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Towards continuous-to-continuous 3D imaging in the real world
Imaging systems are often modeled as continuous-to-discrete mappings that map the object (i.e. a function of continuous variables such as space, time, energy, wavelength, etc) to a finite set of measurements. When it comes to reconstruction, some discretized version of the object is almost always as...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038643/ https://www.ncbi.nlm.nih.gov/pubmed/31470417 http://dx.doi.org/10.1088/1361-6560/ab3fb5 |
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author | Caucci, L Liu, Z Jha, A K Han, H Furenlid, L R Barrett, H H |
author_facet | Caucci, L Liu, Z Jha, A K Han, H Furenlid, L R Barrett, H H |
author_sort | Caucci, L |
collection | PubMed |
description | Imaging systems are often modeled as continuous-to-discrete mappings that map the object (i.e. a function of continuous variables such as space, time, energy, wavelength, etc) to a finite set of measurements. When it comes to reconstruction, some discretized version of the object is almost always assumed, leading to a discrete-to-discrete representation of the imaging system. In this paper, we discuss a method for single-photon emission computed tomography (SPECT) imaging that avoids discrete representations of the object or the imaging system, thus allowing reconstruction on an arbitrarily fine set of points. |
format | Online Article Text |
id | pubmed-7038643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-70386432020-02-24 Towards continuous-to-continuous 3D imaging in the real world Caucci, L Liu, Z Jha, A K Han, H Furenlid, L R Barrett, H H Phys Med Biol Article Imaging systems are often modeled as continuous-to-discrete mappings that map the object (i.e. a function of continuous variables such as space, time, energy, wavelength, etc) to a finite set of measurements. When it comes to reconstruction, some discretized version of the object is almost always assumed, leading to a discrete-to-discrete representation of the imaging system. In this paper, we discuss a method for single-photon emission computed tomography (SPECT) imaging that avoids discrete representations of the object or the imaging system, thus allowing reconstruction on an arbitrarily fine set of points. 2019-09-18 /pmc/articles/PMC7038643/ /pubmed/31470417 http://dx.doi.org/10.1088/1361-6560/ab3fb5 Text en Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence (https://creativecommons.org/licenses/by/3.0/) . |
spellingShingle | Article Caucci, L Liu, Z Jha, A K Han, H Furenlid, L R Barrett, H H Towards continuous-to-continuous 3D imaging in the real world |
title | Towards continuous-to-continuous 3D imaging in the real world |
title_full | Towards continuous-to-continuous 3D imaging in the real world |
title_fullStr | Towards continuous-to-continuous 3D imaging in the real world |
title_full_unstemmed | Towards continuous-to-continuous 3D imaging in the real world |
title_short | Towards continuous-to-continuous 3D imaging in the real world |
title_sort | towards continuous-to-continuous 3d imaging in the real world |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038643/ https://www.ncbi.nlm.nih.gov/pubmed/31470417 http://dx.doi.org/10.1088/1361-6560/ab3fb5 |
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