Enhance Fluorescence Imaging and Remove Motion Artifacts by Combining Pixel Tracking, Interleaved Acquisition, and Temporal Gating

Christopher Mela; Francis Papay; Yang Liu

doi:10.1109/JPHOT.2021.3055809

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Enhance Fluorescence Imaging and Remove Motion Artifacts by Combining Pixel Tracking, Interleaved Acquisition, and Temporal Gating

Journal article

Open access

Peer reviewed

Enhance Fluorescence Imaging and Remove Motion Artifacts by Combining Pixel Tracking, Interleaved Acquisition, and Temporal Gating

Christopher Mela, Francis Papay and Yang Liu

IEEE photonics journal, Vol.13(1), 3700113

02/2021

DOI: 10.1109/JPHOT.2021.3055809

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Abstract

Fluorescence imaging has been applied to improving many medical sub-specialties. In a clinical setting, there are motions of the imaging system and patients, as well as a high ambient light background. This presents a challenge for widely using fluorescence imaging systems clinically. In this paper, we present a novel approach combining computer vision and pulsed imaging system for enhanced fluorescence Imaging and motion artifacts removal. Specifically, we use a dense optical flow point tracking regime in conjunction with pulsed fluorescence excitation and interleaved acquisition. The system was characterized with respect to fluorescent detection sensitivity, using a clinically relevant fluorescent environment, and the results were compared to conventional steady-state (DC) fluorescence imaging. We also characterized the system with respect to fluorescence detection accuracy. We demonstrated a 45-fold reduction of motion artifacts by combining pixel tracking and fluorescence pixel identification with pulsed light imaging. Furthermore, the fluorescence imaging signal-to-background ratio is also improved for more than 2-fold. Our results indicate that pixel tracking, temporal gating, and interleaved acquisition can improve fluorescence imaging, especially for uses in realistic clinical settings where there is a high ambient light background.

Computer Vision

Fluorescence

Light Emitting Diodes

Surgery

Biophotonics

Cameras

cyber-physical systems

fluorescence imaging

image-guided surgery

Imaging

medical photonics

Microcontrollers

optical imaging

real-time imaging

Tracking

Details

Title: Subtitle: Enhance Fluorescence Imaging and Remove Motion Artifacts by Combining Pixel Tracking, Interleaved Acquisition, and Temporal Gating
Creators: Christopher Mela - University of Akron
Francis Papay - Cleveland Clinic
Yang Liu - University of Iowa
Resource Type: Journal article
Publication Details: IEEE photonics journal, Vol.13(1), 3700113
Publisher: IEEE
DOI: 10.1109/JPHOT.2021.3055809
ISSN: 1943-0655
eISSN: 1943-0655
Grant note: University of Iowa (10.13039/100008893) FA8650-16-2-6702 / U.S. Air Force (10.13039/100006831) Frederick Gardner Cottrell Foundation (10.13039/100012238) NNX14AL37H / National Aeronautics and Space Administration (10.13039/100000104)
Language: English
Date published: 02/2021
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197446602771

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