000177441 001__ 177441
000177441 005__ 20240229133740.0
000177441 037__ $$aDKFZ-2021-02533
000177441 1001_ $$0P:(DE-HGF)0$$aHarris, Tom$$b0$$gmale
000177441 245__ $$aA Novel Megavoltage Multilayer Imager Improves Clinical Beam’s-Eye-View Performance
000177441 260__ $$c2021
000177441 3367_ $$2DataCite$$aOutput Types/Dissertation
000177441 3367_ $$2ORCID$$aDISSERTATION
000177441 3367_ $$2BibTeX$$aPHDTHESIS
000177441 3367_ $$02$$2EndNote$$aThesis
000177441 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1637152026_27175
000177441 3367_ $$2DRIVER$$adoctoralThesis
000177441 500__ $$aCorresponding author J. Seco
000177441 502__ $$aDissertation, Universität Heidelberg, 2021$$bDissertation$$cUniversität Heidelberg$$gFakultät für Physik und Astronomie
000177441 520__ $$aMegavoltage imaging offers unique clinical applications due to providing a beam’s-eye-view of the actual radiation delivery. However, poor electronic portal imaging device (EPID) performance presently limits the clinical utility of megavoltage imaging. This thesis describes the clinical translation, implementation, and trial of a novel multilayer imager (MLI) designed to address current EPID shortcomings, as well as the development of an application using the imager to track tumor location during treatment. The prototype MLI was constructed, with standard imaging metrics demonstrating a 5.7x increase in detective quantum efficiency, as well as substantially improved contrast- and signal-to-noise ratios compared to standard EPID. Pre-clinical tests were performed on an anthropomorphic phantom to verify improved performance despite anatomical variations. Subsequently, we conducted a clinical trial of six patients receiving radiation for liver metastases. A beam’s-eye-view tumor tracking algorithm was utilized to assess MLI performance compared to a standard single layer imager. Tumor tracking using MLI was found to be significantly more accurate and efficient at successfully tracking on more frames. Further analysis revealed correlation between noise reduction and improved tracking performance. Given the MLI’s superior performance, for clinical beam’s-eye applications we recommend noise reduction strategies such as employing multiple detection layers in the EPID.
000177441 536__ $$0G:(DE-HGF)POF4-315$$a315 - Bildgebung und Radioonkologie (POF4-315)$$cPOF4-315$$fPOF IV$$x0
000177441 909CO $$ooai:inrepo02.dkfz.de:177441$$pVDB
000177441 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ
000177441 9131_ $$0G:(DE-HGF)POF4-315$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vBildgebung und Radioonkologie$$x0
000177441 9141_ $$y2021
000177441 9201_ $$0I:(DE-He78)E041-20160331$$kE041$$lE041 Medizinische Physik in der Radioonkologie$$x0
000177441 980__ $$aphd
000177441 980__ $$aVDB
000177441 980__ $$aI:(DE-He78)E041-20160331
000177441 980__ $$aUNRESTRICTED