Literature DB >> 7217812

Demonstration of a software package for the reconstruction of the dynamically changing structure of the human heart from cone beam x-ray projections.

M D Altschuler, Y Censor, P P Eggermont, G T Herman, Y H Kuo, R M Lewitt, M McKay, H K Tuy, J K Udupa, M M Yau.   

Abstract

The Dynamic Spatial Reconstructor (DSR) is a device constructed at the Biodynamics Research Unit of the Mayo Clinic for (among other things) the visualization of the beating heart inside the intact thorax. The device consists of 28 rotating X-ray sources arranged on a circular arc at 6 degrees intervals (total span 162 degrees) and a matching set of 28 imaging systems. The whole thorax of the patient is projected onto the two-dimensional screen of the imaging systems by cone beams of X rays from the sources. All of the X-ray sources are switched on and off within a total period of 10 milliseconds. The Medical Image Processing Group at the State University of New York at Buffalo has developed a software package for the design and evaluation of algorithms to be used by the DSR. In this paper we illustrate the operation of the package and a particular algorithm for the reconstruction of the dynamically changing structure of the heart from data collected by the DSR.

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Mesh:

Year:  1980        PMID: 7217812     DOI: 10.1007/bf02222468

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  5 in total

1.  Image reconstruction from projections.

Authors:  R Gordon; G T Herman; S A Johnson
Journal:  Sci Am       Date:  1975-10       Impact factor: 2.142

2.  Iterative reconstruction algorithms.

Authors:  G T Herman; A Lent
Journal:  Comput Biol Med       Date:  1976-10       Impact factor: 4.589

3.  New vistas for the study of structural and functional dynamics of the heart, lungs, and circulation by noninvasive numerical tomographic vivisection.

Authors:  E H Wood
Journal:  Circulation       Date:  1977-10       Impact factor: 29.690

4.  Ultra high speed transaxial image reconstruction of the heart, lungs, and circulation via numerical approximation methods and optimized processor architecture.

Authors:  B K Gilbert; A Chu; D E Atkins; E E Swartzlander; E L Ritman
Journal:  Comput Biomed Res       Date:  1979-02

5.  Processing of incomplete measurement data in computed tomography.

Authors:  R M Lewitt
Journal:  Med Phys       Date:  1979 Sep-Oct       Impact factor: 4.071

  5 in total
  3 in total

1.  The dynamic spatial reconstructor: a computed tomography system for high-speed simultaneous scanning of multiple cross sections of the heart.

Authors:  R A Robb; A H Lent; B K Gilbert; A Chu
Journal:  J Med Syst       Date:  1980       Impact factor: 4.460

2.  Correlation of cone beam computed tomography (CBCT) findings in the maxillary sinus with dental diagnoses: a retrospective cross-sectional study.

Authors:  Dan Dominik Brüllmann; Irene Schmidtmann; Silke Hornstein; Ralf K Schulze
Journal:  Clin Oral Investig       Date:  2011-10-04       Impact factor: 3.573

3.  CAVASS: a computer-assisted visualization and analysis software system.

Authors:  George Grevera; Jayaram Udupa; Dewey Odhner; Ying Zhuge; Andre Souza; Tad Iwanaga; Shipra Mishra
Journal:  J Digit Imaging       Date:  2007-09-06       Impact factor: 4.056

  3 in total

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