Inference of Haemoglobin Concentration From Stereo RGB

التفاصيل البيبلوغرافية
العنوان:	Inference of Haemoglobin Concentration From Stereo RGB
المؤلفون:	Jones, Geoffrey, Clancy, Neil T., Helo, Yusuf, Arridge, Simon, Elson, Daniel S., Stoyanov, Danail
سنة النشر:	2016
المجموعة:	Computer Science
مصطلحات موضوعية:	Computer Science - Computer Vision and Pattern Recognition
الوصف:	Multispectral imaging (MSI) can provide information about tissue oxygenation, perfusion and potentially function during surgery. In this paper we present a novel, near real-time technique for intrinsic measurements of total haemoglobin (THb) and blood oxygenation (SO2) in tissue using only RGB images from a stereo laparoscope. The high degree of spectral overlap between channels makes inference of haemoglobin concentration challenging, non-linear and under constrained. We decompose the problem into two constrained linear sub-problems and show that with Tikhonov regularisation the estimation significantly improves, giving robust estimation of the Thb. We demonstrate by using the co-registered stereo image data from two cameras it is possible to get robust SO2 estimation as well. Our method is closed from, providing computational efficiency even with multiple cameras. The method we present requires only spectral response calibration of each camera, without modification of existing laparoscopic imaging hardware. We validate our technique on synthetic data from Monte Carlo simulation % of light transport through soft tissue containing submerged blood vessels and further, in vivo, on a multispectral porcine data set. Comment: To appear at the 6th International Conference on Medical Imaging and Augmented Reality, MIAR 2016, held in Bern, Switzerland during August 2016, and in the corresponding proceedings
نوع الوثيقة:	Working Paper
DOI:	10.1007/978-3-319-43775-0_5
URL الوصول:	http://arxiv.org/abs/1607.02936
رقم الأكسشن:	edsarx.1607.02936
قاعدة البيانات:	arXiv

الوصف
DOI:	10.1007/978-3-319-43775-0_5