eprintid: 31326
rev_number: 30
eprint_status: archive
userid: 1633
dir: disk0/00/03/13/26
datestamp: 2022-03-03 14:29:47
lastmod: 2022-12-16 12:29:57
status_changed: 2022-03-03 14:29:47
type: doctoralThesis
metadata_visibility: show
creators_name: Elter, Alina Sophie
title: Development of end-to-end tests for online adaptive magnetic resonance-guided radiotherapy
subjects: ddc-500
subjects: ddc-530
subjects: ddc-600
divisions: i-130001
divisions: i-850300
adv_faculty: af-13
abstract: Magnetic resonance (MR)-guided radiotherapy (MRgRT) enables new treatment procedures such as online treatment plan adaption based on daily imaging of the patient. This allows for the delivery of high radiation doses to the tumor while optimally sparing surrounding healthy tissue. However, such complex workflows require thorough quality assurance including dedicated end-to-end tests to validate the feasibility and overall accuracy of each specific treatment workflow. In this thesis, end-to-end tests for online adaptive MRgRT in presence of inter-fractional anatomy changes were developed. For this, a standardized protocol for 3D polymer gel (PG) dosimetry and new anthropomorphic materials simulating the image contrast of real patients in computed tomography and MR imaging were developed. These methods were validated resulting in uncertainties < 5 % for PG dose measurements and < 3.5 % for the imaging parameters of the phantom materials. Finally, two end-to-end tests were developed and implemented at a 0.35 T MRgRT device using (i) a highly reproducible geometric phantom and (ii) an anthropomorphic and deformable pelvis phantom. These tests resulted in Gamma-index passing rates (3 %⁄ 3 mm) of 93.1 % (i) and 98.9 % (ii) for the PG-filled targets and demonstrated the feasibility of online adapted MRgRT in presence of inter-fractional anatomical changes.
date: 2022
id_scheme: DOI
id_number: 10.11588/heidok.00031326
ppn_swb: 1827644648
own_urn: urn:nbn:de:bsz:16-heidok-313269
date_accepted: 2022-02-16
advisor: HASH(0x55a71845edd8)
language: eng
bibsort: ELTERALINADEVELOPMEN2022
full_text_status: public
place_of_pub: Heidelberg
citation:   Elter, Alina Sophie  (2022) Development of end-to-end tests for online adaptive magnetic resonance-guided radiotherapy.  [Dissertation]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/31326/1/Dissertation_AlinaElter.pdf