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Beam orientation optimization for coherent X-ray scattering from distributed deep targets
BACKGROUND: Amyloid deposits in the temporal and frontal lobes in patients with Alzheimer’s disease make them potential targets to aid in early diagnosis. Recently, spectral small-angle X-ray scattering techniques have been proposed for interrogating deep targets such as amyloid plaques. RESULTS: We...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442418/ https://www.ncbi.nlm.nih.gov/pubmed/34526019 http://dx.doi.org/10.1186/s12938-021-00928-x |
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author | Breedlove, Sophya Badano, Aldo |
author_facet | Breedlove, Sophya Badano, Aldo |
author_sort | Breedlove, Sophya |
collection | PubMed |
description | BACKGROUND: Amyloid deposits in the temporal and frontal lobes in patients with Alzheimer’s disease make them potential targets to aid in early diagnosis. Recently, spectral small-angle X-ray scattering techniques have been proposed for interrogating deep targets such as amyloid plaques. RESULTS: We describe an optimization approach for the orientation of beams for deep target characterization. The model predicts the main features of scattering profiles from targets with varying shape, size and location. We found that increasing target size introduced additional smearing due to location uncertainty, and incidence angle affected the scattering profile by altering the path length or effective target size. For temporal and frontal lobe targets, beam effectiveness varied up to 2 orders of magnitude. CONCLUSIONS: Beam orientation optimization might allow for patient-specific optimal paths for improved signal characterization. |
format | Online Article Text |
id | pubmed-8442418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84424182021-09-15 Beam orientation optimization for coherent X-ray scattering from distributed deep targets Breedlove, Sophya Badano, Aldo Biomed Eng Online Research BACKGROUND: Amyloid deposits in the temporal and frontal lobes in patients with Alzheimer’s disease make them potential targets to aid in early diagnosis. Recently, spectral small-angle X-ray scattering techniques have been proposed for interrogating deep targets such as amyloid plaques. RESULTS: We describe an optimization approach for the orientation of beams for deep target characterization. The model predicts the main features of scattering profiles from targets with varying shape, size and location. We found that increasing target size introduced additional smearing due to location uncertainty, and incidence angle affected the scattering profile by altering the path length or effective target size. For temporal and frontal lobe targets, beam effectiveness varied up to 2 orders of magnitude. CONCLUSIONS: Beam orientation optimization might allow for patient-specific optimal paths for improved signal characterization. BioMed Central 2021-09-15 /pmc/articles/PMC8442418/ /pubmed/34526019 http://dx.doi.org/10.1186/s12938-021-00928-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Breedlove, Sophya Badano, Aldo Beam orientation optimization for coherent X-ray scattering from distributed deep targets |
title | Beam orientation optimization for coherent X-ray scattering from distributed deep targets |
title_full | Beam orientation optimization for coherent X-ray scattering from distributed deep targets |
title_fullStr | Beam orientation optimization for coherent X-ray scattering from distributed deep targets |
title_full_unstemmed | Beam orientation optimization for coherent X-ray scattering from distributed deep targets |
title_short | Beam orientation optimization for coherent X-ray scattering from distributed deep targets |
title_sort | beam orientation optimization for coherent x-ray scattering from distributed deep targets |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8442418/ https://www.ncbi.nlm.nih.gov/pubmed/34526019 http://dx.doi.org/10.1186/s12938-021-00928-x |
work_keys_str_mv | AT breedlovesophya beamorientationoptimizationforcoherentxrayscatteringfromdistributeddeeptargets AT badanoaldo beamorientationoptimizationforcoherentxrayscatteringfromdistributeddeeptargets |