Visualizer for tomographic Medical Images

2017 Fiscal Year Final Research Report

• Project/Area Number: 16K19903
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: General surgery
• Research Institution: Keio University
• Principal Investigator: Seki Tomoko 慶應義塾大学, 医学部(信濃町), 助教 (70528900)
• Project Period (FY): 2016-04-01 – 2018-03-31
• Keywords: ナビゲーションサージャリー / 乳腺外科 / タブレット端末

Outline of Final Research Achievements

This project introduces an interface that helps understand the correspondence between the patient and medical images. Surgeons determine the extent of resection by using tomographic images such as MRI (Magnetic Resonance Imaging) data. However, understanding the relationship between the patient and tomographic images is difficult. This study aims to visualize the correspondence more intuitively. We propose an interactive visualizer for medical images based on the relative position and orientation of the handheld device and the patient. We conducted an experiment to verify the performances of the proposed method and several other methods. In the experiment, the proposed method with a line laser showed the minimum error.

Free Research Field

乳腺外科