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Anthropomorphic dual-lattice voxel models for optimizing image quality and dose.

J. Med. Imaging 4:013509 (2017)
Verlagsversion DOI PMC
Closed
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Using numerical simulations, the influence of various imaging parameters on the resulting image can be determined for various imaging technologies. To achieve this, visualization of fine tissue structures needed to evaluate the image quality with different radiation quality and dose is essential. The present work examines a method that employs simulations of the imaging process using Monte Carlo methods and a combination of a standard and higher resolution voxel models. A hybrid model, based on nonlinear uniform rational B-spline and polygon mesh surfaces, was constructed from an existing voxel model of a female patient of a resolution in the range of millimeters. The resolution of the hybrid model was 500 μm, i.e., substantially finer than that of the original model. Furthermore, a high resolution lung voxel model [(0.11 mm)3 voxel volume, slice thickness: 114 μm] was developed from the specimen of a left lung lobe. This has been inserted into the hybrid model, substituting its left lung lobe and resulting in a dual-lattice geometry model. "Dual lattice" means, in this context, the combination of voxel models with different resolutions. Monte Carlo simulations of radiographic imaging were performed and the fine structure of the lung was easily recognizable.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Anthropomorphic ; Image ; Lung ; Model ; Simulation ; Voxel
Sprache
Veröffentlichungsjahr 2017
HGF-Berichtsjahr 2017
ISSN (print) / ISBN 2329-4302
e-ISSN 2329-4310
Quellenangaben Band: 4, Heft: 1, Seiten: , Artikelnummer: 013509 Supplement: ,
Verlag SPIE
Verlagsort Bellingham, Wash.
Begutachtungsstatus Peer reviewed
POF Topic(s) 30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Forschungsfeld(er) Radiation Sciences
PSP-Element(e) G-501100-008
G-501100-001
G-501100-004
Scopus ID 85016632192
PubMed ID 28401175
Erfassungsdatum 2017-04-25