Highly resolved diffuse optical tomography: A systematic approach using high-pass filtering for value-preserved images

Min Cheng Pan, Chien Hung Chen, Liang Yu Chen, Min Chun Pan, Yi Ming Shyr

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

We attempt to develop a systematic scheme through adopting high-pass filtering (HPF) to well resolve value-preserved images such as medical images. Our approach is derived from the Poisson maximum a posteriori superresolution algorithm employing the HP filters, where four filters are considered such as two low-pass-filter-combination based filters, wavelet filter, and negative-oriented Laplacian HP filter. The proposed approach is incorporated into the procedure of finite-element-method (FEM)-based image reconstruction for diffuse optical tomography in the direct current domain, posterior to each iteration without altering the original FEM modeling. This approach is justified with various HPF for different cases that breast-like phantoms embedded with two or three inclusions that imitate tumors are employed to examine the resolution performances under certain extreme conditions. The proposed approach to enhancing image resolution is evaluated for all tested cases. A qualitative investigation of reconstruction performance for each case is presented. Following this, we define a set of measures on the quantitative evaluation for a range of resolutions including separation, size, contrast, and location, thereby providing a comparable evaluation to the visual quality. The most satisfactory result is obtained by using the wavelet HP filter, and it successfully justifies our proposed scheme.

Original languageEnglish
Article number024022
JournalJournal of Biomedical Optics
Volume13
Issue number2
DOIs
StatePublished - 2008

Keywords

  • diffuse optical tomography
  • finite element method
  • high-pass filtering
  • image reconstruction
  • Poisson maximum a posteriori
  • quantitative evaluation
  • superresolution algorithm

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