Development of 3D x-ray phase-contrast Imaging and analysis tools for tubular and branching structures with applications in colorectal cancer research.
Development of 3D x-ray phase-contrast Imaging and analysis tools for tubular and branching structures with applications in colorectal cancer research.
X-ray micro-computed tomography (μCT) is a non-destructive imaging technique used to capture the internal three-dimensional (3D) structure of small samples at high spatial resolutions. As it requires a certain level of knowledge in engineering, material science, mathematics and physics, it and can quickly become challenging to follow for readers with diverse academic backgrounds. In particular, biological tissues can have irregular internal structures, with convoluted shapes and orientations. In such cases, structural quantification becomes remarkably difficult as it often requires advanced knowledge in mathematics (topology) and engineering (digital signal processing). To facilitate research that employs μCT to study the internal microstructure of soft tissues such as the colon, a suite of tools, methods, and workflows have been developed here. The study was motivated by the problem of morphological quantification of tubular glands in the colon called crypts. These begin to branch during early-stage colorectal cancer (CRC), which makes crypt budding of central interest in the study of the disease. To study crypt budding during early-stage CRC using μCT, a sample-preparation method was developed here that employs a murine model for CRC and preserves the natural tubular shape of the colon. An X-ray phase-contrast μCT imaging protocol-design flowchart was developed to design X-ray imaging protocols for optimal spatial resolution. The flowchart was then employed to non-destructively image the tubular murine colon samples. These were subsequently unrolled digitally, using a tool developed here called ‘3D cyclorama’. The unrolled views of the colonic samples were used to identify the budding crypts, and a detailed 3D structural phenotype was compiled, employing a mathematical modelling approach that quantified the morphology of individual branches within the crypt. The tools, methods and workflows developed here, although motivated by the study of earlystage CRC, are applicable to a wide range of problems. The protocol-design flowchart will help researchers to understand, adapt and apply key elements of phase-contrast X-ray imaging for their own research questions, involving materials and tissues that do not significantly absorb Xrays. Digital unrolling may be applied to structures including, the colon to study crypt budding, ancient scrolls to retrieve inscribed text, or industrial applications to flatten curved parts. Finally, morphological quantification of budding structures may also be applied to blood vessel and airway networks, or plant roots. Taken together, the work presented in this thesis will help researchers from diverse backgrounds to harness the great potential of X-ray μCT imaging. The developed tools, workflows and methods will support various studies by facilitating the extraction of useful information from μCT data of samples with challenging geometries.
University of Southampton
Rossides, Charalambos
0a9d478d-4417-4841-83f5-d059172b3f9d
Rossides, Charalambos
0a9d478d-4417-4841-83f5-d059172b3f9d
Pender, Sylvia
62528b03-ec42-41bb-80fe-48454c2c5242
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Rossides, Charalambos
(2021)
Development of 3D x-ray phase-contrast Imaging and analysis tools for tubular and branching structures with applications in colorectal cancer research.
University of Southampton, Doctoral Thesis, 278pp.
Record type:
Thesis
(Doctoral)
Abstract
X-ray micro-computed tomography (μCT) is a non-destructive imaging technique used to capture the internal three-dimensional (3D) structure of small samples at high spatial resolutions. As it requires a certain level of knowledge in engineering, material science, mathematics and physics, it and can quickly become challenging to follow for readers with diverse academic backgrounds. In particular, biological tissues can have irregular internal structures, with convoluted shapes and orientations. In such cases, structural quantification becomes remarkably difficult as it often requires advanced knowledge in mathematics (topology) and engineering (digital signal processing). To facilitate research that employs μCT to study the internal microstructure of soft tissues such as the colon, a suite of tools, methods, and workflows have been developed here. The study was motivated by the problem of morphological quantification of tubular glands in the colon called crypts. These begin to branch during early-stage colorectal cancer (CRC), which makes crypt budding of central interest in the study of the disease. To study crypt budding during early-stage CRC using μCT, a sample-preparation method was developed here that employs a murine model for CRC and preserves the natural tubular shape of the colon. An X-ray phase-contrast μCT imaging protocol-design flowchart was developed to design X-ray imaging protocols for optimal spatial resolution. The flowchart was then employed to non-destructively image the tubular murine colon samples. These were subsequently unrolled digitally, using a tool developed here called ‘3D cyclorama’. The unrolled views of the colonic samples were used to identify the budding crypts, and a detailed 3D structural phenotype was compiled, employing a mathematical modelling approach that quantified the morphology of individual branches within the crypt. The tools, methods and workflows developed here, although motivated by the study of earlystage CRC, are applicable to a wide range of problems. The protocol-design flowchart will help researchers to understand, adapt and apply key elements of phase-contrast X-ray imaging for their own research questions, involving materials and tissues that do not significantly absorb Xrays. Digital unrolling may be applied to structures including, the colon to study crypt budding, ancient scrolls to retrieve inscribed text, or industrial applications to flatten curved parts. Finally, morphological quantification of budding structures may also be applied to blood vessel and airway networks, or plant roots. Taken together, the work presented in this thesis will help researchers from diverse backgrounds to harness the great potential of X-ray μCT imaging. The developed tools, workflows and methods will support various studies by facilitating the extraction of useful information from μCT data of samples with challenging geometries.
Text
Rossides PhD thesis
- Version of Record
Text
PTD_Thesis_Rossides-signed
Restricted to Repository staff only
More information
Submitted date: March 2021
Additional Information:
DOI https://doi.org/10.5258/SOTON/T0026
Identifiers
Local EPrints ID: 458082
URI: http://eprints.soton.ac.uk/id/eprint/458082
PURE UUID: 03c0c881-2494-486c-82d0-5db4fa2be94f
Catalogue record
Date deposited: 28 Jun 2022 16:42
Last modified: 17 Mar 2024 03:34
Export record
Altmetrics
Contributors
Author:
Charalambos Rossides
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics