Challenges in automated estimation of capillary refill time in dogs

Blaž Cugmas; Janis Spigulis

doi:10.1117/12.2284794

20 February 2018 Challenges in automated estimation of capillary refill time in dogs

Blaž Cugmas, Janis Spigulis

Proceedings Volume 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics; 1050117 (2018) https://doi.org/10.1117/12.2284794
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Capillary refill time (CRT) is a part of the cardiorespiratory examination in dogs. Changes in CRT can reflect pathological conditions like shock or anemia. Visual CRT estimation has low repeatability; therefore, optical systems for automated estimation have recently appeared. Since existing systems are unsuitable for use in dogs, we designed a simple, small and portable device, which could be easily used at veterinary clinic. The device was preliminarily tested on several measurement sites in two dogs. Not all measurement sites were suitable for CRT measurements due to underlying tissue optical and mechanical properties. The CRT measurements were possible on the labial mucosa, above the sternum and on the digit where CRT was in the range of values, retrieved from the color video of the visual CRT measurement. It seems that light penetration predominantly governs tissue optical response when the pressure is applied. Therefore, it is important to select a proper light, which reaches only superficial capillaries and does not penetrate deeper. Blue or green light is probably suitable for light skin or mucosa, on the other hand, red or near-infrared might be used for skin with pigmented or thick epidermis. Additionally, further improvements of the device design are considered, like adding a calibrated spring, which would insure application of consistent pressure.

Citation Download Citation

Blaž Cugmas and Janis Spigulis "Challenges in automated estimation of capillary refill time in dogs", Proc. SPIE 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, 1050117 (20 February 2018); https://doi.org/10.1117/12.2284794

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