Application of a pixel-shifted linear interpolation technique for reducing the projection number in tomosynthesis imaging

Ryohei Fukui, Junji Shiraishi

Research output: Contribution to journalArticlepeer-review

Abstract

Tomosynthesis images are reconstructed from several projections. However, the number of projections is proportional to the exposure dose, and a reduction in the number of projections would result in a reduction of radiation dose to the patient but also degradation of image quality. The purpose of this study was to propose a new computerized method to supply interpolation images instead of real projection images for maintaining the number of projection images and image quality of reconstructed tomosynthesis images. A set of images comprising one-half the number of projection images [37 projections (Half set)], selected from the original full set of projection images [73 projections (Full set)], was used at an interval of one by one. In this study, the authors used a new linear interpolation technique (Shift-Linear method), which takes into account shifted distances between two corresponding pixels on two projection images. The image quality of tomosynthesis images reconstructed from the full set and the quasi-full projection images, which were produced from the Half set using the Shift-Linear method, was compared. Image quality was assessed in terms of modulation transfer function, noise power spectrum, contrast-to-noise ratio, and the detective quantum efficiency. Using this proposed method, the image quality of reconstructed tomosynthesis images could be maintained with the reduction of approximately 50% exposure dose.

Original languageEnglish
Pages (from-to)30-39
Number of pages10
JournalRadiological physics and technology
Volume12
Issue number1
DOIs
Publication statusPublished - Mar 20 2019
Externally publishedYes

Keywords

  • CNR
  • Interpolation
  • MTF
  • NPS
  • Number of projections
  • Tomosynthesis

ASJC Scopus subject areas

  • Radiation
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Radiology Nuclear Medicine and imaging

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