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NMR Imaging Lab
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A magnetic resonance imaging lab that develops MRI equipment and imaging methods.
AboutAbout the lab
Developing MRI technology and connecting it to many fields.
The Magnetic Resonance Imaging Lab (Terada Lab) develops and researches MRI equipment and imaging methods.
Drawing on physical engineering and information engineering, the lab creates key technologies for using MRI and extends them beyond medicine to fields such as plants, food, and materials engineering.
Except for the magnet, all hardware and software are developed in-house in the lab.
Current focuses include developing a mobile MRI screening vehicle mounted on a standard passenger car, developing quantitative MRI technology, applying deep learning to MRI, and MRI-based microscopy.
Key terms
- Quantitative MRI
- An MRI technique that turns the physical properties of tissue (e.g., T2 relaxation time) into numerical values and images
- MR microscopy
- A magnetic resonance imaging (MRI) system that magnifies and views the inside of small objects. It has been used to observe human embryo specimens
- Zero-shot self-supervised learning
- A deep learning method that requires no training data. It is considered effective for specimens for which large amounts of data are hard to prepare
NewsLab news
A student received the Academic Excellence Award for fiscal 2025 (Reiwa 7)
A doctoral student received the Best Congress President's Award at the 53rd Annual Meeting of the Japan Society of Magnetic Resonance in Medicine
A master's student received the Congress President's Award at the 53rd Annual Meeting of the Japan Society of Magnetic Resonance in Medicine
A master's student's paper was published in Tomography
A doctoral student's paper was published in PLOS ONE
ResearchResearch themes
The lab centers on developing MRI equipment and imaging methods, and aims to apply them not only to medicine but also to a wide range of fields such as plants, food, and materials engineering. It works on technologies that shorten imaging time, the use of deep learning, and the development of MRI that views small specimens at high resolution.
*Illustrative imageSpeeding Up MRI of Human Embryos with Deep Learning
This research speeds up MRI of human embryos using zero-shot self-supervised learning, which requires no training data. The lab confirmed that, at acceleration factors up to 8x, anatomically important structures can be imaged without being lost.
*Illustrative imageSpeeding Up Quantitative MRI with Deep Learning
Quantitative MRI turns the physical properties of tissue into numerical values and provides information useful for diagnosis, but it has conventionally required long scan times. This work uses deep learning to make the scans faster.
*Illustrative imageSusceptibility Mapping of the Rat Liver
The lab is working on quantitative susceptibility mapping of the rat liver with MRI. The contrast agent SPIO is taken up only around tumors in cancerous livers, so estimating its accumulation is expected to lead to quantitative evaluation of the radiotherapy margin for liver cancer.
*Illustrative imageHigh-Resolution MRI for Viewing Human Embryos
MR microscopy is a magnetic resonance imaging system that magnifies and views the inside of small objects, and it has been used to observe chemically fixed human embryo specimens. The lab has developed MRI for observing human embryos that can resolve details of one hundredth of a millimeter.
MembersFaculty
The members of the Magnetic Resonance Imaging Lab consist of faculty, collaborative researchers, secretaries, and doctoral, master's, and undergraduate students.As of 2026
- Associate ProfessorYasuhiko Terada
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: “MRI scanner - geograph.org.uk - 5542083” Robin Webster / CC BY-SA 2.0 (cropped)
- Speeding Up MRI of Human Embryos with Deep Learning: “GPU workstation lid off” Wikideas1 / CC0 (cropped)
- Speeding Up Quantitative MRI with Deep Learning: “HITACHI, Magnetic Resonance Imaging System, ECHELON OVAL” Mj-bird / CC BY-SA 3.0 (cropped)
- Susceptibility Mapping of the Rat Liver: “Iron oxide nanoparticles after centrifugation” Ihor Panas / CC BY-SA 4.0 (cropped)
- High-Resolution MRI for Viewing Human Embryos: “Superconducting magnet cutaway” Hzofia74 / CC BY 4.0 (cropped)
- Related lab (磁気機能工学): “Nuclear magnetic resonance devices in CAFIA laboratory” Sarka Na kopci / CC BY-SA 4.0 (cropped)
- Related lab (非線形フォトニクス): “Laser LY-RGBW01 internals optical table shining in smoke PC301984” Alexey Vazhnov / CC BY-SA 4.0 (cropped)
- Related lab (軟X線極微細加工): “Extreme ultraviolet lithography tool” Lawrence Livermore National Laboratory / Public domain (cropped)
- Related lab (電子スピン共鳴分光): “Electron spin resonance spectroscopy” Bill Branson (Photographer) / Public domain (cropped)
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