Specific computed virtual chromoendoscopy for detection of peritoneal carcinomatosis: an animal study

Najah, H.; Jouvin, I.; Besbes, Sonia; Cifuentes, Diana; Eveno, Clarisse; Pocard, Marc

doi:10.1007/s00464-017-5442-z

Cited by 2 publications

(1 citation statement)

References 34 publications

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“…The field of laparoscopic imaging has evolved much through the efforts of various research groups in many areas, leading to advanced state-of-the-art systems including augmented/mixed reality capable systems [10][11][12][13][14][15][16][17][18][19][20][21][22][23], which further subdivides into hyperspectral imaging (HSI) systems [24][25][26][27][28][29][30][31][32][33][34][35] and combinatory operative imaging systems [36][37][38], dual/multi modal systems [39][40][41][42][43], and high speed hyperspectral systems [44]. Each system seeks to improve the current capabilities of surgical imaging in laparoscopic procedures by providing additional diagnostic data as well as methods for interpreting that data.…”

Section: Introductionmentioning

confidence: 99%

A high-speed hyperspectral laparoscopic imaging system

Pruitt

Johnson

Gahan

et al. 2023

Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling

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Minimally invasive surgery (MIS) has expanded broadly in the field of abdominal and pelvic surgery. Laparoscopic and robotic surgery has improved surgeon ergonomics, instrument precision, operative time, and postoperative recovery across various abdominal procedures. The goal of this study is to establish the feasibility of implementing high-speed hyperspectral imaging into a standard laparoscopic setup and exploring its benefit to common intracorporeal procedures. A hyperspectral laparoscopic imaging system was constructed using a customized hyperspectral camera alongside a standard rigid laparoscope and was validated for both spectral and spatial accuracy. Demosaicing methods were investigated for improved full-resolution visualization. Hyperspectral cameras with different spectral ranges were considered and compared with one another alongside two different light sources to determine the most effective configuration. Finally, different porcine tissues were imaged ex-vivo to test the capabilities of the system and spectral footprints of the various tissues were extracted. The tissue was also imaged in a phantom to simulate the system's use in MIS. The results demonstrated a hyperspectral laparoscopic imaging system that could provide quantitative, diagnostic information while not disrupting normal workflow nor adding excessive weight to the laparoscopic setup. The high-speed hyperspectral laparoscopic imaging system can have immediate applications in image-guided surgery.

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