Transactions in Medical Imaging

May 15, 2020 | Contributed By - Helen Mulvana & Roberto Lavarello, T-UFFC representatives to T-MI

IEEE Transactions on Medical Imaging publishes manuscripts on imaging of body structure, morphology and function, including cell and molecular imaging and all forms of microscopy. The journal publishes original contributions on medical imaging achieved by modalities including ultrasound, x-rays, magnetic resonance, radionuclides, microwaves, and optical methods. Contributions describing novel acquisition techniques, medical image processing and analysis, visualization and performance, pattern recognition, machine learning, and related methods are encouraged. Studies involving highly technical perspectives are most welcome. The focus of the journal is on unifying the sciences of medicine, biology, and imaging. It emphasizes the common ground where instrumentation, hardware, software, mathematics, physics, biology, and medicine interact through new analysis methods.

TMI is co-sponsored by UFFC and EMB and managed by an editorial team led by Editor in Chief, Professor Leslie Ying. Leslie took up her post in April 2019 with an initial focus on updating the journal’s webpages and the resources and support provided to reviewers and authors. She has also continued to build her team of Associate Editors and is keen to increase expertise in ultrasound imaging. Members who are interested in becoming an Associate Editor for TMI may wish to review the recently updated training materials available on the webpage ( prior to submitting an expression of interest to the Prof Rutao Yao ( Applications are also invited to join the Scientific Advisory Board to TMI, with one position currently open. Of particular interest to the EiC is ensuring continued progression in ensuring there is gender and geographical diversity within both the team of Associate Editors and Scientific Advisory Board, as well as aiming to increase industry representation. Enquiries from each of these groups are therefore particularly welcome.

TMI regularly publishes Special Issues, many with significant relevance to the Ultrasound community. Particularly appropriate to us all during this time of pandemic is the rapid response ‘Special Issue on Imaging-based Diagnosis of COVID-19’ currently in preparation for expected publication around August 2020. While current diagnosis of COVID-19 is based on real-time reverse-transcriptase polymerase chain reaction (RT-PCR), the sensitivity of this diagnostic gold standard is lower at the initial presentation of COVID-19. Medical imaging, such as Computed Tomography (CT), Chest X-ray (CXR), and Ultrasound (US), are playing a major role in confirming positive COVID-19 patients. They are also allowing faster examination techniques for automated infection measurement. Meanwhile, techniques to allow COVID-19 diagnosis from imaging data, such as those based on artificial intelligence (AI) with deep learning and related software packages are being developed and have been deployed in many hospitals in China and other countries. Thus this Special Issue will focus on novel imaging analysis techniques related to COVID-19. As with other IEEE publications on the topic of COVID-19 research, the articles within this special issue will be made freely available for download from IEEE Xplore In addition you can get early access to published papers and updates by following TMI’s social media accounts on LinkedIn, Instagram, Facebook and Twitter.

As is the case across all journals, TMI aims to continuously explore ways of improving quality and accessibility for its readership. As a result, the journal will become an all-digital format from 2021 while also continuing to build on its rapid submission to publication time (7.9 weeks) and impressive Impact factor (7.816). The issue of open access, both to ensure content is as widely available as possible to the readership and to provide options that suit authors bounded by the requirements of their funders on this issue, is also currently under review. Options including the development of a ‘sister’ journal or a move towards a hybrid model under consideration.

Finally, to keep updated with TMI activities you can subscribe to the TMI newsletter, find out more information about calls for papers, view the current issue and access popular articles by visiting the recently updated webpages