Document Detail


Anatomical data fusion for quantitative reconstruction in myocardial tomoscintigraphy using a spline model of the thorax organs.
MedLine Citation:
PMID:  9210817     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We present the fusion of anatomical data as a method for improving the reconstruction in single photon emission computed tomography (SPECT). Anatomical data is used to deduce a parameterized model of organs in a reconstructed slice using spline curves. This model allows us to define the imaging process, i.e., the direct problem, more adequately, and furthermore to restrict the reconstruction to the emitting zones. Instead of the usual square pixels, we use a new kind of discretization pixel, which fits to the contour in the region of interest. In the reconstruction phase, we estimate the activity in the emitting zones and also the optimum parameters of our model. Concentrating on the left ventricular (LV) wall activity, the simulation and phantom results show an accurate estimation of both the myocardial shape and the radioactive emission.
Authors:
F Coutand; L Garnero; J Fonroget
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  44     ISSN:  0018-9294     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  1997 Jul 
Date Detail:
Created Date:  1997-08-13     Completed Date:  1997-08-13     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  575-84     Citation Subset:  IM    
Affiliation:
Institut d'Optique Théorique et Apliquée, URA 14 CNRS, Orsay, France.
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MeSH Terms
Descriptor/Qualifier:
Computer Simulation*
Heart / anatomy & histology*,  radionuclide imaging*
Humans
Mathematics
Models, Anatomic*
Models, Biological*
Phantoms, Imaging
Scattering, Radiation
Thorax / anatomy & histology*
Tomography, Emission-Computed, Single-Photon / methods*,  statistics & numerical data

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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