Instrumentation considerations in spectral imaging for tissue demarcation: comparing three methods of spectral resolution

Multiple methodologies exist to implement spectral imaging for tissue demarcation and disease diagnosis. In this paper, benchtop acousto-optic tunable filter (AOTF), liquid-crystal tunable filter (LCTF) and Fourier interferometric spectral imaging systems were quantitatively compared in terms of imaging speed of soft tissue autofluorescence. Optical throughput, image signal-to-noise ratio (SNR), and collagen autofluorescence imaging in chicken breast were assessed. Within this comparison, the Fourier system possessed the largest optical throughput (~50%) relative to the tunable-filter imaging systems; however, its throughput advantage failed to correlate to improved image SNR over the LCTF system. Further, while the autofluorescence imaging capability of the Fourier system exceeded that of the LCTF system for comparable total image integration times, the LCTF is capable of producing equivalent autofluorescence SNR with superior SNR when interrogations at only a few wavelengths are required and the random access filter tuning of the LCTF can be exploited. Therefore, the simple, rugged design and random-access filter-tuning capability of LCTF-based spectral imaging makes it best-suited for clinical development of soft tissue autofluorescence imaging.

[1]  M A D'Hallewin,et al.  Fluorescence imaging of bladder cancer. , 1994, Acta urologica Belgica.

[2]  K Svanberg,et al.  Preliminary evaluation of two fluorescence imaging methods for the detection and the delineation of basal cell carcinomas of the skin , 2000, Lasers in surgery and medicine.

[3]  C. Rothmann,et al.  Spectral Imaging of MC540 During Murine and Human Colon Carcinoma Cell Differentiation , 2001, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[4]  H Stepp,et al.  Autofluorescence imaging and spectroscopy of normal and malignant mucosa in patients with head and neck cancer , 1999, Lasers in surgery and medicine.

[5]  O Khait,et al.  Multispectral imaging microscope with millisecond time resolution. , 2001, Analytical chemistry.

[6]  M S Feld,et al.  Remote biomedical spectroscopic imaging of human artery wall , 1988, Lasers in surgery and medicine.

[7]  E. Sevick-Muraca,et al.  Quantitative optical spectroscopy for tissue diagnosis. , 1996, Annual review of physical chemistry.

[8]  D. Ben‐Amotz,et al.  Optical Absorption and Fluorescence Spectral Imaging Using Fiber Bundle Image Compression , 1999 .

[9]  H. Mantsch,et al.  Visible-near infrared multispectral imaging of the rat dorsal skin flap. , 1999, Journal of biomedical optics.

[10]  R. Richards-Kortum,et al.  Optical spectroscopy for detection of neoplasia. , 2002, Current opinion in chemical biology.

[11]  Chieu D. Tran Development and analytical applications of multispectral imaging techniques: An overview , 2001 .

[12]  Britton Chance,et al.  Fast and noninvasive fluorescence imaging of biological tissues in vivo using a flying-spot scanner , 2001, IEEE Transactions on Biomedical Engineering.

[13]  Shengming Xiong,et al.  Fluorescence spectral imaging for characterization of tissue based on multivariate statistical analysis. , 2002, Journal of the Optical Society of America. A, Optics, image science, and vision.

[14]  B W Chwirot,et al.  Detection of melanomas by digital imaging of spectrally resolved ultraviolet light-induced autofluorescence of human skin. , 1998, European journal of cancer.

[15]  C. Balas,et al.  A novel optical imaging method for the early detection, quantitative grading, and mapping of cancerous and precancerous lesions of cervix , 2001, IEEE Transactions on Biomedical Engineering.

[16]  P Jackson,et al.  A unique charge‐coupled device/xenon arc lamp based imaging system for the accurate detection and quantitation of multicolour fluorescence , 2001, Electrophoresis.

[17]  L H Kidder,et al.  Imaging of collagen and proteoglycan in cartilage sections using Fourier transform infrared spectral imaging. , 2001, Arthritis and rheumatism.

[18]  I. Bigio,et al.  Spectrroscopic Sensing of Cancer and Cancer Therapy: Current Status of Translational Research , 2004, Cancer biology & therapy.

[19]  N. Ramanujam Fluorescence spectroscopy of neoplastic and non-neoplastic tissues. , 2000, Neoplasia.

[20]  W Sibbett,et al.  The Application of a Compact Multispectral Imaging System with Integrated Excitation Source to In vivo Monitoring of Fluorescence During Topical Photodynamic Therapy of Superficial Skin Cancers ¶ , 2001, Photochemistry and photobiology.