Cargando…

Real-time X-ray imaging of mouse cerebral microvessels in vivo using a pixel temporal averaging method

Rodents are used extensively as animal models for the preclinical investigation of microvascular-related diseases. However, motion artifacts in currently available imaging methods preclude real-time observation of microvessels in vivo. In this paper, a pixel temporal averaging (PTA) method that enab...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Fucheng, Wang, Feixiang, Li, Ke, Du, Guohao, Deng, Biao, Xie, Honglan, Yang, Guoyuan, Xiao, Tiqiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733992/
https://www.ncbi.nlm.nih.gov/pubmed/34985441
http://dx.doi.org/10.1107/S1600577521012522
_version_ 1784627919215132672
author Yu, Fucheng
Wang, Feixiang
Li, Ke
Du, Guohao
Deng, Biao
Xie, Honglan
Yang, Guoyuan
Xiao, Tiqiao
author_facet Yu, Fucheng
Wang, Feixiang
Li, Ke
Du, Guohao
Deng, Biao
Xie, Honglan
Yang, Guoyuan
Xiao, Tiqiao
author_sort Yu, Fucheng
collection PubMed
description Rodents are used extensively as animal models for the preclinical investigation of microvascular-related diseases. However, motion artifacts in currently available imaging methods preclude real-time observation of microvessels in vivo. In this paper, a pixel temporal averaging (PTA) method that enables real-time imaging of microvessels in the mouse brain in vivo is described. Experiments using live mice demonstrated that PTA efficiently eliminated motion artifacts and random noise, resulting in significant improvements in contrast-to-noise ratio. The time needed for image reconstruction using PTA with a normal computer was 250 ms, highlighting the capability of the PTA method for real-time angiography. In addition, experiments with less than one-quarter of photon flux in conventional angiography verified that motion artifacts and random noise were suppressed and microvessels were successfully identified using PTA, whereas conventional temporal subtraction and averaging methods were ineffective. Experiments performed with an X-ray tube verified that the PTA method could also be successfully applied to microvessel imaging of the mouse brain using a laboratory X-ray source. In conclusion, the proposed PTA method may facilitate the real-time investigation of cerebral microvascular-related diseases using small animal models.
format Online
Article
Text
id pubmed-8733992
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher International Union of Crystallography
record_format MEDLINE/PubMed
spelling pubmed-87339922022-01-19 Real-time X-ray imaging of mouse cerebral microvessels in vivo using a pixel temporal averaging method Yu, Fucheng Wang, Feixiang Li, Ke Du, Guohao Deng, Biao Xie, Honglan Yang, Guoyuan Xiao, Tiqiao J Synchrotron Radiat Research Papers Rodents are used extensively as animal models for the preclinical investigation of microvascular-related diseases. However, motion artifacts in currently available imaging methods preclude real-time observation of microvessels in vivo. In this paper, a pixel temporal averaging (PTA) method that enables real-time imaging of microvessels in the mouse brain in vivo is described. Experiments using live mice demonstrated that PTA efficiently eliminated motion artifacts and random noise, resulting in significant improvements in contrast-to-noise ratio. The time needed for image reconstruction using PTA with a normal computer was 250 ms, highlighting the capability of the PTA method for real-time angiography. In addition, experiments with less than one-quarter of photon flux in conventional angiography verified that motion artifacts and random noise were suppressed and microvessels were successfully identified using PTA, whereas conventional temporal subtraction and averaging methods were ineffective. Experiments performed with an X-ray tube verified that the PTA method could also be successfully applied to microvessel imaging of the mouse brain using a laboratory X-ray source. In conclusion, the proposed PTA method may facilitate the real-time investigation of cerebral microvascular-related diseases using small animal models. International Union of Crystallography 2022-01-01 /pmc/articles/PMC8733992/ /pubmed/34985441 http://dx.doi.org/10.1107/S1600577521012522 Text en © Fucheng Yu et al. 2022 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Research Papers
Yu, Fucheng
Wang, Feixiang
Li, Ke
Du, Guohao
Deng, Biao
Xie, Honglan
Yang, Guoyuan
Xiao, Tiqiao
Real-time X-ray imaging of mouse cerebral microvessels in vivo using a pixel temporal averaging method
title Real-time X-ray imaging of mouse cerebral microvessels in vivo using a pixel temporal averaging method
title_full Real-time X-ray imaging of mouse cerebral microvessels in vivo using a pixel temporal averaging method
title_fullStr Real-time X-ray imaging of mouse cerebral microvessels in vivo using a pixel temporal averaging method
title_full_unstemmed Real-time X-ray imaging of mouse cerebral microvessels in vivo using a pixel temporal averaging method
title_short Real-time X-ray imaging of mouse cerebral microvessels in vivo using a pixel temporal averaging method
title_sort real-time x-ray imaging of mouse cerebral microvessels in vivo using a pixel temporal averaging method
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733992/
https://www.ncbi.nlm.nih.gov/pubmed/34985441
http://dx.doi.org/10.1107/S1600577521012522
work_keys_str_mv AT yufucheng realtimexrayimagingofmousecerebralmicrovesselsinvivousingapixeltemporalaveragingmethod
AT wangfeixiang realtimexrayimagingofmousecerebralmicrovesselsinvivousingapixeltemporalaveragingmethod
AT like realtimexrayimagingofmousecerebralmicrovesselsinvivousingapixeltemporalaveragingmethod
AT duguohao realtimexrayimagingofmousecerebralmicrovesselsinvivousingapixeltemporalaveragingmethod
AT dengbiao realtimexrayimagingofmousecerebralmicrovesselsinvivousingapixeltemporalaveragingmethod
AT xiehonglan realtimexrayimagingofmousecerebralmicrovesselsinvivousingapixeltemporalaveragingmethod
AT yangguoyuan realtimexrayimagingofmousecerebralmicrovesselsinvivousingapixeltemporalaveragingmethod
AT xiaotiqiao realtimexrayimagingofmousecerebralmicrovesselsinvivousingapixeltemporalaveragingmethod