Mr. Kelden Thomas Pruitt Profile

Kelden Thomas Pruitt

at Univ of Texas at Dallas

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Author

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 | 2 April 2024 Presentation + Paper

A hyperspectral surgical microscope with super-resolution reconstruction for intraoperative image guidance

Ling Ma, Kelden Pruitt, Baowei Fei

Proceedings Volume 12930, 129300Z (2024) https://doi.org/10.1117/12.3008789

KEYWORDS: Hyperspectral imaging, Cameras, Super resolution, Microscopes, Image restoration, Tissues, Image acquisition, Image quality, Medical image reconstruction, Convolutional neural networks, Deep learning

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Proceedings Article | 29 March 2024 Presentation + Paper

Dense surface reconstruction using a learning-based monocular vSLAM model for laparoscopic surgery

James Yu, Kelden Pruitt, Nati Nawawithan, Brett Johnson, Jeffrey Gahan, Baowei Fei

Proceedings Volume 12928, 129280J (2024) https://doi.org/10.1117/12.3008768

KEYWORDS: Laparoscopy, Cameras, Light sources and illumination, Video, 3D modeling, Surgery, Education and training, Depth maps, Tissues, Reconstruction algorithms

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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 | 29 March 2024 Presentation + Paper

Dual-camera laparoscopic imaging with super-resolution reconstruction for intraoperative hyperspectral image guidance

Ling Ma, Kelden Pruitt, Baowei Fei

Proceedings Volume 12928, 129280I (2024) https://doi.org/10.1117/12.3006573

KEYWORDS: Hyperspectral imaging, Cameras, Laparoscopy, Super resolution, Image restoration, Tissues, Imaging systems, Medical image reconstruction, Convolutional neural networks, Deep learning

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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 | 13 March 2024 Presentation + Paper

A high-resolution hyperspectral imaging system for the retina

Minh Ha Tran, Michelle Bryarly, Kelden Pruitt, Ling Ma, Baowei Fei

Proceedings Volume 12836, 1283604 (2024) https://doi.org/10.1117/12.3001647

KEYWORDS: Hyperspectral imaging, Retina, Imaging systems, Cameras, Retinal scanning, Tunable filters

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Proceedings Article | 12 March 2024 Poster + Paper

Optimization of a real-time LED based spectral imaging system

Kelden Pruitt, Naeeme Modir, Nati Nawawithan, Minh Tran, Baowei Fei

Proceedings Volume 12853, 128530D (2024) https://doi.org/10.1117/12.3005452

KEYWORDS: Light emitting diodes, Imaging systems, Light sources and illumination, Prototyping, Endoscopy, Cameras, Design, Sensors, Hyperspectral imaging, Mathematical optimization

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±We are designing a real-time spectral imaging system using micro-LEDs and a high-speed micro-camera for potential endoscopic applications. Currently, gastrointestinal (GI) endoscopic imaging has largely been limited to white light imaging (WLI), while other endoscopic approaches have seen advancements in imaging techniques including fluorescence imaging, narrow-band imaging, and stereoscopic visualization. To further advance GI endoscopic imaging, we are working towards a high-speed spectral imaging system that can be implemented with a chip-on-tip design for a flexible endoscope. Hyperspectral imaging has potential applications in a variety of imaging procedures with its ability to discern spectral footprints of the imaging field in a series of two-dimensional images at different wavelengths. For investigating the feasibility of a real-time LED-based hyperspectral imaging system for endoscopic applications we designed and developed a large-scale prototype using through-hole LEDs, which is further analyzed as we design our future system. For high quality imaging, the LED array must be designed with the specific illumination patterns and intensities of each LED considered. We present our work in optimizing our current LED array through optical simulations performed in silico. Damped least squares and orthogonal descent algorithms are implemented to maximize irradiance power and improve illumination homogeneity at several working distances by adjusting radial distances of each LED from the camera. With our prototype LED-based hyperspectral imaging system, the simulation and optimization approach achieved an average increase of 8.36 ± 8.79% in irradiance and a 4.3% decrease in standard deviation at multiple working distances and field-of-views for each LED, as compared to the original design, leading to improved image quality and maintained acquisition speeds. This work highlights the value of in silico optical simulation and provides a framework for improved optical system design and will inform design decisions in future works.

Proceedings Article | 3 April 2023 Presentation + Paper

A high-speed hyperspectral laparoscopic imaging system

Kelden Pruitt, Brett Johnson, Jeffrey Gahan, Ling Ma, Baowei Fei

Proceedings Volume 12466, 1246608 (2023) https://doi.org/10.1117/12.2653922

KEYWORDS: Tissues, Imaging systems, Reflectivity, Laparoscopy, Hyperspectral imaging, Cameras, Spatial resolution, Calibration, Liver, Kidney

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Showing 5 of 9 publications

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