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Image Science and Technology Lab
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The lab develops technologies that analyze chest X-ray images with AI to support diagnosis.
AboutAbout the lab
Developing AI analysis of X-ray images to support diagnosis
The Image Science and Technology Lab researches technologies that use artificial intelligence (AI) to analyze medical images such as chest X-ray images.
Its work includes techniques that emphasize tumors and bones from two images taken under different imaging conditions, and methods aimed at early detection of interstitial pneumonia and detection of new pathological conditions of osteoporosis from chest X-rays.
The research uses information such as X-ray images of patients taken at facilities including Osaka University Hospital and Kitasato University Hospital.
Key terms
- Dual-energy subtraction
- A method that takes the difference between X-ray images captured at two energies, high and low, to emphasize only target organs such as tumors and bones.
- Computer-aided diagnosis
- A method that uses computer image analysis to assist diagnosis. Here, it is used for early detection of interstitial pneumonia.
- Opt-out
- A system in which information used in research is made public, and people who do not consent are excluded from the research.
ResearchResearch themes
The lab uses artificial intelligence (AI) and deep learning to analyze medical images such as chest X-ray images, and works on developing technologies to support image diagnosis and image verification. On its website, research that uses hospital image data is posted as information disclosure documents (opt-out), along with its subjects and purposes.
*Illustrative imageDeveloping DES technology for chest X-rays with AI
Together with Kitasato University Hospital and Kobe Tokiwa University, the lab is developing a technology that uses AI to generate low-energy images from conventional high-energy chest X-ray images in dual-energy subtraction chest radiography. By taking the difference between the two images, only target organs such as tumors and bones can be emphasized, which the lab says can contribute to improving diagnostic performance in image diagnosis.
*Illustrative imageFinding interstitial pneumonia on chest X-rays
Together with Tenri Hospital and Kobe Tokiwa University, the lab aims to develop a system that uses artificial intelligence and computer-aided diagnosis methods to detect interstitial pneumonia early from chest X-ray examinations. The lab says that detection on plain X-ray images can help reduce patients' radiation dose compared with CT examinations.
*Illustrative imageDetecting osteoporosis conditions on chest X-rays
The lab uses anonymized cases from patients who underwent chest X-ray imaging and bone mineral measurement by DXA at Osaka University Hospital. It is investigating a new method of detecting pathological conditions of osteoporosis from chest X-ray images.
*Illustrative imageSupporting image verification of X-ray images with deep learning
Using anonymized data from cases that underwent CT imaging including the lower limbs at Osaka University Hospital, the lab is considering developing a system that uses deep learning to support image verification of medical X-ray images.
MembersFaculty
The members of the Image Science and Technology Lab consist of faculty and doctoral, master's, and undergraduate students.As of 2025
- ProfessorTakayuki Ishida
- Assistant ProfessorYasuyuki Ueda
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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: “Radiographic positioning of a chest x-ray” AndyThesis / CC0 (cropped)
- Developing DES technology for chest X-rays with AI: “Medical X-Ray imaging HTB05 nevit” Nevit Dilmen (talk) / CC BY-SA 3.0 (cropped)
- Finding interstitial pneumonia on chest X-rays: “Chest radiograph of a lung with Kerley B lines” Mikael Häggström / CC0 (cropped)
- Detecting osteoporosis conditions on chest X-rays: “Blausen 0095 BoneDensitometryScan” BruceBlaus. When using this image in external sources it can be cited as: Blausen.com staff (2014). "Medical gallery of Blausen Medical 2014". WikiJournal of Medicine 1 (2). DOI:10.15347/wjm/2014.010. ISSN . / CC BY 3.0 (cropped)
- Supporting image verification of X-ray images with deep learning: “X-ray by Wilhelm Röntgen of Albert von Kölliker's hand” Wilhelm Röntgen; current version created by Old Moonraker. / Public domain (cropped)
- Related lab (Acute and Palliative Care Lab): “Patient lying in hospital bed in intensive care unit in Germany in 2015” Pittigrilli / CC BY-SA 4.0 (cropped)
- Related lab (Perioperative Management Lab): “AusMAT team members performing surgery ( )” Department of Foreign Affairs and Trade / CC BY 2.0 (cropped)
- Related lab (Psychiatric and Mental Health Nursing Lab): “Nursing staff, St Mary's Hospital” Ardosion / CC BY-SA 4.0 (cropped)
- Related lab (Chronic Illness Nursing Lab): “Nurse checks blood pressure” Linda Bartlett (Photographer) / Public domain (cropped)
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