Autofluorescence imaging guided needle-type Raman spectroscopy system for breast tumor margin assessment

Shuyu Chen; Qian Chen; Ruoyu Zhang; Houpu Yang; Fei Xie; Shu Wang; Lihui Liu; Michael Schmitt; Jürgen Popp; Jianfeng Wang

doi:10.1364/OL.539475

Autofluorescence imaging guided needle-type Raman spectroscopy system for breast tumor margin assessment

Shuyu Chen, Qian Chen, Ruoyu Zhang, Houpu Yang, Fei Xie, Shu Wang, Lihui Liu, Michael Schmitt, Jürgen Popp, Jianfeng Wang^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

A trajectory-tracked, near-infrared autofluorescence imaging guided, biochemical signature-projected needle-type Raman spectroscopy (TNBN-RS) system integrated on a medical cart was developed for rapid wide-field breast tissue stratification. A wide-field (10 × 10 cm²) near-infrared autofluorescence (NIRAF) imaging subsystem was developed for gross stratification of breast tissue types based on higher NIRAF intensity associated with breast cancer, followed by projection of NIRAF-identified breast tumor margins onto the tissue of interest with a compact projector. Raman spectra were further acquired from the NIRAF projected regions for confirmed margin assessment using a needle-type Raman probe equipped with color camera-based probe trajectory tracking. The trajectory of the Raman probe and the accompanying RS biochemical signature-based margin assessment were instantly projected. A unique field of view (FOV) calibration method was proposed to calibrate the TNBN-RS FOVs, resulting in a projection accuracy of <2 mm. A graphical user interface (GUI) was developed in C# for system control, real-time processing and display of NIRAF images, Raman spectra, and projection of their results. The performance of the TNBN-RS system was validated on an ex vivo breast tissue, demonstrating its potential for rapid intraoperative breast tumor margin assessment.

Original language	English
Pages (from-to)	6733-6736
Number of pages	4
Journal	Optics Letters
Volume	49
Issue number	23
DOIs	https://doi.org/10.1364/OL.539475
Publication status	Published - 1 Dec 2024

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Chen, S., Chen, Q., Zhang, R., Yang, H., Xie, F., Wang, S., Liu, L., Schmitt, M., Popp, J., & Wang, J. (2024). Autofluorescence imaging guided needle-type Raman spectroscopy system for breast tumor margin assessment. Optics Letters, 49(23), 6733-6736. https://doi.org/10.1364/OL.539475

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title = "Autofluorescence imaging guided needle-type Raman spectroscopy system for breast tumor margin assessment",

abstract = "A trajectory-tracked, near-infrared autofluorescence imaging guided, biochemical signature-projected needle-type Raman spectroscopy (TNBN-RS) system integrated on a medical cart was developed for rapid wide-field breast tissue stratification. A wide-field (10 × 10 cm2) near-infrared autofluorescence (NIRAF) imaging subsystem was developed for gross stratification of breast tissue types based on higher NIRAF intensity associated with breast cancer, followed by projection of NIRAF-identified breast tumor margins onto the tissue of interest with a compact projector. Raman spectra were further acquired from the NIRAF projected regions for confirmed margin assessment using a needle-type Raman probe equipped with color camera-based probe trajectory tracking. The trajectory of the Raman probe and the accompanying RS biochemical signature-based margin assessment were instantly projected. A unique field of view (FOV) calibration method was proposed to calibrate the TNBN-RS FOVs, resulting in a projection accuracy of <2 mm. A graphical user interface (GUI) was developed in C# for system control, real-time processing and display of NIRAF images, Raman spectra, and projection of their results. The performance of the TNBN-RS system was validated on an ex vivo breast tissue, demonstrating its potential for rapid intraoperative breast tumor margin assessment.",

author = "Shuyu Chen and Qian Chen and Ruoyu Zhang and Houpu Yang and Fei Xie and Shu Wang and Lihui Liu and Michael Schmitt and J{\"u}rgen Popp and Jianfeng Wang",

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AU - Chen, Shuyu

AU - Chen, Qian

AU - Zhang, Ruoyu

AU - Yang, Houpu

AU - Xie, Fei

AU - Wang, Shu

AU - Liu, Lihui

AU - Schmitt, Michael

AU - Popp, Jürgen

AU - Wang, Jianfeng

PY - 2024/12/1

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N2 - A trajectory-tracked, near-infrared autofluorescence imaging guided, biochemical signature-projected needle-type Raman spectroscopy (TNBN-RS) system integrated on a medical cart was developed for rapid wide-field breast tissue stratification. A wide-field (10 × 10 cm2) near-infrared autofluorescence (NIRAF) imaging subsystem was developed for gross stratification of breast tissue types based on higher NIRAF intensity associated with breast cancer, followed by projection of NIRAF-identified breast tumor margins onto the tissue of interest with a compact projector. Raman spectra were further acquired from the NIRAF projected regions for confirmed margin assessment using a needle-type Raman probe equipped with color camera-based probe trajectory tracking. The trajectory of the Raman probe and the accompanying RS biochemical signature-based margin assessment were instantly projected. A unique field of view (FOV) calibration method was proposed to calibrate the TNBN-RS FOVs, resulting in a projection accuracy of <2 mm. A graphical user interface (GUI) was developed in C# for system control, real-time processing and display of NIRAF images, Raman spectra, and projection of their results. The performance of the TNBN-RS system was validated on an ex vivo breast tissue, demonstrating its potential for rapid intraoperative breast tumor margin assessment.

AB - A trajectory-tracked, near-infrared autofluorescence imaging guided, biochemical signature-projected needle-type Raman spectroscopy (TNBN-RS) system integrated on a medical cart was developed for rapid wide-field breast tissue stratification. A wide-field (10 × 10 cm2) near-infrared autofluorescence (NIRAF) imaging subsystem was developed for gross stratification of breast tissue types based on higher NIRAF intensity associated with breast cancer, followed by projection of NIRAF-identified breast tumor margins onto the tissue of interest with a compact projector. Raman spectra were further acquired from the NIRAF projected regions for confirmed margin assessment using a needle-type Raman probe equipped with color camera-based probe trajectory tracking. The trajectory of the Raman probe and the accompanying RS biochemical signature-based margin assessment were instantly projected. A unique field of view (FOV) calibration method was proposed to calibrate the TNBN-RS FOVs, resulting in a projection accuracy of <2 mm. A graphical user interface (GUI) was developed in C# for system control, real-time processing and display of NIRAF images, Raman spectra, and projection of their results. The performance of the TNBN-RS system was validated on an ex vivo breast tissue, demonstrating its potential for rapid intraoperative breast tumor margin assessment.

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Autofluorescence imaging guided needle-type Raman spectroscopy system for breast tumor margin assessment

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