{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T10:39:09Z","timestamp":1790419149159,"version":"4.1.0"},"reference-count":32,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2014,9,8]],"date-time":"2014-09-08T00:00:00Z","timestamp":1410134400000},"content-version":"vor","delay-in-days":7,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2014,9]]},"abstract":"\n Head and neck cancers centered at the base of skull are better visualized on MRI than on CT. The purpose of this investigation was to investigate the accuracy of bulk density assignment in head and neck intensity\u2010modulated radiation therapy (IMRT) treatment plan optimization. Our study investigates dose calculation differences between density\u2010assigned MRI and CT, and identifies potential limitations related to dental implants and MRI geometrical distortion in the framework of MRI\u2010only\u2010based treatment planning. Bulk density assignment was performed and applied onto MRI to generate three MRI image sets with increasing levels of heterogeneity for seven patients: 1)\n \n : all water\u2010equivalent; 2)\n \n : included bone with density of\n \n ; and 3)\n \n : included bone and air. Using identical planning and optimization parameters, MRI\u2010based IMRT plans were generated and compared to corresponding, forward\u2010calculated, CT\u2010based plans on the basis of target coverage, isodose distributions, and dose\u2010volume histograms (DVHs). Phantom studies were performed to assess the magnitude and spatial dependence of MRI geometrical distortion.\n \n \u2010based dose calculations overestimated target coverage by 16.1%. Segmentation of bone reduced differences to within 2% of the coverage area on the CT\u2010based plan. Further segmentation of air improved conformity near air\u2013tissue interfaces. Dental artifacts caused substantial target coverage overestimation even on\n \n . Geometrical distortion was less than 1 mm in an imaging volume\n \n around scanner isocenter, but up to 4 mm at 17 cm lateral to isocenter. Bulk density assignment in the framework of MRI\u2010only IMRT head and neck treatment planning is a feasible method with certain limitations. Bone and teeth account for the majority of density heterogeneity effects. While soft tissue is well visualized on MRI compared to CT, dental implants may not be visible on MRI and must be identified by other means and assigned appropriate density for accurate dose calculation. Far off\u2010center geometrical distortion of the body contour near the shoulder region is a potential source of dose calculation inaccuracy.\n <\/jats:p>\n PACS numbers: 87.61.\u2010c, 87.55.\u2010D<\/jats:p>","DOI":"10.1120\/jacmp.v15i5.4851","type":"journal-article","created":{"date-parts":[[2017,2,27]],"date-time":"2017-02-27T18:39:09Z","timestamp":1488220749000},"page":"100-111","source":"Crossref","is-referenced-by-count":60,"title":["Feasibility and limitations of bulk density assignment in MRI for head and neck IMRT treatment planning"],"prefix":"10.1002","volume":"15","author":[{"given":"Alexander L.","family":"Chin","sequence":"first","affiliation":[{"name":"Perelman School of Medicine University of Pennsylvania Philadelphia PA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology University of Pennsylvania Philadelphia PA 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