, and reviews informing readers about recent innovations on medical imaging and associated applications on cancer healthcare. We welcome submissions describing novel developments in image acquisition, reconstruction, and/or processing along with their impacts on clinical healthcare, especially in cancers. These will include variable modalities including molecular, magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), ultrasound (US), and optical imaging. Manuscripts emphasizing the specific clinical applications of developed techniques are highly encouraged, including image-assisted disease diagnosis, prognosis, prediction, and treatment planning. We also encourage submissions that have a focus on technical development or experimental validation but show an important clinical potential.

Dr. David A. Hormuth, II
Dr. Chengyue Wu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Tomography is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • quantitative medical image
  • advance image acquisition and reconstruction
  • image analysis
  • image-based diagnosis and prognosis of cancer
  • image-guide therapies
  • mathematical modeling

Published Papers

This special issue is now open for submission.
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