About Tomography
Aims and Scope
Tomography (ISSN 2379-139X) publishes peer-reviewed original articles spanning all aspects of imaging science, from basic research to clinical trials. With a specific focus on the advancement of imaging technologies, including cross-sectional imaging modalities (US, CT, MRI, and PET), as well as optical modalities (i.e., bioluminescence, photoacoustic, endomicroscopy, fiber optic imaging and optical computed tomography). Original articles on US, CT and MRI contrast agents; hyperpolarized, optical, and nuclear agents; and on advances in hardware, software, imaging informatics, and chemical and molecular probe advances are also welcome. State-of-the-art reviews, generally invited, on cutting edge topics are also most welcome.
Tomography also welcomes studies involving exploration and refinement of contrast mechanisms and image-derived metrics within and across modalities toward the development of novel imaging probes for image-based feedback and intervention.
Tomography provides a unique publication venue allowing investigators the opportunity to more precisely communicate integrated findings related to the diverse and heterogeneous features associated with underlying anatomical, physiological, functional, metabolic, and molecular genetic activities of normal and diseased tissue. Thus, Tomography publishes peer-reviewed articles which involve the broad use of imaging of any tissue and disease type including both preclinical and clinical investigations. In addition, hardware or software, along with chemical and molecular probe advances are welcome as they are deemed to significantly contribute towards the long-term goal of improving the overall impact of imaging on scientific and clinical discovery.
Tomography provides a comprehensive venue for integration of imaging modalities to address biologically important and clinically relevant questions in order to facilitate more rapid and seamless scientific and clinical advancements.
Tomography seeks to help the scientific community by integrating the traditional narrowly focused “siloes” of imaging technologies in an effort to provide a low-resistance conduit bridging disciplines to promote integrated scientific advancements.
Tomography believes that through the analysis of simultaneous multidimensional (e.g., content, space, and time) and multivariate computational data extraction of features will support the unique identification of different pathologic tissue phenotypes needed for advancing clinical imaging.
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high quality scientific works to the field of scholarly publication. Unfortunately, cases of plagiarism, data falsification, inappropriate
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Copyright / Open Access
Articles published in Tomography will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY). The copyright is retained by the author(s). MDPI will insert the following note at the end of the published text:
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