Optical imaging techniques have demonstrated potential to delineate tumor margins in vivo during surgery as they can rapidly characterize structural, biochemical or functional properties of tissue. Implementation in clinical practice demands rapid visualization and augmentation of imaging data but is often limited by the difficulty in dynamic registration, slow image reconstruction, lack of real- time ability or the need for contrast agents. The goal of this proposal is to implement the recently released Microsoft HoloLens with fiber-based imaging techniques to dynamically augment tissue characteristics directly on the interrogated area in the surgeon?s field of view.
The specific aims of this proposal are as follows: (1) To realize a prototype of the augmented reality visualization platform and to combine it with our fluorescence lifetime imaging (FLIm) system, implement a user interface for a convenient interaction with the device. (2) To evaluate and optimize the scanning resolution and the registration precision using fluorescence phantoms and demonstrate the system in vivo for ten patients undergoing lumpectomy surgery. A current pilot study has demonstrated the potential of FLIm to localize tumor margins on excised breast specimen. The acquired in vivo data will help to systematically analyze differences between ex vivo and in vivo fluorescence decay signatures and provide initial data for a large-scale study that will be necessary to delineate tumor margins in vivo. The innovation of this proposal is that it will realize an augmented reality visualization platform for FLIm and other fiber based optical imaging modalities providing dynamic (continuous) augmentation of tissue properties directly on the interrogated area (surgeon?s field of view) in real-time without requiring the injection of contrast agents. The successful completion of this work has consequently the potential for significant impact in the field of surgical navigation.

Public Health Relevance

This project seeks to realize an augmented and mixed reality visualization based on autofluorescence lifetime and any other fiber-based imaging technique for surgical navigation. The proposed research is consequently relevant to public health as it constitutes a critical part of surgical workflow to enable surgeon finding specific targets, avoiding areas of risk, and providing intraoperative orientation leading to higher resection precision and less interruptions in the surgical workflow.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Small Research Grants (R03)
Project #
5R03EB026819-02
Application #
9770855
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Duan, Qi
Project Start
2018-09-01
Project End
2020-06-30
Budget Start
2019-07-01
Budget End
2020-06-30
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of California Davis
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618