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3D Optical Scan

Leong L, Wong M, Piazza M, Garry S, Heymsfield S, Shepherd J. Creating Accurate Representations of DXA Scans from 3D Optical Body Surface Scans for Arbitrary Regional Body Composition Analysis. 2021.

Advancing the assessment of human health through technology

AI PHI is located at the University of Hawai’i Cancer Center in Honolulu. We use advanced technology including AI, machine learning, and deep learning to assess human health and predict the risk of diseases such as cancer.

AI-Predicted DXA

Leong L, Wong M, Piazza M, Garry S, Heymsfield S, Shepherd J. Creating Accurate Representations of DXA Scans from 3D Optical Body Surface Scans for Arbitrary Regional Body Composition Analysis. 2021.

Our Directors

John Shepherd

Co-director
Managing and Imaging Sciences

Peter Sadowski

Co-Director
Machine Learning

Actual DXA

Leong L, Wong M, Piazza M, Garry S, Heymsfield S, Shepherd J. Creating Accurate Representations of DXA Scans from 3D Optical Body Surface Scans for Arbitrary Regional Body Composition Analysis. 2021.

Research

Our studies use artificial intelligence to improve and quantify the use of digital imaging in the diagnosis of diseases.

Difference

Leong L, Wong M, Piazza M, Garry S, Heymsfield S, Shepherd J. Creating Accurate Representations of DXA Scans from 3D Optical Body Surface Scans for Arbitrary Regional Body Composition Analysis. 2021.

Latest News

Featured Research

The background images used on this page come from our 2021 presentation, Creating Accurate Representations of DXA Scans from 3D Optical Body Surface Scans for Arbitrary Regional Body Composition Analysis (Leong L, et al.). Watch the video below for a demonstration.

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The AI learns to accurately reconstruct DXA scans after learning the structure and detail from 20K images

Our work involves analyzing many different types of images, including DXA and digital mammography.