{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T11:10:05Z","timestamp":1791976205361,"version":"4.4.0"},"reference-count":30,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T00:00:00Z","timestamp":1752451200000},"content-version":"vor","delay-in-days":13,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>\n                      Magnetic resonance imaging (MRI) to visualize anatomical motion is becoming increasingly important when treating cancer patients with radiotherapy. Hybrid MRI\u2010linear accelerator (MRI\u2010linac) systems allow real\u2010time motion management during irradiation. This paper presents a multi\u2010institutional real\u2010time MRI time series dataset from different MRI\u2010linac vendors. The dataset is designed to support developing and evaluating real\u2010time tumor localization (tracking) algorithms for MRI\u2010guided radiotherapy within the TrackRAD2025 challenge (\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/trackrad2025.grand-challenge.org\/\">https:\/\/trackrad2025.grand\u2010challenge.org\/<\/jats:ext-link>\n                      ).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Acquisition and validation methods<\/jats:title>\n                    <jats:p>The dataset consists of sagittal 2D cine MRIs (20\u201020543 frames per scan) in 585 patients from six centers (3 Dutch, 1 German, 1 Australian, and 1 Chinese). Tumors in the thorax, abdomen, and pelvis acquired on two commercially available MRI\u2010linacs (0.35 T and 1.5 T) were included. For 108 cases, irradiation targets or tracking surrogates were manually segmented on each temporal frame. The dataset was randomly split into a public training set of 527 cases (477 unlabeled and 50 labeled) and a private testing set of 58 cases (all labeled).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Data format and usage notes<\/jats:title>\n                    <jats:p>\n                      The data is publicly available under the TrackRAD2025 collection:\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/doi.org\/10.57967\/hf\/4539\">https:\/\/doi.org\/10.57967\/hf\/4539<\/jats:ext-link>\n                      . Both the images and segmentations for each patient are available in metadata format.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Potential applications<\/jats:title>\n                    <jats:p>This novel clinical dataset will enable the development and evaluation of real\u2010time tumor localization algorithms for MRI\u2010guided radiotherapy. By enabling more accurate motion management and adaptive treatment strategies, this dataset has the potential to advance the field of radiotherapy significantly.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mp.17964","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T06:49:56Z","timestamp":1752562196000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["TrackRAD2025 challenge dataset: real\u2010time tumor tracking for MRI\u2010guided radiotherapy"],"prefix":"10.1002","volume":"52","author":[{"given":"Yiling","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital &amp; Institute, Sichuan Cancer Center University of Electronic Science and Technology of China  Chengdu China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elia","family":"Lombardo","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology LMU University Hospital, LMU Munich  Munich Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adrian","family":"Thummerer","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology LMU University Hospital, LMU Munich  Munich Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tom","family":"Bl\u00f6cker","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology LMU University Hospital, LMU Munich  Munich Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital &amp; Institute, Sichuan Cancer Center University of Electronic Science and Technology of China  Chengdu China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Radiation Oncology Key Laboratory of Sichuan Province, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital &amp; Institute, Sichuan Cancer Center University of Electronic Science and Technology of China  Chengdu China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christianna Iris","family":"Papadopoulou","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology LMU University Hospital, LMU Munich  Munich Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Coen","family":"Hurkmans","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Catharina Hospital  Eindhoven The Netherlands"},{"name":"Department of Electrical Engineering and Department of Applied Physics and Science Education Technical University Eindhoven  Eindhoven The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rob H. N.","family":"Tijssen","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Catharina Hospital  Eindhoven The Netherlands"},{"name":"Department of Biomedical Engineering Technical University Eindhoven  Eindhoven The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pia A. 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