{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T05:50:41Z","timestamp":1791352241940,"version":"4.3.1"},"reference-count":9,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T00:00:00Z","timestamp":1791244800000},"content-version":"vor","delay-in-days":5,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100011699","name":"Siemens Healthineers","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011699","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2026,10]]},"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Prostate artery embolization (PAE) requires precise visualization of complex pelvic arterial anatomy and can be aided by advanced vessel navigation tools. Photon counting detector (PCD) CT provides simultaneous ultra\u2010high resolution and material\u2010specific imaging, potentially improving automatic vessel tracing workflow for procedural planning and guidance.<\/jats:p>\n <\/jats:sec>\n \n Purpose<\/jats:title>\n To identify, within a PCD\u2010CT workflow, the reconstruction that provides the most robust and consistent automatic vessel tracing for pre\u2010procedural PAE planning.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n Ten patients underwent PCD\u2010CT angiography of the prostate arteries in ultra\u2010high\u2010resolution mode. Four reconstruction approaches were evaluated: conventional reconstructions with (1) standard of care kernel and (2) sharper kernel (Bv64), along with (3) monoenergetic 50 keV, and (4) iodine map spectral results. Using commercial embolization guidance software, three vessels were manually traced for each patient to establish ground truth segmentation. Subsequently, automatic vessel traces were generated using identical start\/end points as the ground truth. Root mean squared error (RMSE) between automatic traces and ground truth was used to quantify tracing accuracy.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Comparing individual traces, iodine maps demonstrated consistency with median RMSE of 0.7\u00a0mm (0.4\u00a0mm interquartile range (IQR)) versus 0.7\u00a0mm (12.5\u00a0mm IQR), 1.5\u00a0mm (14.7\u00a0mm IQR), and 0.8\u00a0mm (6.7\u00a0mm IQR) for Bv56, Bv64, and 50\u00a0keV reconstructions, respectively. Iodine maps produced fewer outliers, with 13.3% of traces and 40.0% of patients having one or more traces exceeding 5\u00a0mm RMSE, compared with 26.7%\u201336.7% of traces and 60.0%\u201380.0% of patients for the other reconstructions.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n Material\u2010specific iodine reconstructions from PCD\u2010CT yield more robust automatic vessel tracing for PAE planning, offering a workflow\u2010compatible solution requiring minimal protocol modifications.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/acm2.70835","type":"journal-article","created":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T05:07:05Z","timestamp":1791349625000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimizing photon counting detector CT reconstructions for automatic vessel tracing in prostate artery embolization"],"prefix":"10.1002","volume":"27","author":[{"given":"Taylor","family":"Froelich","sequence":"first","affiliation":[{"name":"Department of Radiology Mayo Clinic Rochester Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Forrest B.","family":"Linch","sequence":"additional","affiliation":[{"name":"Department of Radiology Mayo Clinic Rochester Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Scott M.","family":"Thompson","sequence":"additional","affiliation":[{"name":"Department of Radiology Mayo Clinic Rochester Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael C.","family":"Jundt","sequence":"additional","affiliation":[{"name":"Department of Radiology Mayo Clinic Rochester Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeremy D.","family":"Collins","sequence":"additional","affiliation":[{"name":"Department of Radiology Mayo Clinic Rochester Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Ferrero","sequence":"additional","affiliation":[{"name":"Department of Radiology Mayo Clinic Rochester Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher P.","family":"Favazza","sequence":"additional","affiliation":[{"name":"Department of Radiology Mayo Clinic Rochester Minnesota USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,6]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvir.2019.02.013"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1148\/rg.2019180195"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/jpm13010087"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tvir.2020.100690"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330\u2010023\u201009596\u2010y"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.212579"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000957"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s42155\u2010025\u201000567\u20106"},{"issue":"1","key":"e_1_2_12_10_1","first-page":"602","article-title":"Robust vessel tree modeling","volume":"11","author":"G\u00fcls\u00fcn MA","year":"2008","journal-title":"Med Image Comput Comput Assist Interv"}],"container-title":["Journal of Applied Clinical Medical 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