Literature DB >> 20460203

Detection and analysis of the intestinal ischemia using visible and invisible hyperspectral imaging.

Hamed Akbari1, Yukio Kosugi, Kazuyuki Kojima, Naofumi Tanaka.   

Abstract

Intestinal ischemia, or inadequate blood flow to the intestine, is caused by a variety of disorders and conditions. The quickness with which the problem is brought to medical attention for diagnosis and treatment has great effects on the outcome of ischemic injury. Recently, hyperspectral sensors have advanced and emerged as compact imaging tools that can be utilized in medical diagnostics. Hyperspectral imaging provides a powerful tool for noninvasive tissue analyses. In this paper, the hyperspectral camera, with visible and invisible wavelengths, has been evaluated for detection and analysis of intestinal ischemia during surgeries. This technique can help the surgeon to quickly find ischemic tissues. Two cameras, a visible-to-near-infrared camera (400-1000 nm) and an infrared camera (900-1700 nm) were used to capture the hyperspectral images. Vessels supplying an intestinal segment of a pig were clamped to simulate ischemic conditions. A key wavelength range that provides the best differentiation between normal and ischemic intestine was determined from all wavelengths that potentially reduces the amount of data collected in subsequent work. The data were classified using two filters that were designed to discriminate the ischemic intestinal regions.

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Mesh:

Year:  2010        PMID: 20460203     DOI: 10.1109/TBME.2010.2049110

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  22 in total

1.  Impact of vessel diameter and bandwidth of illumination in sidestream dark-field oximetry.

Authors:  Tomohiro Kurata; Zhenguang Li; Shigeto Oda; Hiroshi Kawahira; Hideaki Haneishi
Journal:  Biomed Opt Express       Date:  2015-04-06       Impact factor: 3.732

Review 2.  Review of short-wave infrared spectroscopy and imaging methods for biological tissue characterization.

Authors:  Robert H Wilson; Kyle P Nadeau; Frank B Jaworski; Bruce J Tromberg; Anthony J Durkin
Journal:  J Biomed Opt       Date:  2015-03       Impact factor: 3.170

Review 3.  Medical hyperspectral imaging: a review.

Authors:  Guolan Lu; Baowei Fei
Journal:  J Biomed Opt       Date:  2014-01       Impact factor: 3.170

4.  Surgical Aid Visualization System for Glioblastoma Tumor Identification based on Deep Learning and In-Vivo Hyperspectral Images of Human Patients.

Authors:  Himar Fabelo; Martin Halicek; Samuel Ortega; Adam Szolna; Jesus Morera; Roberto Sarmiento; Gustavo M Callico; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2019-03-08

5.  Using the shortwave infrared to image middle ear pathologies.

Authors:  Jessica A Carr; Tulio A Valdez; Oliver T Bruns; Moungi G Bawendi
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-22       Impact factor: 11.205

Review 6.  Single-Cell Analysis Using Hyperspectral Imaging Modalities.

Authors:  Nishir Mehta; Shahensha Shaik; Ram Devireddy; Manas Ranjan Gartia
Journal:  J Biomech Eng       Date:  2018-02-01       Impact factor: 2.097

7.  Automatic 3D Segmentation of Ultrasound Images Using Atlas Registration and Statistical Texture Prior.

Authors:  Xiaofeng Yang; David Schuster; Viraj Master; Peter Nieh; Aaron Fenster; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011-03-01

8.  Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging.

Authors:  Guolan Lu; Luma Halig; Dongsheng Wang; Xulei Qin; Zhuo Georgia Chen; Baowei Fei
Journal:  J Biomed Opt       Date:  2014       Impact factor: 3.170

9.  Detecting brain tumor in pathological slides using hyperspectral imaging.

Authors:  Samuel Ortega; Himar Fabelo; Rafael Camacho; María de la Luz Plaza; Gustavo M Callicó; Roberto Sarmiento
Journal:  Biomed Opt Express       Date:  2018-01-25       Impact factor: 3.732

10.  Detection of Cancer Metastasis Using a Novel Macroscopic Hyperspectral Method.

Authors:  Hamed Akbari; Luma V Halig; Hongzheng Zhang; Dongsheng Wang; Zhuo Georgia Chen; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2012-03-23
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