Tensor regularized total variation for third harmonic generation brain images

Zhiqing Zhang*, Marie Louise Groot, Jan C. de Munck

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Third harmonic generation (THG) microscopy is a label-free imaging technique that shows great potential to visualize brain tumor margins during surgery. However, the complexity of THG brain images makes image denoising challenging. Anisotropic diffusion filtering (ADF) has been recently applied to reconstruct the noise-free THG images, but the reconstructed edges are in fact smooth and the existing methods are time-consuming. In this work, we propose a robust and efficient scheme for ADF to overcome these drawbacks, by expressing an ADF model as a tensor regularized total variation (TRTV) model. First, the gradient magnitude of Gaussian at each point is used to estimate the first eigenvalue of the structure tensor, with which flat and non-flat areas can be distinguished. Second, tensor decomposition is performed only in non-flat areas. Third, the robust-to-outliner Huber norm is used for the data fidelity term to maintain image contrast. Finally, a recently developed primal-dual algorithm is applied to efficiently solve the resulting convex problem. Several experiments on THG brain images show promising results.

Original languageEnglish
Title of host publicationEMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017
EditorsHannu Eskola, Outi Vaisanen, Jari Viik, Jari Hyttinen
PublisherSpringer - Verlag
Pages129-132
Number of pages4
Volume65
ISBN (Electronic)978-981-10-5122-7
ISBN (Print)9789811051210
DOIs
Publication statusPublished - 1 Jan 2017
EventJoint Conference of the European Medical and Biological Engineering Conference, EMBEC 2017 and Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2107 - Tampere, Finland
Duration: 11 Jun 201715 Jun 2017

Conference

ConferenceJoint Conference of the European Medical and Biological Engineering Conference, EMBEC 2017 and Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2107
CountryFinland
CityTampere
Period11/06/1715/06/17

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Keywords

  • Anisotropic diffusion
  • Image denoising
  • Tensor regularization
  • Third harmonic generation
  • Total variation

Cite this

Zhang, Z., Groot, M. L., & de Munck, J. C. (2017). Tensor regularized total variation for third harmonic generation brain images. In H. Eskola, O. Vaisanen, J. Viik, & J. Hyttinen (Eds.), EMBEC and NBC 2017 - Joint Conference of the European Medical and Biological Engineering Conference EMBEC 2017 and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2017 (Vol. 65, pp. 129-132). Springer - Verlag. https://doi.org/10.1007/978-981-10-5122-7_33