We developed a hyperspectral imaging system in order to enhance some biological tissue visualization. The proposed methods provided an acceptable trade-off between the evaluation criteria especially in SWIR spectral band that outperforms the naked eye's capacities.

To cite this version:Orléans cedex 2 France ABSTRACT A significant recent breakthrough in medical imaging is the development of a new non-invasive modality based on multispectral and hyperspectral imaging that can be easily integrated in the operating room. This technology consists of collecting series of images at wavelength intervals of only few nanometers and in which single pixels have spectral information content relevant to the scene under observation. Before becoming of practical interest for the clinician, such system should meet important requirements. Firstly, it should enable real reflectance measurements and high quality images to dispose of valuable physical data after spatial and spectral calibration. Secondly, quick band pass scanning and a smart interface are needed for intra-operative mode. Finally, experimentation is required to develop expert knowledge for hyperspectral image interpretation and result display on RGB screens, to assist the surgeon with tissue detection and diagnostic capabilities during an intervention. This paper is focused mainly on the two first specifications of this methodology applied to a liquid crystal tunable filter (LCTF) based visible and near infrared spectral imaging system. The system consists of an illumination unit and a spectral imager that includes a monochrome camera, two LCTFs and a fixed focal lens. It also involves a computer with the data acquisition software. The system can capture hyperspectral images in the spectral range of 400 -1100 nm. Results of preclinical experiments indicated that anatomical tissues can be distinguished especially in near infrared bands. This promises a great capability of hyperspectral imaging to bring efficient assistance for surgeons.

International audienceAccurate wound assessment is a critical task for patient care and health cost reduction at hospital but even still worse in the context of clinical studies in laboratory. This task, completely devoted to nurses, still relies on manual and tedious practices. Wound shape is measured with rules, tracing papers or rarely with alginate castings and serum injection. The wound tissues proportion is also estimated by a qualitative visual assessment based on the red-yellow-black code. Further to our preceding works on wound 3D complete assessment using a simple freehanded digital camera, we explore here the adaptation of this tool to wounds artificially created for experimentation purposes. It results that tissue uniformity and flatness leads to a simplified approach but requires multispectral imaging for enhanced wound delineation. We demonstrate that, in this context, a simple active contour method can successfully replace more complex tools such as SVM supervised classification, as no training step is required and that one shot is enough to deal with perspective projection errors. Moreover, involving all the spectral response of the tissue and not only RGB components provides a higher discrimination for separating healed epithelial tissue from granulation tissue. This research work is part of a comparative preclinical study on healing wounds. It aims to compare the efficiency of specific medical honeys with classical pharmaceuticals for wound care. Results revealed that medical honey competes with more expensive pharmaceuticals

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