Dynamic optical contrast imaging (DOCI): System theory for rapid, wide-field, multispectral optical imaging using fluorescence lifetime contrast mechanism

Harrison Cheng; Yao Xie; Peter Pellionisz; Aidan Pearigen; Khuzaima Rangwalla; Oscar Stafsudd; Zachary Taylor; Maie St John; Warren Grundfest

doi:10.1117/12.2513823

Dynamic optical contrast imaging (DOCI): System theory for rapid, wide-field, multispectral optical imaging using fluorescence lifetime contrast mechanism

Harrison Cheng^*, Yao Xie, Peter Pellionisz, Aidan Pearigen, Khuzaima Rangwalla, Oscar Stafsudd, Zachary Taylor, Maie St John, Warren Grundfest

^*Corresponding author for this work

University of California, Los Angeles

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

270 Downloads (Pure)

Abstract

Dynamic Optical Contrast Imaging (DOCi) is an imaging technique that generates image contrast through ratiometric measurements of the autouflorescence decay rates of aggregate uorophores in tissue. This method enables better tissue characterization by utilizing wide-field signal integration, eliminating constraints of uniform illumination, and reducing time-intensive computations that are bottlenecks in the clinical translation of traditional fluorescence lifetime imaging. Previous works have demonstrated remarkable tissue contrast between tissue types in clinical human pilot studies [Otolaryngology-Head and Neck Surgery 157, 480 (2017)]. However, there are still challenges in the development of several subsystems, which results in existing works to use relative models. A comprehensive mathematical framework is presented to describe the contrast mechanism of the DOCi system to allow intraoperative quantitative imaging, which merits consideration for evaluation in measuring tissue characteristics in several important clinical settings.

Original language	English
Title of host publication	Medical Imaging 2019
Subtitle of host publication	Image-Guided Procedures, Robotic Interventions, and Modeling
Editors	Baowei Fei, Cristian A. Linte
Publisher	SPIE
ISBN (Electronic)	9781510625495
DOIs	https://doi.org/10.1117/12.2513823
Publication status	Published - 1 Jan 2019
MoE publication type	A4 Conference publication
Event	SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling - San Diego, United States Duration: 17 Feb 2019 → 19 Feb 2019

Publication series

Name	Proceedings of SPIE
Volume	10951
ISSN (Print)	1605-7422

Conference

Conference	SPIE Medical Imaging
Country/Territory	United States
City	San Diego
Period	17/02/2019 → 19/02/2019

Keywords

Dynamic Optical Contrast Imaging
Fluorescence Lifetime
Real-time Imaging
SPIE Proceedings
System Theory

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ELEC_Cheng_Dynamic_Optical_SPIEFinal published version, 719 KB

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Cheng, H., Xie, Y., Pellionisz, P., Pearigen, A., Rangwalla, K., Stafsudd, O., Taylor, Z., St John, M., & Grundfest, W. (2019). Dynamic optical contrast imaging (DOCI): System theory for rapid, wide-field, multispectral optical imaging using fluorescence lifetime contrast mechanism. In B. Fei, & C. A. Linte (Eds.), Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling Article 109512T (Proceedings of SPIE; Vol. 10951). SPIE. https://doi.org/10.1117/12.2513823

Cheng, Harrison ; Xie, Yao ; Pellionisz, Peter et al. / Dynamic optical contrast imaging (DOCI) : System theory for rapid, wide-field, multispectral optical imaging using fluorescence lifetime contrast mechanism. Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. editor / Baowei Fei ; Cristian A. Linte. SPIE, 2019. (Proceedings of SPIE).

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title = "Dynamic optical contrast imaging (DOCI): System theory for rapid, wide-field, multispectral optical imaging using fluorescence lifetime contrast mechanism",

abstract = "Dynamic Optical Contrast Imaging (DOCi) is an imaging technique that generates image contrast through ratiometric measurements of the autouflorescence decay rates of aggregate uorophores in tissue. This method enables better tissue characterization by utilizing wide-field signal integration, eliminating constraints of uniform illumination, and reducing time-intensive computations that are bottlenecks in the clinical translation of traditional fluorescence lifetime imaging. Previous works have demonstrated remarkable tissue contrast between tissue types in clinical human pilot studies [Otolaryngology-Head and Neck Surgery 157, 480 (2017)]. However, there are still challenges in the development of several subsystems, which results in existing works to use relative models. A comprehensive mathematical framework is presented to describe the contrast mechanism of the DOCi system to allow intraoperative quantitative imaging, which merits consideration for evaluation in measuring tissue characteristics in several important clinical settings.",

