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Image Information Diagnosis and Engineering Lab
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The lab uses computers to interpret medical images in support of diagnosis and surgery.
AboutAbout the lab
Computers read the inside of the human body from images
Mori Lab studies image-centered media processing, including image processing, computer vision, computer graphics, and virtual reality.
A major feature of the lab is that it targets not only 2D images but also high-dimensional 3D and 4D images, and conducts research in which computers understand and make judgments about structures inside the human body.
Methods developed in the lab are used in hospitals and elsewhere for diagnosing diseases, for treatment, and for endoscopic surgery.
Undergraduate students can request Mori Lab in the lab assignment in the third year of the Department of Computer Science, School of Informatics. (Students in the Department of Electrical Engineering, Electronics, and Information Engineering in the School of Engineering cannot do their graduation research in Mori Lab.)
Key terms
- Virtualized endoscopy
- A method that uses CT or MR images to generate, by computer, images that look as if they were observed with an endoscope.
- Segmentation
- Image processing that extracts a specific region, such as the bronchi, from a CT image.
ResearchResearch themes
The lab studies image-centered media processing, such as image processing and computer vision, and conducts research in which computers understand and make judgments about structures inside the human body. It also works widely on medical applications, including virtualized endoscopy, diagnostic support from CT images, and surgical simulation.
*Illustrative imageVirtualized endoscopy
A method that uses CT or MR images to generate, by computer, images that look as if they were observed with an endoscope. The lab has continued this research since 1993, and the current system is used by many people.
*Illustrative imageMedical image recognition
The lab studies how to extract (segment) the bronchial regions from CT images and how to automatically assign anatomical names to each bronchial branch. It also studies detecting abdominal organs and lymph nodes in CT images.
*Illustrative imageDiagnostic support from CT images
The lab studies technology for finding lesions such as lung cancer in CT images, and for automatically determining regions suspected of emphysema. It also develops a system that supports colon diagnosis.
*Illustrative imageSurgical simulation
The lab works on preoperative simulation before laparoscopic surgery, and on incision simulation using images of an infant's buttocks to support surgery for imperforate anus (anorectal malformation). The imperforate anus work is joint research with the Department of Pediatric Surgery at the Nagoya University School of Medicine and Aichi Children's Health and Medical Center.
MembersFaculty
Mori Lab members consist of faculty, project faculty, researchers, doctoral, master's, and undergraduate students, research students, and secretaries.As of 2026
- ProfessorKensaku Mori
- Associate ProfessorMasahiro Oda
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: “US Navy 080718-N-6387D-006 Hospital Corpsman 2nd Class Sean Simmons positions a 12-year old Timorese patient for a CT-scan” U.S. Navy photo by Mass Communication Specialist 1st Class A. Nick De La Cruz / Public domain (cropped)
- Virtualized endoscopy: “Olympus Endoscopes )” Kitmondo Marketplace / CC BY 2.0 (cropped)
- Medical image recognition: “CT image of atherosclerosis of the abdominal aorta” Jmarchn / CC BY-SA 3.0 (cropped)
- Diagnostic support from CT images: “CT Brain Scan” Goleisureintl / CC BY 4.0 (cropped)
- Surgical simulation: “Laparoscopic operating theatre” Dr.jayesh amin / CC BY-SA 3.0 (cropped)
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