{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T15:12:29Z","timestamp":1769008349218,"version":"3.49.0"},"reference-count":22,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T00:00:00Z","timestamp":1589673600000},"content-version":"vor","delay-in-days":16,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100007325","name":"American Association of Physicists in Medicine","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007325","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005294","name":"Massachusetts General Hospital","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005294","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2020,5]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>The use of magnetic resonance imaging (MRI) in radiotherapy treatment planning has rapidly increased due to its ability to evaluate patient\u2019s anatomy without the use of ionizing radiation and due to its high soft tissue contrast. For these reasons, MRI has become the modality of choice for longitudinal and adaptive treatment studies. Automatic segmentation could offer many benefits for these studies. In this work, we describe a T2\u2010weighted MRI dataset of head and neck cancer patients that can be used to evaluate the accuracy of head and neck normal tissue auto\u2010segmentation systems through comparisons to available expert manual segmentations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Acquisition and validation methods<\/jats:title><jats:p>T2\u2010weighted MRI images were acquired for 55 head and neck cancer patients. These scans were collected after radiotherapy computed tomography (CT) simulation scans using a thermoplastic mask to replicate patient treatment position. All scans were acquired on a single 1.5\u00a0T Siemens MAGNETOM Aera MRI with two large four\u2010channel flex phased\u2010array coils. The scans covered the region encompassing the nasopharynx region cranially and supraclavicular lymph node region caudally, when possible, in the superior\u2013inferior direction. Manual contours were created for the left\/right submandibular gland, left\/right parotids, left\/right lymph node level II, and left\/right lymph node level III. These contours underwent quality assurance to ensure adherence to predefined guidelines, and were corrected if edits were necessary.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data format and usage notes<\/jats:title><jats:p>The T2\u2010weighted images and RTSTRUCT files are available in DICOM format. The regions of interest are named based on AAPM\u2019s Task Group 263 nomenclature recommendations (Glnd_Submand_L, Glnd_Submand_R, LN_Neck_II_L, Parotid_L, Parotid_R, LN_Neck_II_R, LN_Neck_III_L, LN_Neck_III_R). This dataset is available on The Cancer Imaging Archive (TCIA) by the National Cancer Institute under the collection \u201cAAPM RT\u2010MAC Grand Challenge 2019\u201d (<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/doi.org\/10.7937\/tcia.2019.bcfjqfqb\">https:\/\/doi.org\/10.7937\/tcia.2019.bcfjqfqb<\/jats:ext-link>).<\/jats:p><\/jats:sec><jats:sec><jats:title>Potential applications<\/jats:title><jats:p>This dataset provides head and neck patient MRI scans to evaluate auto\u2010segmentation systems on T2\u2010weighted images. Additional anatomies could be provided at a later time to enhance the existing library of contours.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mp.13942","type":"journal-article","created":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T09:16:21Z","timestamp":1589706981000},"page":"2317-2322","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Head and neck cancer patient images for determining auto\u2010segmentation accuracy in T2\u2010weighted magnetic resonance imaging through expert manual segmentations"],"prefix":"10.1002","volume":"47","author":[{"given":"Carlos E.","family":"Cardenas","sequence":"first","affiliation":[{"name":"Department of Radiation Physics The University of Texas MD Anderson Cancer Center Houston TX USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdallah S. R.","family":"Mohamed","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology The University of Texas MD Anderson Cancer Center Houston TX USA"},{"name":"MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Houston TX USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinzhong","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Radiation Physics The University of Texas MD Anderson Cancer Center Houston TX USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Gooding","sequence":"additional","affiliation":[{"name":"Mirada Medical Ltd. Oxford UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harini","family":"Veeraraghavan","sequence":"additional","affiliation":[{"name":"Department of Medical Physics Memorial Sloan Kettering Cancer Centre New York NY USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jayashree","family":"Kalpathy\u2010Cramer","sequence":"additional","affiliation":[{"name":"Department of Radiology Massachusetts General Hospital\/Harvard Medical School Boston MA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sweet Ping","family":"Ng","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology The University of Texas MD Anderson Cancer Center Houston TX USA"},{"name":"Department of Radiation Oncology Peter MacCallum Cancer Centre Melbourne Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology The University of Texas MD Anderson Cancer Center Houston TX USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jihong","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology The University of Texas MD Anderson Cancer Center Houston TX USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephen Y.","family":"Lai","sequence":"additional","affiliation":[{"name":"Department of Head and Neck Surgery The University of Texas MD Anderson Cancer Center Houston TX USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Clifton D.","family":"Fuller","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology The University of Texas MD Anderson Cancer Center Houston TX USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Greg","family":"Sharp","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Massachusetts General Hospital Boston MA 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