Optimization for object localization of the constrained algebraic reconstruction technique

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A method for optimizing image-recovery algorithms is presented that is based on how well the specified task of object localization can be performed using the reconstructed images. The task performance is numerically assessed by a Monte Carlo simulation of the complete imaging process including the generation of scenes appropriate to the desired application, subsequent data taking, image recovery, and performance of the stated task based on the final image. This method is used to optimize the constrained Algebraic Reconstruction Technique (ART), which reconstructs images from their projections under a nonnegativity constraint by means of an iterative updating procedure. The optimization ... continued below

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Pages: 9

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Hanson, K.M. January 1, 1989.

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Description

A method for optimizing image-recovery algorithms is presented that is based on how well the specified task of object localization can be performed using the reconstructed images. The task performance is numerically assessed by a Monte Carlo simulation of the complete imaging process including the generation of scenes appropriate to the desired application, subsequent data taking, image recovery, and performance of the stated task based on the final image. This method is used to optimize the constrained Algebraic Reconstruction Technique (ART), which reconstructs images from their projections under a nonnegativity constraint by means of an iterative updating procedure. The optimization is performed by finding the relaxation factor, which is employed in the updating procedure, that yields the minimum rms error in estimating the position of discs in the reconstructed images. It is found that the optimum operating points for the best object localization are essentially the same as those obtained earlier when the performance of simple object detection is to be optimized. 11 refs., 3 figs., 2 tabs.

Physical Description

Pages: 9

Notes

NTIS, PC A02/MF A01 - OSTI; 1.

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  • 3. conference on medical imaging, Newport Beach, CA, USA, 29 Jan 1989

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  • Other: DE89007755
  • Report No.: LA-UR-89-266
  • Report No.: CONF-890115-1
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 6332182
  • Archival Resource Key: ark:/67531/metadc1206709

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • January 1, 1989

Added to The UNT Digital Library

  • July 5, 2018, 11:11 p.m.

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  • Oct. 23, 2018, 12:06 p.m.

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Hanson, K.M. Optimization for object localization of the constrained algebraic reconstruction technique, article, January 1, 1989; United States. (digital.library.unt.edu/ark:/67531/metadc1206709/: accessed November 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.