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Diagnostic Imaging Lab
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A lab that works on screening for sports injuries and more using diagnostic imaging and AI.
AboutAbout the lab
Supporting a healthy, long-lived society with cutting-edge technology
The Diagnostic Imaging lab, built on three pillars of diagnostic imaging, AI, and contribution to society, conducts research to help people live better in the era of 100-year lives.
Using a portable MRI, the lab screens the musculoskeletal system at sports sites, such as for baseball elbow in youth baseball.
It works on AI that uses MRI images to assist diagnosis, and plans to develop AI that predicts prognosis.
The lab also researches postmortem imaging (autopsy imaging), and broadens its research themes by incorporating research proposals from students.
Key terms
- multimodal AI
- AI that can analyze multiple different types of data together, such as images and clinical information
- self-supervised learning
- A method in which AI learns from tasks created from the data itself, without humans providing correct labels
- autopsy imaging
- Diagnostic imaging with CT, MRI, or other methods performed after death and used to investigate the cause of death; also called postmortem imaging
NewsLab news
A master's student received the IAFR Best Student Presentation Award
The Chinese edition of Prof. Okamoto's book "Diagnostic Imaging of the Upper Limb" was published
A fourth-year undergraduate student received the SICE Excellent Student Award from the Society of Instrument and Control Engineers
An English-language paper was accepted by Radiological Physics and Technology
ResearchResearch themes
Built on three pillars of diagnostic imaging, AI, and contribution to society, the lab conducts research to help people "live better." Its main research is screening with a portable MRI that can be used at sports sites, and the development of medical imaging AI that assists diagnosis.
*Illustrative imageBaseball Elbow Screening with Portable MRI
To reliably diagnose elbow injuries caused by overpitching in youth baseball, the lab brings an ultra-compact portable MRI to baseball teams' sites for screening. In the future, it is considering applying this to tennis elbow, golfer's elbow, and elbow screening for wheelchair users.
*Illustrative imagePredicting Kidney Function After Surgery for Renal Cell Carcinoma
Using multimodal AI that combines CT images, clinical information, and radiomics features, the lab predicts whether kidney function will decline after removal of renal cell carcinoma. It also aims to identify the factor most strongly associated with the decline.
*Illustrative imageBreast Cancer Diagnosis AI That Learns from Jigsaw Puzzles
In diagnosing breast cancer on mammography, radiologists look at both the lesion itself and the surrounding mammary gland structure. Using self-supervised learning with a jigsaw puzzle task, the lab aims to reflect this perspective in AI and improve classification performance.
*Illustrative imageBreast Cancer Diagnosis AI That Learns from Images and Text
The lab trains CLIP on mammography images paired with text of the findings and diagnoses obtained from radiologists' interpretations. By combining multiple kinds of information, it aims to further improve diagnostic accuracy.
MembersFaculty
The lab's members are faculty, doctoral, master's, and undergraduate students, resident physicians, and research assistants, with faculty from the Medical AI Center at Tohoku University Hospital also providing guidance.As of 2026
- ProfessorYoshikazu Okamoto
- Assistant ProfessorTomoya Kobayashi
- Assistant (Joshu)Hidetomo Takaya
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “TORNAI-SpectrumOfMedicalImaging” Martin Tornai / CC BY 4.0 (cropped)
- Baseball Elbow Screening with Portable MRI: “MRI scanner at the Royal Stoke University Hospital - geograph.org.uk - 4276444” Jonathan Hutchins / CC BY-SA 2.0 (cropped)
- Predicting Kidney Function After Surgery for Renal Cell Carcinoma: “CT Abdomen Scan” Goleisureintl / CC BY 4.0 (cropped)
- Breast Cancer Diagnosis AI That Learns from Jigsaw Puzzles: “Mammogram” National Cancer Institute / Public domain (cropped)
- Breast Cancer Diagnosis AI That Learns from Images and Text: “NCCT Brain Imaging” Goleisureintl / CC BY 4.0 (cropped)
- Related lab (Image Informatics Lab): “CT Brain Scan” Goleisureintl / CC BY 4.0 (cropped)
- Related lab (Women's Health and Midwifery Lab): “Pregnant woman” Ken Hammond (USDA) / Public domain (cropped)
- Related lab (Medical Physics Lab): “SIEMENS Somatom AR T CT Scanner ( )” Kitmondo Marketplace / CC BY 2.0 (cropped)
- Related lab (Medical Image Engineering Lab): “Computed Tomography (CT) Scan Facility in Navi Mumbai” Goleisureintl / CC BY 4.0 (cropped)
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