DocumentCode :
249633
Title :
Infrared hyperspectral imaging for enhanced tissue visualization and discrimination during surgical operation
Author :
Nouri, Dorra ; Lucas, Yves ; Treuillet, Sylvie
Author_Institution :
PRISME Lab., Univ. of Orleans, Orleans, France
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
5137
Lastpage :
5141
Abstract :
A new hyperspectral imaging system has been designed in infrared 950 nm-1700 nm spectral range to be integrated in operating rooms in order to detect some vital and anatomical tissues, hardly noticeable by the surgeon´s naked eye during surgical interventions. The main objective of this exploratory study is to find the best three relevant bands to create a RGB image that maximizes the contrast between the target tissue and its surroundings. One of the main challenges in HSI processing is the dimensionality reduction step which was carried out using band transformation and band selection methods in order to remove redundancy in the collected data without losing valuable information. Preclinical experiments were performed in vivo in a porcine ureter. Objective and comparative evaluations, based on the simulated perceived image, were performed between five methods. Experimental results show that the proposed method that combines two band selection methods has the best performance to enhance surgeon´s visual skills.
Keywords :
biological tissues; biomedical optical imaging; hyperspectral imaging; image enhancement; infrared imaging; medical image processing; optimisation; surgery; HSI processing; RGB image; anatomical tissues; band selection methods; band transformation; collected data; dimensionality reduction step; enhanced tissue discrimination; enhanced tissue visualization; image enhancement; infrared hyperspectral imaging; maximization; porcine ureter; simulated perceived image; surgical interventions; surgical operation; two-band selection methods; vital tissues; wavelength 950 nm to 1700 nm; Hyperspectral imaging; Principal component analysis; Silicon; Surgery; Visualization; Hyperspectral imaging; Short Wave Infrared SWIR; dimensionality reduction; operating room; surgical intervention; visualization enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7026040
Filename :
7026040
Link To Document :
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