Measurement optimization for Near-Infrared optical tomography

Yalavarthy Phaneendra Kumar*, Hamid Dehghani, Brian W. Pogue, Keith D. Paulsen

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The image resolution and contrast in Near-Infrared (NIR) tomographic image reconstruction is in part affected by the number of available boundary measurements. In the presented study, singular-value decomposition (SVD) of the Jacobian has been used to find the benefit of the total number of measurements that can be obtained in a two-dimensional (2D) and three-dimensional (3D) problem. Reconstructed images show an increase in improvement in the reconstructed images when the number of measurements are increased, with a central anomaly showing more improvement as compared to a more superficial one. It is also shown that given a 2D model of the domain, the increase in amount of useful data drops exponentially with an increase in total number of measurements. For 3D NIR tomography use of three fundamentally different data collection strategies are discussed and compared. It is shown that given a 3D NIR problem, using three planes of data gives more independent information compared to the single plane of data. Given a three planes of data collection fibers, it is shown that although more data can be collected in the out-of-plane data collection strategy as compared to the only in-plane case, the addition of new data does not increase image accuracy dramatically where as it increases the data collection and computation time.

Original languageEnglish
Article number12
Pages (from-to)64-73
Number of pages10
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume5693
DOIs
Publication statusPublished - 2005
EventOptical Tomography and Spectroscopy of Tissue VI - San Jose, CA, United States
Duration: 23 Jan 200526 Jan 2005

Keywords

  • Near infrared optical tomography
  • Optimization
  • Singular-value analysis

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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