Dr. Douglas W. Strand Profile

Dr. Douglas W. Strand

at UT Southwestern Medical Ctr

SPIE Involvement:

Author

Publications (4)

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 | 1 April 2024 Poster + Paper

Feature extraction of ultrasound radiofrequency data for the classification of the peripheral zone of human prostate

Teja Pathour, Ling Ma, Douglas Strand, Jeffrey Gahan, Brett Johnson, Shashank Sirsi, Baowei Fei

Proceedings Volume 12932, 129321F (2024) https://doi.org/10.1117/12.3008643

KEYWORDS: Prostate, Ultrasonography, Radiomics, Feature extraction, Tissues, Tunable filters, Image segmentation, Prostate cancer, Image filtering, Acoustics

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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 Poster + Paper

Registration of hyperspectral images and mass spectrometry data for the correlation of tissue optical spectra and molecular profiles

Angie Fei, Douglas Strand, Jing Wang

Proceedings Volume 12827, 1282708 (2024) https://doi.org/10.1117/12.3007718

KEYWORDS: Mass spectrometry, Hyperspectral imaging, Tissues, Proteins, Prostate, Image registration, Molecular spectroscopy, Data acquisition, Diseases and disorders, Body composition

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