Applications of CT Scans to Quantitative Imaging and Precision Medicine
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 4071
Special Issue Editor
2. Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Tao-Yuan 333, Taiwan
3. Department of Nuclear Medicine, Linkou Chang Gung Memorial Hospital, Tao-Yuan 333, Taiwan
Interests: medical physics; medical imaging; radiation therapy; radiomics; machine learning; artificial intelligence
Special Issue Information
Dear Colleagues,
The image quality produced by CT scanning systems has been tremendously improved since the introduction of the first-generation CT system, developed in the early 1970s by Godfrey Hounsfield and Allan Cormack. This progress can be attributed to the advancement of CT core technologies such as the x-ray tube, electronic system of attenuating x-ray photon detection, and image reconstruction algorithm. CT imaging is now widely used in clinical disease diagnosis, treatment planning and patient positioning in radiation therapy, and preclinical imaging of various animal models. The new era of CT imaging has been undergoing a paradigm shift from anatomy-based methods to quantitative and prognostic diagnosis imaging. The integration of modern CT imaging with advanced computing tools such as radiomics and machine learning has made individualized medicine a potentially attainable goal. However, challenges and technical difficulties remain. These issues include access to the diverse and huge data sets from multiple healthcare institutions and independent clinical validation of predictive models. We cordially invite contributions on CT-related research from scientists and clinical physicians across diverse fields.
Dr. Shu-Ju Tu
Guest Editor
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Keywords
- quantitative imaging
- radiomics
- machine learning
- precision medicine
- individualized treatment
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