Hyperspectral fluorescence imaging for mouse skin tumor detection

被引:38
作者
Kong, Seong G. [1 ]
Martin, Matthew E.
Vo-Dinh, Tuan
机构
[1] Univ Tennessee, Dept Elect & Comp Engn, Knoxville, TN 37996 USA
[2] Oak Ridge Natl Lab, Div Life Sci, Oak Ridge, TN USA
关键词
hyperspectral imaging; skin tumor detection; fluorescence; medical diagnostics; acousto-optic tunable filter;
D O I
10.4218/etrij.06.0106.0061
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a hyperspectral imaging technique based on laser-induced fluorescence for non-invasive detection of tumorous tissue on mouse skin. Hyperspectral imaging sensors collect image data in a number of narrow, adjacent spectral bands. Such high-resolution measurement of spectral information reveals contiguous emission spectra at each image pixel useful for the characterization of constituent materials. The hyperspectral image data used in this study are fluorescence images of mouse skin consisting of 21 spectral bands in the visible spectrum of the wavelengths ranging from 440 nm to 640 nm. Fluorescence signal is measured with the use of laser excitation at 337 nm. An acousto-optic tunable filter (AOTF) is used to capture images at 10 nm intervals. All spectral band images are spatially registered with the reference band image at 490 tun to obtain exact pixel correspondences by compensating the spatial offsets caused by the refraction differences in AOTF at different wavelengths during the image capture procedure. The unique fluorescence spectral signatures demonstrate a good separation to differentiate malignant tumors from normal tissues for rapid detection of skin cancers without biopsy.
引用
收藏
页码:770 / 776
页数:7
相关论文
共 16 条
[1]  
Albers B., 1995, BIOPHOTONICS, V2, P42
[2]  
*AM CANC SOC, 2002, CANC FACTS FIG
[3]   Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm [J].
Bashkatov, AN ;
Genina, EA ;
Kochubey, VI ;
Tuchin, VV .
JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2005, 38 (15) :2543-2555
[4]   A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification [J].
Chang, CI ;
Du, Q ;
Sun, TL ;
Althouse, MLG .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1999, 37 (06) :2631-2641
[5]  
CHANG IC, 1992, P SOC PHOTO-OPT INS, V1703, P24, DOI 10.1117/12.138427
[6]  
Chao K, 2002, APPL ENG AGRIC, V18, P113
[7]   Multispectral and hyperspectral imaging with AOTF for object recognition [J].
Gupta, N ;
Dahmani, R .
ADVANCES IN COMPUTER-ASSISTED RECOGNITION, 1999, 3584 :128-135
[8]   Analysis of hyperspectral fluorescence images for poultry skin tumor inspection [J].
Kong, SG ;
Chen, YR ;
Kim, I ;
Kim, MS .
APPLIED OPTICS, 2004, 43 (04) :824-833
[9]   Hyperspectral image data analysis [J].
Landgrebe, D .
IEEE SIGNAL PROCESSING MAGAZINE, 2002, 19 (01) :17-28
[10]   An AOTF-based dual-modality hyperspectral imaging system (DMHSI) capable of simultaneous fluorescence and reflectance imaging [J].
Martin, ME ;
Wabuyele, M ;
Panjehpour, M ;
Overholt, B ;
DeNovo, R ;
Kennel, S ;
Cunningham, G ;
Vo-Dinh, T .
MEDICAL ENGINEERING & PHYSICS, 2006, 28 (02) :149-155