Tensor regularized total variation for denoising of third harmonic generation images of brain tumors

Third harmonic generation (THG) microscopy shows great potential for instant pathology of brain tissue during surgery. However, the rich morphologies contained and the noise associated makes image restoration, necessary for quantification of the THG images, challenging. Anisotropic diffusion filteri...

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Bibliographic Details
Published in:Journal of biophotonics 2019-01, Vol.12 (1), p.e201800129-n/a
Main Authors: Zhang, Zhiqing, Groot, Marie L., de Munck, Jan C.
Format: Article
Language:English
Subjects:
anisotropic diffusion
Anisotropy
Brain
Brain cancer
Brain Neoplasms - diagnostic imaging
Brain tumors
convex optimization
Editor's Choice
Harmonic generations
Humans
Image Enhancement - methods
Image filters
Image restoration
Mathematical analysis
Microscopy
Morphology
Noise reduction
Regularization
Second Harmonic Generation Microscopy
Signal-To-Noise Ratio
Surgery
tensor regularization
Tensors
third harmonic generation
Tumors
weak edges
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Summary:Third harmonic generation (THG) microscopy shows great potential for instant pathology of brain tissue during surgery. However, the rich morphologies contained and the noise associated makes image restoration, necessary for quantification of the THG images, challenging. Anisotropic diffusion filtering (ADF) has been recently applied to restore THG images of normal brain, but ADF is hard‐to‐code, time‐consuming and only reconstructs salient edges. This work overcomes these drawbacks by expressing ADF as a tensor regularized total variation model, which uses the Huber penalty and the L1 norm for tensor regularization and fidelity measurement, respectively. The diffusion tensor is constructed from the structure tensor of ADF yet the tensor decomposition is performed only in the non‐flat areas. The resulting model is solved by an efficient and easy‐to‐code primal‐dual algorithm. Tests on THG brain tumor images show that the proposed model has comparable denoising performance as ADF while it much better restores weak edges and it is up to 60% more time efficient. Third harmonic generation (THG) microscopy is a label‐free imaging technique that shows great potential for in vivo instant pathology of human brain tissue. Here we have developed a robust and efficient image denoising method to facilitate the clinical applications of THG.
ISSN:1864-063X
1864-0648
DOI:10.1002/jbio.201800129