Wavelet-domain de-noising of OCT images of human brain malignant glioma

We have proposed a wavelet-domain de-noising technique for imaging of human brain malignant glioma by optical coherence tomography (OCT). It implies OCT image decomposition using the direct fast wavelet transform, thresholding of the obtained wavelet spectrum and further inverse fast wavelet transform for image reconstruction. By selecting both wavelet basis and thresholding procedure, we have found an optimal wavelet filter, which application improves differentiation of the considered brain tissue classes – i.e. malignant glioma and normal/intact tissue. Namely, it allows reducing the scattering noise in the OCT images and retaining signal decrement for each tissue class. Therefore, the observed results reveals the wavelet-domain de-noising as a prospective tool for improved characterization of biological tissue using the OCT.

[1]  Orly Liba,et al.  Quantitative contrast-enhanced optical coherence tomography. , 2016, Applied physics letters.

[2]  A. A. Potapov,et al.  Laser biospectroscopy and 5-ALA fluorescence navigation as a helpful tool in the meningioma resection , 2016, Neurosurgical Review.

[3]  E. Halpern,et al.  Characterization of Human Atherosclerosis by Optical Coherence Tomography , 2002, Circulation.

[4]  Valery V. Tuchin,et al.  WAVELET-BASED ANALYSIS OF CEREBROVASCULAR DYNAMICS IN NEWBORN RATS WITH INTRACRANIAL HEMORRHAGES , 2014 .

[5]  Maciej Wojtkowski,et al.  High-speed optical coherence tomography: basics and applications. , 2010, Applied optics.

[6]  Igor Meglinski,et al.  Application of wavelet analysis in optical coherence tomography for obscured pattern recognition , 2009 .

[7]  A. Fercher,et al.  Optical coherence tomography - principles and applications , 2003 .

[8]  Anastasia V. Ryabova,et al.  Hiding in the Shadows: CPOX Expression and 5-ALA Induced Fluorescence in Human Glioma Cells , 2016, Molecular Neurobiology.

[9]  Todd C. Hollon,et al.  Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy , 2017, Nature Biomedical Engineering.

[10]  Ruikang K. Wang,et al.  Review of optical coherence tomography based angiography in neuroscience , 2016, Neurophotonics.

[11]  David L. Donoho,et al.  De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.

[12]  A. Podoleanu,et al.  Investigation of basal cell carcinoma using dynamic focus optical coherence tomography. , 2013, Applied optics.

[13]  何勇,et al.  Rapid and high-resolution imaging of human liver specimens by full-field optical coherence tomography , 2015 .

[14]  Milan Sonka,et al.  Quantitative analysis of retinal OCT , 2016, Medical Image Anal..

[15]  Michelle Cua,et al.  Retinal optical coherence tomography at 1  μm with dynamic focus control and axial motion tracking , 2016, Journal of biomedical optics.

[16]  V. V. Tuchin,et al.  Optical Clearing for OCT Image Enhancement and In-Depth Monitoring of Molecular Diffusion , 2012, IEEE Journal of Selected Topics in Quantum Electronics.

[17]  I. Johnstone,et al.  Ideal spatial adaptation by wavelet shrinkage , 1994 .

[18]  David A. Boas,et al.  as-PSOCT: Volumetric microscopic imaging of human brain architecture and connectivity , 2018, NeuroImage.

[19]  Jadwiga Rogowska,et al.  Image processing techniques for noise removal, enhancement and segmentation of cartilage OCT images. , 2002, Physics in medicine and biology.

[20]  B. Devaux,et al.  Imaging of non-tumorous and tumorous human brain tissues with full-field optical coherence tomography☆ , 2013, NeuroImage: Clinical.

[21]  J. Fujimoto.  Optical coherence tomography for ultrahigh resolution in vivo imaging , 2003, Nature Biotechnology.

[22]  David Alonso-Caneiro,et al.  Speckle reduction in optical coherence tomography imaging by affine-motion image registration. , 2011, Journal of biomedical optics.

[23]  Wolfgang Heidrich,et al.  Statistical model for OCT image denoising. , 2017, Biomedical optics express.

[24]  Sang-Hoon Kim,et al.  Terahertz reflectometry imaging for low and high grade gliomas , 2016, Scientific Reports.

[25]  Joachim Hornegger,et al.  Wavelet denoising of multiframe optical coherence tomography data , 2012, Biomedical optics express.

[26]  Valery V. Tuchin,et al.  Laser speckle imaging and wavelet analysis of cerebral blood flow associated with the opening of the blood–brain barrier by sound , 2017 .

[27]  Bawarjan Schatlo,et al.  Outcomes after combined use of intraoperative MRI and 5-aminolevulinic acid in high-grade glioma surgery , 2015, Neuro-oncology.

