The University of Tokyo · Medicine
Professor Shimpei Kato's research lab specializes in advanced neuroimaging and biomedical image analysis, focusing on quantitative MRI techniques such as 3D-QALAS and NODDI to decode microstructural changes in the brain. The lab develops and applies innovative image reconstruction methods—like compressed sensing and computer-aided detection—to enhance diagnostic accuracy and efficiency in neurological disorders, including multiple sclerosis and brain metastases. A key research direction involves leveraging high-resolution, multiparametric imaging to uncover the underlying pathology of neurodegeneration and neuroinflammation, with translational applications in preclinical lymphatic imaging and clinical radiology.
Figures are computed from collected data and may differ slightly.
Multiparametric imaging of the whole brain based on 3D-QALAS can be accelerated using CS while preserving tissue quantitative values, tissue segmentation, and quality of synthetic images.
FW imaging and NODDI were useful for identifying the etiology of neurodegeneration- and neuroinflammation-related microstructural changes in RRMS and NMOSD patients.
The increased ICVF in the BMS group may represent myelination and/or astrocytic hypertrophy, and microstructural changes in the amygdala in GBSS analysis indicate the emotional-affective profile of BMS.
CAD improved BM detection sensitivity on NECT without increasing FPs or reading time among less experienced radiologists, but this was not the case among experienced radiologists.
Computer-aided detection significantly improved BM detection sensitivity without prolonging reading time while marginally increased the false positives.
Mesenteric lymph node injection improved the efficacy of TD CT lymphangiography in mice. Mesenteric injection provided significantly better TD visualization than popliteal injection. Enhanced TD visualization in mice advances preclinical research on lymphatic diseases.
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