Region-of-interest tomography using multiresolution interpolation

Pak Kong Lun, TaiChiu Hsung

Research output: Journal article publicationConference articleAcademic researchpeer-review

4 Citations (Scopus)


The wavelet localization technique was recently applied to the application of Region-of-Interest tomography. It achieves a significant saving in the required projections if only a small region of a tomographic image is of interest. In this paper, we firstly show that, with the same sampling requirement, a simple interpolation scheme applied on the samples can give a result at least as good as that achieved by using the wavelet localization approach. It means that we can use a much simple approach to achieve the same performance. Second, we propose a new sampling scheme such that the required projections of each angle are further reduced in a multiresolution form. With this sampling scheme, more than 84% of projections are saved to reconstruct a 32×32 pixels region of a 256×256 pixels image. The signal-to-error ratio of the reconstructed region-of-interest is over 50 dB as compare with the case of full projection. Moreover, we also investigate the effect of applying the interlaced sampling scheme on the proposed method. It is seen that a further reduction in the sampling requirement can be achieved although a slight decrease in signal-to-error ratio may result.
Original languageEnglish
Pages (from-to)2825-2828
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 1 Jan 1997
EventProceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5) - Munich, Germany
Duration: 21 Apr 199724 Apr 1997

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

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