[28]  J. Welzel.  Optical coherence tomography in dermatology: a review , 2001, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[29]  Jesse V. Jokerst,et al.  A Brain Tumor Molecular Imaging Strategy Using A New Triple-Modality MRI-Photoacoustic-Raman Nanoparticle , 2011, Nature Medicine.

[30]  J. Fujimoto,et al.  In vivo ultrahigh-resolution optical coherence tomography. , 1999, Optics letters.

[31]  Volker Seifert,et al.  Intraoperative MRI guidance and extent of resection in glioma surgery: a randomised, controlled trial. , 2011, The Lancet. Oncology.

[32]  Christoph K. Hitzenberger,et al.  Spectroscopic imaging with spectral domain visible light optical coherence microscopy in Alzheimer’s disease brain samples , 2017, Biomedical optics express.

[33]  Karl Roessler,et al.  Intraoperative tissue fluorescence using 5-aminolevolinic acid (5-ALA) is more sensitive than contrast MRI or amino acid positron emission tomography (18F-FET PET) in glioblastoma surgery , 2012, Neurological research.

[34]  Marina A. Sirotkina,et al.  Multimodal optical coherence tomography for in vivo imaging of brain tissue structure and microvascular network at glioblastoma , 2017, BiOS.

[35]  Valery V. Tuchin,et al.  Handbook of Coherent-Domain Optical Methods , 2013 .

[36]  Ton G van Leeuwen,et al.  Prostate cancer diagnosis: the feasibility of needle-based optical coherence tomography , 2015, Journal of medical imaging.

[37]  Martin R. Hofmann,et al.  Ex vivo brain tumor analysis using spectroscopic optical coherence tomography , 2016, SPIE BiOS.

[38]  J. Fujimoto,et al.  Speckle reduction in optical coherence tomography images by use of a spatially adaptive wavelet filter. , 2004, Optics letters.

[39]  Meng-Tsan Tsai,et al.  Differentiation of oral precancerous stages with optical coherence tomography based on the evaluation of optical scattering properties of oral mucosae , 2013, Laser Physics.

[40]  M Yu Kirillin,et al.  Identification of layers in optical coherence tomography of skin: comparative analysis of experimental and Monte Carlo simulated images , 2015, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

[41]  Christos Trantakis,et al.  Investigation of time-dependency of intracranial brain shift and its relation to the extent of tumor removal using intra-operative MRI , 2003, Neurological research.

[42]  Ilya V Turchin,et al.  Optical coherence tomography for in situ monitoring of laser corneal ablation. , 2002, Journal of biomedical optics.

[43]  Valery V Tuchin,et al.  Polarized light interaction with tissues , 2016, Journal of biomedical optics.

[44]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[45]  Audrey K. Ellerbee,et al.  Label-free characterization of vitrification-induced morphology changes in single-cell embryos with full-field optical coherence tomography , 2015, Journal of biomedical optics.

[46]  Jichai Jeong,et al.  Effective speckle noise suppression in optical coherence tomography images using nonlocal means denoising filter with double Gaussian anisotropic kernels , 2015 .

[47]  Aydogan Ozcan,et al.  Speckle reduction in optical coherence tomography images using digital filtering. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[48]  H. Banerjee,et al.  Intraoperative brain cancer detection with Raman spectroscopy in humans. , 2016, Annals of translational medicine.

[49]  J. Duker,et al.  Imaging of macular diseases with optical coherence tomography. , 1995, Ophthalmology.

[50]  Emma Pickwell-MacPherson,et al.  Gelatin embedding: a novel way to preserve biological samples for terahertz imaging and spectroscopy , 2015, Physics in medicine and biology.

[51]  Seiji Yamamoto,et al.  Brain tumor imaging of rat fresh tissue using terahertz spectroscopy , 2016, Scientific Reports.

[52]  J. Schuman,et al.  Optical coherence tomography. , 2000, Science.

[53]  E. McVeigh,et al.  Detection of human brain cancer infiltration ex vivo and in vivo using quantitative optical coherence tomography , 2015, Science Translational Medicine.

[54]  J. Fujimoto,et al.  In vivo endoscopic optical biopsy with optical coherence tomography. , 1997, Science.

[55]  T. V. van Leeuwen,et al.  OCT Amplitude and Speckle Statistics of Discrete Random Media , 2017, Scientific Reports.

[56]  J. Barnholtz-Sloan,et al.  CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2009-2013. , 2016, Neuro-oncology.

[57]  Valery V. Tuchin,et al.  Tissue Optics and Photonics: Biological Tissue Structures , 2015 .

[58]  Michael I. Mishchenko.  Tissue Optics: Light Scattering Methods and Instruments for Medical Diagnostics, 2nd ed, V. Tuchin. SPIE Press, Bellingham, WA (2007), Hardbound, ISBN 0-8194-6433-3, xl+841pp , 2009 .