Literature DB >> 7033756

A method for selective tissue and bone visualization using dual energy scanned projection radiography.

W R Brody, G Butt, A Hall, A Macovski.   

Abstract

Information contained in the x-ray energy spectrum can be used to produce selective radiographic images of bone or soft tissue. A method has been devised to separate bone and soft tissue based upon differences in photoelectric absorption and Compton scattering using an appropriate combination of images obtained with radiographic exposures at 70 KVP and 140 KVP. Since photoelectric absorption is highly dependent upon atomic number, high atomic number materials such as calcium can be easily separated from water density substances. Using a prototype system for line-scanned radiography, selective subtraction of bone or soft-tissue has been implemented. Because this method uses a conventional broad-spectrum x-ray source, it was necessary to develop a nonlinear polynomial approximation to estimate tissue and bone thickness. The model was verified with phantom studies using water and aluminum. The application of this dual-energy bone and soft-tissue separation to chest radiography is demonstrated. This method allows accurate estimation of tissue and bone thickness and should find application to chest radiography for improved lesion detection and for bone mineral assessment.

Entities:  

Mesh:

Year:  1981        PMID: 7033756     DOI: 10.1118/1.594957

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  21 in total

1.  Comparison of three different techniques for dual-energy subtraction imaging in digital radiography: a signal-to-noise analysis.

Authors:  C C Shaw; D Gur
Journal:  J Digit Imaging       Date:  1992-11       Impact factor: 4.056

2.  Computed radiography dual energy subtraction: performance evaluation when detecting low-contrast lung nodules in an anthropomorphic phantom.

Authors:  C Kimme-Smith; D L Davis; M McNitt-Gray; J Goldin; E Hart; P Batra; T D Johnson
Journal:  J Digit Imaging       Date:  1999-02       Impact factor: 4.056

3.  A comparison of two dual-energy X-ray absorptiometry systems for spinal bone mineral measurement.

Authors:  K C Lai; M M Goodsitt; R Murano; C H Chesnut
Journal:  Calcif Tissue Int       Date:  1992-03       Impact factor: 4.333

4.  Multi-layer imager design for mega-voltage spectral imaging.

Authors:  Marios Myronakis; Yue-Houng Hu; Rony Fueglistaller; Adam Wang; Paul Baturin; Pascal Huber; Daniel Morf; Josh Star-Lack; Ross Berbeco
Journal:  Phys Med Biol       Date:  2018-05-10       Impact factor: 3.609

5.  A novel phantom for characterization of dual energy imaging using an on-board imaging system.

Authors:  Maksat Haytmyradov; Rakesh Patel; Hassan Mostafavi; Murat Surucu; Adam Wang; Matthew M Harkenrider; John C Roeske
Journal:  Phys Med Biol       Date:  2019-01-21       Impact factor: 3.609

6.  Correlations of dual-energy X-ray absorptiometry, quantitative computed tomography, and single photon absorptiometry with spinal and non-spinal fractures.

Authors:  F W Lafferty; D Y Rowland
Journal:  Osteoporos Int       Date:  1996       Impact factor: 4.507

7.  Radiation dose reduction using a CdZnTe-based computed tomography system: comparison to flat-panel detectors.

Authors:  Q Le Huy; Justin L Ducote; Sabee Molloi
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

8.  Theoretical and Monte Carlo optimization of a stacked three-layer flat-panel x-ray imager for applications in multi-spectral medical imaging.

Authors:  Sebastian Lopez Maurino; Aldo Badano; Ian A Cunningham; Karim S Karim
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-29

9.  Markerless tumor tracking using fast-kV switching dual-energy fluoroscopy on a benchtop system.

Authors:  Maksat Haytmyradov; Hassan Mostafavi; Adam Wang; Liangjia Zhu; Murat Surucu; Rakesh Patel; Arun Ganguly; Michelle Richmond; Roberto Cassetta; Matthew M Harkenrider; John C Roeske
Journal:  Med Phys       Date:  2019-06-01       Impact factor: 4.071

10.  Dual-energy digital mammography for calcification imaging: noise reduction techniques.

Authors:  S Cheenu Kappadath; Chris C Shaw
Journal:  Phys Med Biol       Date:  2008-09-02       Impact factor: 3.609

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