Visualising cardiovascular pathology using computed tomography: the Heart multi-Omics imaging Atlas ProjEct (HOPE Atlas)
This post-mortem study was set out to obtain an in-depth understanding of coronary artery disease (CAD) specifically the correlation of coronary plaque characteristics between CT and the co-registered histopathology of coronary samples. The primary aim was to understand the current limitations of co...
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Format: | Thesis |
Language: | English |
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2024
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author | Xie, C |
author2 | Antoniades, C |
author_facet | Antoniades, C Xie, C |
author_sort | Xie, C |
collection | OXFORD |
description | This post-mortem study was set out to obtain an in-depth understanding of coronary artery disease (CAD) specifically the correlation of coronary plaque characteristics between CT and the co-registered histopathology of coronary samples. The primary aim was to understand the current limitations of coronary plaque segmentations on CT and with the availability of both CT and histopathology to overcome these challenges. Firstly, I developed a novel minimally invasive post-mortem CT technique so that in-situ coronary computed tomography angiography (CCTA) could be performed to assess CAD with body preservation. Secondly, I demonstrated that person who passed away from coronary related death exhibited significantly different patterns of inflammatory changes in the coronary perivascular adipose tissue (PVAT) compared to someone who died of non-coronary causes. The inflammatory pattern could be captured by using the medical device (CaRi-Heart®) to improve the diagnosis of the cause of death. Thirdly, I showed the effect of multi-energy/spectral imaging (40-180 keV) of the novel photon-counting CT (PCCT) on coronary plaque tissue characterisation on the participants from the post-mortem study, phantoms on different scanning parameters (80-140 kV, 200-600 mA), CT scanners of different manufacturers, and reconstruction kernels. The results provided the set of standards to calibrate the PCCT against conventional CTs. Finally, the co-registration of the coronary plaque characteristic on CT with histopathology provided accurate quantification of fibrotic tissue between different photon energies and the 120 kV standard CT. I was able to standardise calcified plaque blooming effect along the photon energy spectrum. Therefore, overcoming the challenges of fibrous tissue calibration and calcium blooming effect. The results led to adaptive tissue characterisation individualised for each patient’s CCTA rather than adopting a fixed set of ranges. The histopathological validation of the PVAT provided the ground-truth for the imaging results. |
first_indexed | 2025-02-19T04:38:28Z |
format | Thesis |
id | oxford-uuid:c6dd12c0-e824-4cf9-902c-57e887f152d1 |
institution | University of Oxford |
language | English |
last_indexed | 2025-02-19T04:38:28Z |
publishDate | 2024 |
record_format | dspace |
spelling | oxford-uuid:c6dd12c0-e824-4cf9-902c-57e887f152d12025-02-12T07:59:44ZVisualising cardiovascular pathology using computed tomography: the Heart multi-Omics imaging Atlas ProjEct (HOPE Atlas)Thesishttp://purl.org/coar/resource_type/c_db06uuid:c6dd12c0-e824-4cf9-902c-57e887f152d1Cardiovascular systemEnglishHyrax Deposit2024Xie, CAntoniades, CChannon, KNeubauer, SThis post-mortem study was set out to obtain an in-depth understanding of coronary artery disease (CAD) specifically the correlation of coronary plaque characteristics between CT and the co-registered histopathology of coronary samples. The primary aim was to understand the current limitations of coronary plaque segmentations on CT and with the availability of both CT and histopathology to overcome these challenges. Firstly, I developed a novel minimally invasive post-mortem CT technique so that in-situ coronary computed tomography angiography (CCTA) could be performed to assess CAD with body preservation. Secondly, I demonstrated that person who passed away from coronary related death exhibited significantly different patterns of inflammatory changes in the coronary perivascular adipose tissue (PVAT) compared to someone who died of non-coronary causes. The inflammatory pattern could be captured by using the medical device (CaRi-Heart®) to improve the diagnosis of the cause of death. Thirdly, I showed the effect of multi-energy/spectral imaging (40-180 keV) of the novel photon-counting CT (PCCT) on coronary plaque tissue characterisation on the participants from the post-mortem study, phantoms on different scanning parameters (80-140 kV, 200-600 mA), CT scanners of different manufacturers, and reconstruction kernels. The results provided the set of standards to calibrate the PCCT against conventional CTs. Finally, the co-registration of the coronary plaque characteristic on CT with histopathology provided accurate quantification of fibrotic tissue between different photon energies and the 120 kV standard CT. I was able to standardise calcified plaque blooming effect along the photon energy spectrum. Therefore, overcoming the challenges of fibrous tissue calibration and calcium blooming effect. The results led to adaptive tissue characterisation individualised for each patient’s CCTA rather than adopting a fixed set of ranges. The histopathological validation of the PVAT provided the ground-truth for the imaging results. |
spellingShingle | Cardiovascular system Xie, C Visualising cardiovascular pathology using computed tomography: the Heart multi-Omics imaging Atlas ProjEct (HOPE Atlas) |
title | Visualising cardiovascular pathology using computed tomography: the Heart multi-Omics imaging Atlas ProjEct (HOPE Atlas) |
title_full | Visualising cardiovascular pathology using computed tomography: the Heart multi-Omics imaging Atlas ProjEct (HOPE Atlas) |
title_fullStr | Visualising cardiovascular pathology using computed tomography: the Heart multi-Omics imaging Atlas ProjEct (HOPE Atlas) |
title_full_unstemmed | Visualising cardiovascular pathology using computed tomography: the Heart multi-Omics imaging Atlas ProjEct (HOPE Atlas) |
title_short | Visualising cardiovascular pathology using computed tomography: the Heart multi-Omics imaging Atlas ProjEct (HOPE Atlas) |
title_sort | visualising cardiovascular pathology using computed tomography the heart multi omics imaging atlas project hope atlas |
topic | Cardiovascular system |
work_keys_str_mv | AT xiec visualisingcardiovascularpathologyusingcomputedtomographytheheartmultiomicsimagingatlasprojecthopeatlas |