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Titolo:
Analytical versus voxelized phantom representation for Monte Carlo simulation in radiological imaging
Autore:
Peter, J; Tornai, MP; Jaszczak, RJ;
Indirizzi:
Duke Univ, Med Ctr, Durham, NC 27710 USA Duke Univ Durham NC USA 27710Duke Univ, Med Ctr, Durham, NC 27710 USA
Titolo Testata:
IEEE TRANSACTIONS ON MEDICAL IMAGING
fascicolo: 5, volume: 19, anno: 2000,
pagine: 556 - 564
SICI:
0278-0062(200005)19:5<556:AVVPRF>2.0.ZU;2-0
Fonte:
ISI
Lingua:
ENG
Soggetto:
EMISSION COMPUTED-TOMOGRAPHY; CARDIAC-TORSO PHANTOM; SCATTER CORRECTION; NONUNIFORM ATTENUATION; SPECT; PHOTON; RECONSTRUCTION; OBJECT; SYSTEMS; VOLUME;
Keywords:
analytical phantoms; discretization; Monte Carlo methods; PET; SPECT; voxelized phantoms;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Engineering, Computing & Technology
Citazioni:
37
Recensione:
Indirizzi per estratti:
Indirizzo: Peter, J Duke Univ, Med Ctr, Durham, NC 27710 USA Duke Univ Durham NC USA27710 niv, Med Ctr, Durham, NC 27710 USA
Citazione:
J. Peter et al., "Analytical versus voxelized phantom representation for Monte Carlo simulation in radiological imaging", IEEE MED IM, 19(5), 2000, pp. 556-564

Abstract

Monte Carlo simulations in nuclear medicine, with accurately modeled photon transport and high-quality random number generators, require precisely defined and often detailed phantoms as an important component in the simulation process. Contemporary simulation models predominantly employ voxel-driven algorithms, but analytical models offer important advantages. We discuss the implementation of ray-solid intersection algorithms in analytical superquadric-based complex phantoms with additional speed-up rejection testing for use in nuclear medicine imaging simulations, and we make comparisons with voxelized counterparts. Comparisons are made with well-known cold rod:sphere and anthropomorphic phantoms, For these complex phantoms, the analytical phantom representations are nominally several orders of magnitude smallerin memory requirements than are voxelized versions. Analytical phantoms facilitate constant distribution parameters. As a consequence of discretizinga continuous surface into finite bins, for example, time-dependent voxelized phantoms can have difficulties preserving accurate volumes of a beating heart. Although virtually no inaccuracy is associated with path calculations in analytical phantoms, the discretization can negatively impact the simulation process and results. Discretization errors are apparent in reconstructed images of cold rod:sphere voxel-based phantoms because of a redistribution of the count densities in the simulated objects. These problems are entirely avoided in analytical phantoms. Voxelized phantoms can accurately model detailed human shapes based on segmented computed tomography (CT) or magnetic resonance imaging (MRI) images, but analytical phantoms offer advantages in time and accuracy for evaluation and investigation of imaging physics and reconstruction algorithms in a straightforward and efficient manner.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 01/04/20 alle ore 22:39:08