title: Hyperspectral interventional imaging for enhanced tissue visualization and discrimination combining band selection methods.
abstract: OBJECTIVE
  Hyperspectral imaging is an emerging technology recently introduced in medical applications inasmuch as it provides a powerful tool for noninvasive tissue characterization. In this context, a new system was designed to be easily integrated in the operating room in order to detect anatomical tissues hardly noticed by the surgeon's naked eye.
  
  
  METHODS
  Our LCTF-based spectral imaging system is operative over visible, near- and middle-infrared spectral ranges (400-1700 nm). It is dedicated to enhance critical biological tissues such as the ureter and the facial nerve. We aim to find the best three relevant bands to create a RGB image to display during the intervention with maximal contrast between the target tissue and its surroundings. A comparative study is carried out between band selection methods and band transformation methods. Combined band selection methods are proposed. All methods are compared using different evaluation criteria.
  
  
  RESULTS
  Experimental results show that the proposed combined band selection methods provide the best performance with rich information, high tissue separability and short computational time. These methods yield a significant discrimination between biological tissues.
  
  
  CONCLUSIONS
  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.
authors.affiliation: University of Orleans, PRISME Laboratory, 63 av. de Tassigny, 18020, Bourges, France. dorra.nouri@univ-orleans.fr.
authors.forename: Dorra
authors.initials: D
authors.lastname: Nouri
authors.affiliation: University of Orleans, PRISME Laboratory, 63 av. de Tassigny, 18020, Bourges, France.
authors.forename: Yves
authors.initials: Y
authors.lastname: Lucas
authors.affiliation: University of Orleans, PRISME Laboratory, 12 rue de Blois St, 45067, Orléans, France.
authors.forename: Sylvie
authors.initials: S
authors.lastname: Treuillet
mesh_terms: D000465:Algorithms; D005154:Facial Nerve / Q000000981:diagnostic imaging* / Q000601:surgery; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D062048:Narrow Band Imaging; D010363:Pattern Recognition, Automated; D014513:Ureter / Q000000981:diagnostic imaging* / Q000601:surgery
keywords: Dimensionality reduction; Hyperspectral imaging; LCTF; SWIR; Tissue discrimination; Visualization enhancement