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Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment

dc.contributor.authorZhang, Wei
dc.contributor.authorOraiqat, Ibrahim
dc.contributor.authorLitzenberg, Dale
dc.contributor.authorChang, Kai-Wei
dc.contributor.authorHadley, Scott
dc.contributor.authorSunbul, Noora Ba
dc.contributor.authorMatuszak, Martha M
dc.contributor.authorTichacek, Christopher J
dc.contributor.authorMoros, Eduardo G
dc.contributor.authorCarson, Paul L
dc.contributor.authorCuneo, Kyle C
dc.contributor.authorWang, Xueding
dc.contributor.authorEl Naqa, Issam
dc.date.accessioned2023-01-03T22:11:09Z
dc.date.available2023-01-03T22:11:09Z
dc.date.issued2023-01-02
dc.identifier.issn1087-0156
dc.identifier.issn1546-1696
dc.identifier.urihttps://hdl.handle.net/2027.42/175349
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>Ionizing radiation acoustic imaging (iRAI) allows online monitoring of radiation’s interactions with tissues during radiation therapy, providing real-time, adaptive feedback for cancer treatments. We describe an iRAI volumetric imaging system that enables mapping of the three-dimensional (3D) radiation dose distribution in a complex clinical radiotherapy treatment. The method relies on a two-dimensional matrix array transducer and a matching multi-channel preamplifier board. The feasibility of imaging temporal 3D dose accumulation was first validated in a tissue-mimicking phantom. Next, semiquantitative iRAI relative dose measurements were verified in vivo in a rabbit model. Finally, real-time visualization of the 3D radiation dose delivered to a patient with liver metastases was accomplished with a clinical linear accelerator. These studies demonstrate the potential of iRAI to monitor and quantify the 3D radiation dose deposition during treatment, potentially improving radiotherapy treatment efficacy using real-time adaptive treatment.</jats:p>
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.titleReal-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment
dc.typeArticle
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/175349/2/Zhang_NatureBioTech_Acoustic Imaging Liver SBRT.pdf
dc.identifier.doi10.1038/s41587-022-01593-8
dc.identifier.doihttps://dx.doi.org/10.7302/6730
dc.identifier.sourceNature Biotechnology
dc.description.versionPublished online
dc.date.updated2023-01-03T22:11:03Z
dc.identifier.orcid0000-0002-2539-8321
dc.identifier.orcid0000-0001-8883-2175
dc.identifier.orcid0000-0003-4432-2346
dc.identifier.orcid0000-0003-1964-2460
dc.identifier.orcid0000-0003-3543-7424
dc.identifier.orcid0000-0002-8264-6483
dc.identifier.orcid0000-0002-2974-6258
dc.identifier.orcid0000-0001-6023-1132
dc.identifier.name-orcidZhang, Wei; 0000-0002-2539-8321
dc.identifier.name-orcidOraiqat, Ibrahim
dc.identifier.name-orcidLitzenberg, Dale; 0000-0001-8883-2175
dc.identifier.name-orcidChang, Kai-Wei; 0000-0003-4432-2346
dc.identifier.name-orcidHadley, Scott
dc.identifier.name-orcidSunbul, Noora Ba
dc.identifier.name-orcidMatuszak, Martha M
dc.identifier.name-orcidTichacek, Christopher J
dc.identifier.name-orcidMoros, Eduardo G; 0000-0003-1964-2460
dc.identifier.name-orcidCarson, Paul L; 0000-0003-3543-7424
dc.identifier.name-orcidCuneo, Kyle C; 0000-0002-8264-6483
dc.identifier.name-orcidWang, Xueding; 0000-0002-2974-6258
dc.identifier.name-orcidEl Naqa, Issam; 0000-0001-6023-1132
dc.working.doi10.7302/6730en
dc.owningcollnameRadiation Oncology, Department of


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