A quantitative line-scan image analysis method for colonoscopy diagnosis using FICE

This paper presents a quantitative image analysis technique for colonoscopy diagnosis to distinguish abnormal lesions, especially for using Fuji Intelligent Chromo Endoscopy (FICE). We take the color histogram technique and gray level co-occurrence matrix (GLCM) into account, and proposed an efficient line-scan method for observing early and small tumor during minute diagnosis. The line-scan method is based on semimanual image horizontal line selection of colonoscopy video, then the color histogram index, contrast, energy, homogeneity and entropy are calculated via GLCM matrix of the selection image area. Thus, the method leads the FICE images measurable and provides a view to accelerate and enhance physician to determine the lesions quickly. The results show that the proposed line-scan method significantly evaluates the diagnosis images for the real patient experiments.

[1]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[2]  Kazuhide Yamamoto,et al.  SANO'S CAPILLARY PATTERN CLASSIFICATION FOR NARROW‐BAND IMAGING OF EARLY COLORECTAL LESIONS , 2011, Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society.

[3]  Gang Li,et al.  Image quality evaluation of infrared image , 2005, SPIE/COS Photonics Asia.

[4]  Yu Bai,et al.  Evolution of gastrointestinal endoscopy in the mainland of China. , 2009, Chinese medical journal.

[5]  Hideaki Haneishi,et al.  Improved Color Reproduction of Electronic Endoscopes , 1995, International Conference on Communications in Computing.

[6]  A. Bansal,et al.  The utility of a novel narrow band imaging endoscopy system in patients with Barrett's esophagus. , 2005, Gastrointestinal endoscopy.

[7]  R. Kiesslich,et al.  In vivo histology of Barrett's esophagus and associated neoplasia by confocal laser endomicroscopy. , 2005, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[8]  Takeo Odaka,et al.  Objective Evaluation of the Visibility On FICE Images Using a Color Difference Formula , 2009 .

[9]  Young Sun Kim,et al.  Efficacy of computed virtual chromoendoscopy on colorectal cancer screening: a prospective, randomized, back-to-back trial of Fuji Intelligent Color Enhancement versus conventional colonoscopy to compare adenoma miss rates. , 2010, Gastrointestinal endoscopy.

[10]  N. Xu,et al.  Fuji Intelligent Chromo Endoscopy and staining technique for the diagnosis of colon tumor. , 2008, Chinese medical journal.

[11]  Y. Kumagai,et al.  Magnifying chromoendoscopy of the esophagus: in-vivo pathological diagnosis using an endocytoscopy system. , 2004, Endoscopy.

[12]  C Bellman,et al.  Fundus autofluorescence and development of geographic atrophy in age-related macular degeneration. , 2001, Investigative ophthalmology & visual science.

[13]  Lucia Ballerini,et al.  IEEE International Symposium on Intelligent Signal Processing and Communication Systems , 1999 .

[14]  S. Kudo,et al.  Diagnosis of colorectal tumorous lesions by magnifying endoscopy. , 1996, Gastrointestinal endoscopy.

[15]  Saman Nazarian,et al.  Direct visualization of coronary sinus ostium and branches with a flexible steerable fiberoptic infrared endoscope. , 2005, Heart rhythm.

[16]  F. Parmiggiani,et al.  An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Andrea Baraldi,et al.  An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Shinji Tanaka,et al.  PIT PATTERN DIAGNOSIS FOR COLORECTAL NEOPLASIA USING NARROW BAND IMAGING MAGNIFICATION , 2006 .

[19]  M. Wallace,et al.  A comparison of high definition-image enhanced colonoscopy and standard white-light colonoscopy for colorectal polyp detection , 2011, Endoscopy.

[20]  K. Chayama,et al.  Quantitative analysis and development of a computer-aided system for identification of regular pit patterns of colorectal lesions. , 2010, Gastrointestinal endoscopy.

[21]  Michael Vieth,et al.  In vivo histology of Barrett's esophagus and associated neoplasia by confocal laser endomicroscopy. , 2006, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[22]  Fionn Murtagh,et al.  Gray and color image contrast enhancement by the curvelet transform , 2003, IEEE Trans. Image Process..

[23]  H. Tajiri,et al.  Magnifying Endoscopy Combined with Narrow Band Imaging System for Early Gastric Cancer: Correlation of Vascular Pattern with Histopathology (including video) , 2004, Endoscopy.