Enhanced diffuse optical tomographic reconstruction using concurrent ultrasound information

Philos Trans A Math Phys Eng Sci. 2021 Aug 23;379(2204):20200195. doi: 10.1098/rsta.2020.0195. Epub 2021 Jul 5.

Abstract

Multimodal imaging is an active branch of research as it has the potential to improve common medical imaging techniques. Diffuse optical tomography (DOT) is an example of a low resolution, functional imaging modality that typically has very low resolution due to the ill-posedness of its underlying inverse problem. Combining the functional information of DOT with a high resolution structural imaging modality has been studied widely. In particular, the combination of DOT with ultrasound (US) could serve as a useful tool for clinicians for the formulation of accurate diagnosis of breast lesions. In this paper, we propose a novel method for US-guided DOT reconstruction using a portable time-domain measurement system. B-mode US imaging is used to retrieve morphological information on the probed tissues by means of a semi-automatical segmentation procedure based on active contour fitting. A two-dimensional to three-dimensional extrapolation procedure, based on the concept of distance transform, is then applied to generate a three-dimensional edge-weighting prior for the regularization of DOT. The reconstruction procedure has been tested on experimental data obtained on specifically designed dual-modality silicon phantoms. Results show a substantial quantification improvement upon the application of the implemented technique. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 2'.

Keywords: inverse problems; optical; ultrasound.

MeSH terms

  • Algorithms
  • Breast Neoplasms / diagnostic imaging
  • Female
  • Fourier Analysis
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / statistics & numerical data*
  • Imaging, Three-Dimensional / statistics & numerical data
  • Linear Models
  • Multimodal Imaging / statistics & numerical data*
  • Phantoms, Imaging
  • Tomography, Optical / statistics & numerical data*
  • Ultrasonography / statistics & numerical data*