Literature DB >> 30456708

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

Ryohei Fukui1,2, Junji Shiraishi3.   

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.

Entities:  

Keywords:  CNR; Interpolation; MTF; NPS; Number of projections; Tomosynthesis

Mesh:

Year:  2018        PMID: 30456708     DOI: 10.1007/s12194-018-0488-8

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  10 in total

1.  Technical note: determination of the optimized image processing and template matching techniques for a patient intrafraction motion monitoring system.

Authors:  Hidenobu Tachibana; Yukihiro Uchida; Hisao Shiizuka
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

2.  A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis.

Authors:  Yiheng Zhang; Heang-Ping Chan; Berkman Sahiner; Jun Wei; Mitchell M Goodsitt; Lubomir M Hadjiiski; Jun Ge; Chuan Zhou
Journal:  Med Phys       Date:  2006-10       Impact factor: 4.071

3.  Comparison of interpolating methods for image resampling.

Authors:  J Parker; R V Kenyon; D E Troxel
Journal:  IEEE Trans Med Imaging       Date:  1983       Impact factor: 10.048

4.  Quantitative image quality measurements of a digital breast tomosynthesis system.

Authors:  T Olgar; T Kahn; D Gosch
Journal:  Rofo       Date:  2013-07-25

5.  Use of tomosynthesis for erosion evaluation in rheumatoid arthritic hands and wrists.

Authors:  Clarissa Canella; Peggy Philippe; Vittorio Pansini; Julia Salleron; René-Marc Flipo; Anne Cotten
Journal:  Radiology       Date:  2010-11-02       Impact factor: 11.105

6.  Comparison of patient specific dose metrics between chest radiography, tomosynthesis, and CT for adult patients of wide ranging body habitus.

Authors:  Yakun Zhang; Xiang Li; W Paul Segars; Ehsan Samei
Journal:  Med Phys       Date:  2014-02       Impact factor: 4.071

7.  Wavelet denoising for quantum noise removal in chest digital tomosynthesis.

Authors:  Tsutomu Gomi; Masahiro Nakajima; Tokuo Umeda
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-04-20       Impact factor: 2.924

8.  Tomosynthesis: a three-dimensional radiographic imaging technique.

Authors:  D G Grant
Journal:  IEEE Trans Biomed Eng       Date:  1972-01       Impact factor: 4.538

9.  Computer-aided detection system for breast masses on digital tomosynthesis mammograms: preliminary experience.

Authors:  Heang-Ping Chan; Jun Wei; Berkman Sahiner; Elizabeth A Rafferty; Tao Wu; Marilyn A Roubidoux; Richard H Moore; Daniel B Kopans; Lubomir M Hadjiiski; Mark A Helvie
Journal:  Radiology       Date:  2005-10-19       Impact factor: 11.105

10.  Chest tomosynthesis: technical principles and clinical update.

Authors:  James T Dobbins; H Page McAdams
Journal:  Eur J Radiol       Date:  2009-07-18       Impact factor: 3.528

  10 in total

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