keywords = "Dynamic Optical Contrast Imaging, Fluorescence Lifetime, Real-time Imaging, SPIE Proceedings, System Theory",

author = "Harrison Cheng and Yao Xie and Peter Pellionisz and Aidan Pearigen and Khuzaima Rangwalla and Oscar Stafsudd and Zachary Taylor and {St John}, Maie and Warren Grundfest",

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Cheng, H, Xie, Y, Pellionisz, P, Pearigen, A, Rangwalla, K, Stafsudd, O, Taylor, Z, St John, M & Grundfest, W 2019, Dynamic optical contrast imaging (DOCI): System theory for rapid, wide-field, multispectral optical imaging using fluorescence lifetime contrast mechanism. in B Fei & CA Linte (eds), Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling., 109512T, Proceedings of SPIE, vol. 10951, SPIE, SPIE Medical Imaging, San Diego, California, United States, 17/02/2019. https://doi.org/10.1117/12.2513823

Dynamic optical contrast imaging (DOCI): System theory for rapid, wide-field, multispectral optical imaging using fluorescence lifetime contrast mechanism. / Cheng, Harrison; Xie, Yao; Pellionisz, Peter et al.
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. ed. / Baowei Fei; Cristian A. Linte. SPIE, 2019. 109512T (Proceedings of SPIE; Vol. 10951).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Pellionisz, Peter

AU - Pearigen, Aidan

AU - Rangwalla, Khuzaima

AU - Stafsudd, Oscar

AU - Taylor, Zachary

AU - St John, Maie

AU - Grundfest, Warren

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N2 - Dynamic Optical Contrast Imaging (DOCi) is an imaging technique that generates image contrast through ratiometric measurements of the autouflorescence decay rates of aggregate uorophores in tissue. This method enables better tissue characterization by utilizing wide-field signal integration, eliminating constraints of uniform illumination, and reducing time-intensive computations that are bottlenecks in the clinical translation of traditional fluorescence lifetime imaging. Previous works have demonstrated remarkable tissue contrast between tissue types in clinical human pilot studies [Otolaryngology-Head and Neck Surgery 157, 480 (2017)]. However, there are still challenges in the development of several subsystems, which results in existing works to use relative models. A comprehensive mathematical framework is presented to describe the contrast mechanism of the DOCi system to allow intraoperative quantitative imaging, which merits consideration for evaluation in measuring tissue characteristics in several important clinical settings.

AB - Dynamic Optical Contrast Imaging (DOCi) is an imaging technique that generates image contrast through ratiometric measurements of the autouflorescence decay rates of aggregate uorophores in tissue. This method enables better tissue characterization by utilizing wide-field signal integration, eliminating constraints of uniform illumination, and reducing time-intensive computations that are bottlenecks in the clinical translation of traditional fluorescence lifetime imaging. Previous works have demonstrated remarkable tissue contrast between tissue types in clinical human pilot studies [Otolaryngology-Head and Neck Surgery 157, 480 (2017)]. However, there are still challenges in the development of several subsystems, which results in existing works to use relative models. A comprehensive mathematical framework is presented to describe the contrast mechanism of the DOCi system to allow intraoperative quantitative imaging, which merits consideration for evaluation in measuring tissue characteristics in several important clinical settings.

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M3 - Conference article in proceedings

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Cheng H, Xie Y, Pellionisz P, Pearigen A, Rangwalla K, Stafsudd O et al. Dynamic optical contrast imaging (DOCI): System theory for rapid, wide-field, multispectral optical imaging using fluorescence lifetime contrast mechanism. In Fei B, Linte CA, editors, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. SPIE. 2019. 109512T. (Proceedings of SPIE). doi: 10.1117/12.2513823

Dynamic optical contrast imaging (DOCI): System theory for rapid, wide-field, multispectral optical imaging using fluorescence lifetime contrast mechanism

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Keywords

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