Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Faculty of Health and Social Sciences | en_US |
| dc.contributor.advisor | Cai, Jing (HTI) | en_US |
| dc.creator | Cheung, Lai Yin Andy | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/12250 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Investigation of a novel multi-source adaptive fusion method for MRI-based radiotherapy gross tumor volume delineation in liver cancer patients | en_US |
| dcterms.abstract | Accurate liver gross tumor volume (GTV) delineation is a crucial step for radiotherapy treatment. Such accuracy is crucial as otherwise this leads to a systematic error downstream and affects patients' clinical outcomes. GTV is the most time consuming procedure for radiation oncologist and it strongly relies on image registration of performing image fusion between planning computed tomography (CT) and different sequences of magnetic resonance imaging (MRI) such as T1-weighted (T1W) and T2-weighted (T2W) & diffusion-weighted imaging (DWI). | en_US |
| dcterms.abstract | Chapter 2 presents the evaluation of Multisource Adaptive MRI Fusion (MAMF) for Gross Tumor Volume Delineation of Hepatocellular Carcinoma (HCC). To begin with, a feasibility study of the MAMF method for MRI-based radiotherapy GTV delineation approach to address these deficiencies and has the potential to increase liver tumor contrast and improve inter-observer consistency of GTV delineation. Subsequently, a study was conducted to evaluate HCC tumor CNR and GTV delineation consistency by generating a fused MR image from MAMF method. The works in this Chapter has resulted in a poster presentation in 2018 American Association of Physicists in Medicine (AAPM) Annual Meeting, an oral presentation in 2018 CSTRO Annual Meeting, and a journal paper publication in Frontiers in Oncology. | en_US |
| dcterms.abstract | Chapter 3 presents the dosimetric comparisons between original MR images and MAMF fused MR for gross tumor volume delineation of HCC. The aim of this study is to quantify the dosimetric impact of planning target volume and critical structures by delineating GTVs with original MRI and MAMF fused MR methods. Treatment plannings had been generated by physicists and approved by experienced oncologists by fulfilling clinical acceptable standards. The MAMF Fused MR plans could potentially reduce the liver-GTV mean dose and spinal cord maximum dose while maintaining the prescribed dose coverage over planning target volume. | en_US |
| dcterms.abstract | Chapter 4 summarized the major findings in this project. The novel MAMF method has been investigated, which is proven to be effective in enhancing the liver tumor contrast to noise ratio, improving inter-observer consistency of GTV delineation and generating better treatment plans by spacing critical structure dose. | en_US |
| dcterms.extent | 65 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2022 | en_US |
| dcterms.educationalLevel | DHSc | en_US |
| dcterms.educationalLevel | All Doctorate | en_US |
| dcterms.LCSH | Liver -- Cancer -- Radiotherapy | en_US |
| dcterms.LCSH | Liver -- Tumors -- Treatment | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 6682.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 3.27 MB | Adobe PDF | View/Open |
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