Mr. Armand P. Rathgeb Profile

Armand P. Rathgeb

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Publications (9)

SPIE Journal Paper | 13 August 2024 Open Access

Design and validation of a high-speed hyperspectral laparoscopic imaging system

Kelden Pruitt, Ling Ma, Armand Rathgeb, Jeffrey Gahan, Brett Johnson, Douglas Strand, Baowei Fei

JBO, Vol. 29, Issue 09, 093506, (August 2024) https://doi.org/10.1117/12.10.1117/1.JBO.29.9.093506

KEYWORDS: Cameras, Imaging systems, Laparoscopy, Tissues, Reflectivity, Hyperspectral imaging, Near infrared, Spatial resolution, Design, Tunable filters

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SignificanceMinimally invasive surgery (MIS) has shown vast improvement over open surgery by reducing post-operative stays, intraoperative blood loss, and infection rates. However, in spite of these improvements, there are still prevalent issues surrounding MIS that may be addressed through hyperspectral imaging (HSI). We present a laparoscopic HSI system to further advance the field of MIS.AimWe present an imaging system that integrates high-speed HSI technology with a clinical laparoscopic setup and validate the system’s accuracy and functionality. Different configurations that cover the visible (VIS) to near-infrared (NIR) range of electromagnetism are assessed by gauging the spectral fidelity and spatial resolution of each hyperspectral camera.ApproachStandard Spectralon reflectance tiles were used to provide ground truth spectral footprints to compare with those acquired by our system using the root mean squared error (RMSE). Demosaicing techniques were investigated and used to measure and improve spatial resolution, which was assessed with a USAF resolution test target. A perception-based image quality evaluator was used to assess the demosaicing techniques we developed. Two configurations of the system were developed for evaluation. The functionality of the system was investigated in a phantom study and by imaging ex vivo tissues.ResultsMultiple configurations of our system were tested, each covering different spectral ranges, including VIS (460 to 600 nm), red/NIR (RNIR) (610 to 850 nm), and NIR (665 to 950 nm). Each configuration is capable of achieving real-time imaging speeds of up to 20 frames per second. RMSE values of 3.51±2.03%, 3.43±0.84%, and 3.47% were achieved for the VIS, RNIR, and NIR systems, respectively. We obtained sub-millimeter resolution using our demosaicing techniques.ConclusionsWe developed and validated a high-speed hyperspectral laparoscopic imaging system. The HSI system can be used as an intraoperative imaging tool for tissue classification during laparoscopic surgery.

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Proceedings Article | 29 March 2024 Presentation + Paper

A fast and interactive augmented reality system for PET/CT-guided intervention of neuroblastoma

Rowan Fraser, Patric Bettati, Jeff Young, Armand Rathgeb, Shashank Sirsi, Baowei Fei

Proceedings Volume 12928, 129281D (2024) https://doi.org/10.1117/12.3008663

KEYWORDS: Augmented reality, Visualization, Volume rendering, Computed tomography, Autoregressive models, 3D modeling, Ultrasonography, Data modeling, Positron emission tomography, Tumors

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Proceedings Article | 29 March 2024 Presentation + Paper

An augmented reality-guided biopsy system using a high-speed motion tracking and real-time registration platform

Patric Bettati, Jeff Young, Armand Rathgeb, Nati Nawawithan, Jeffrey Gahan, Brett Johnson, Ryan Aspenleiter, Fintan Browne, Aditi Chaudhari, Aditya Guin, Varin Sikand, Grant Webb, Jeremy Sherey, Alsadiq Shammet, Baowei Fei

Proceedings Volume 12928, 129281G (2024) https://doi.org/10.1117/12.3008573

KEYWORDS: Biopsy, Augmented reality, Prostate, Calibration, Imaging systems, 3D modeling, Visualization, Optical tracking, Holograms, Computed tomography

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Proceedings Article | 29 March 2024 Presentation + Paper

An augmented reality and high-speed optical tracking system for laparoscopic surgery

Nati Nawawithan, Jeff Young, Patric Bettati, Armand Rathgeb, Kelden Pruitt, Jordan Frimpter, Henry Kim, Jonathan Yu, Davis Driver, Amanuel Shiferaw, Aditi Chaudhari, Brett Johnson, Jeffrey Gahan, James Yu, Baowei Fei

Proceedings Volume 12928, 129280E (2024) https://doi.org/10.1117/12.3008448

KEYWORDS: Laparoscopy, Surgery, Augmented reality, 3D modeling, Autoregressive models, Holograms, Video, Cameras, Motion models, Imaging systems

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Proceedings Article | 13 March 2024 Presentation + Paper

A dual-camera hyperspectral laparoscopic imaging system

Kelden Pruitt, Armand Rathgeb, Jeffrey Gahan, Brett Johnson, Douglas Strand, Baowei Fei

Proceedings Volume 12831, 1283107 (2024) https://doi.org/10.1117/12.3005893

KEYWORDS: Tissues, Imaging systems, Reflectivity, Laparoscopy, Hyperspectral imaging, Cameras, Spectroscopy, Tunable filters, Optical filters, Calibration

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Proceedings Article | 7 April 2023 Presentation + Paper

Extended depth of field imaging for mosaic hyperspectral images

Armand Rathgeb, Ling Ma, Minh Tran, Baowei Fei

Proceedings Volume 12471, 1247109 (2023) https://doi.org/10.1117/12.2653923

KEYWORDS: Hyperspectral imaging, Image quality, Image sharpness, Image restoration, Microscopes

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SPIE Journal Paper | 23 May 2022 Open Access

Unsupervised super-resolution reconstruction of hyperspectral histology images for whole-slide imaging (Errata)

Ling Ma, Armand Rathgeb, Hasan Mubarak, Minh Tran, Baowei Fei

JBO, Vol. 27, Issue 05, 059801, (May 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.5.059801

KEYWORDS: Super resolution, Hyperspectral imaging, Radiology, Precision measurement, Machine vision, Image classification, Computer vision technology

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SPIE Journal Paper | 16 May 2022 Open Access

Unsupervised super-resolution reconstruction of hyperspectral histology images for whole-slide imaging

Ling Ma, Armand Rathgeb, Hasan Mubarak, Minh Tran, Baowei Fei

JBO, Vol. 27, Issue 05, 056502, (May 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.5.056502

KEYWORDS: Hyperspectral imaging, Super resolution, RGB color model, Image classification, Image quality, Cameras, Tissues, Cancer, Image resolution, Tumors

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Proceedings Article | 4 April 2022 Presentation + Paper

Unsupervised super resolution network for hyperspectral histologic imaging

Ling Ma, Armand Rathgeb, Minh Tran, Baowei Fei

Proceedings Volume 12039, 120390P (2022) https://doi.org/10.1117/12.2611889

KEYWORDS: Hyperspectral imaging, RGB color model, Super resolution, Cameras, Image quality, Multispectral imaging, Cancer, Pathology, Microscopy, Microscopes

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Showing 5 of 9 publications

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