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Image Informatics Lab
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The lab studies image informatics, using computers to process medical images.

AboutAbout the lab
Supporting the future of medicine through image informatics
The Image Informatics lab studies technologies for computer processing of the images used in medical and clinical settings (medical images).
Great expectations are placed on information processing technologies that extract important information from huge numbers of images and present it clearly, and that combine multiple sources of information to create new image information.
Its research themes are diffusion MRI, which captures the movement of water molecules in living tissue, and the modeling of human anatomical structures and the simulation of physiological phenomena.
The lab's motto is to 'become an expert in image information in medical and clinical settings,' and it says it also wants to actively carry out joint research with companies and medical institutions.
Key terms
- Diffusion MRI
- A type of magnetic resonance imaging that images the movement of water molecules in living tissue. It can estimate things such as the course of nerve fibers
- Tractography
- Images that visualize the course of nerves estimated from the movement of water molecules. Also called fiber tract imaging
- Signal model
- A model for estimating, from diffusion MRI signals, things such as the orientation dispersion of nerve fibers and the size of axons
NewsLab news
A joint study on parameter estimation for diagnosing breast tumors was published in Magnetic Resonance in Medical Sciences
A master's student won the SAMIT Frontier Award and the SAMIT Encouragement Award at SAMIT2025
An international conference paper examining how difficult dMRI models are to estimate was published in Lecture Notes in Computer Science
A joint study on parameter estimation in diffusion MRI was published in International Journal of Computer Assisted Radiology and Surgery
An undergraduate student received the Dean of the School of Medicine Award, Tohoku University, at the degree conferral ceremony
ResearchResearch themes
The amount of information in the images used in medical care and medical research keeps growing, and is approaching a level that human vision alone cannot process. This lab researches and develops information processing technologies for various medical images, aiming to contribute to society by supporting medicine and medical science.
*Illustrative imageSignal models for diffusion MRI and estimation of nerve fiber tracts
Diffusion MRI is a method that images the movement of water molecules, and an image visualizing the course of nerves is called tractography (a fiber tract image). The lab studies signal models and methods for estimating fiber tract structures, and also works on robustly estimating the parameters of various signal models with deep learning.
*Illustrative imageModeling of anatomical structures and physiological simulation
The lab studies how to model the internal anatomical structures of the human body from acquired medical images, and how to represent them for presentation to physicians and for use in machine learning. Structures of the human body vary between individuals, so statistical representations are effective. The lab also works on simulating the physiological phenomena that occur in them.
MembersFaculty
The members of the Image Informatics lab consist of faculty members and students in the master's program (including working professionals) and the undergraduate program.As of 2026
- ProfessorYoshitaka Masutani
- Assistant ProfessorYuki Ichinoseki
VoicesStudent voices
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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: “CT Brain Scan” Goleisureintl / CC BY 4.0 (cropped)
- Signal models for diffusion MRI and estimation of nerve fiber tracts: “DTI-sagittal-fibers” Thomas Schultz / CC BY-SA 3.0 (cropped)
- Modeling of anatomical structures and physiological simulation: “3D printed liver model - tumor” Jan Witowski / CC BY-SA 4.0 (cropped)
- Related lab (老年・在宅看護学): “New York National Guard nursing home” The National Guard / CC BY 2.0 (cropped)
- Related lab (医用画像工学): “Computed Tomography (CT) Scan Facility in Navi Mumbai” Goleisureintl / CC BY 4.0 (cropped)
- Related lab (画像診断学): “TORNAI-SpectrumOfMedicalImaging” Martin Tornai / CC BY 4.0 (cropped)
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