{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,11]],"date-time":"2026-10-11T01:19:49Z","timestamp":1791681589923,"version":"4.3.4"},"reference-count":21,"publisher":"Wiley","issue":"7Part1","license":[{"start":{"date-parts":[[2006,6,22]],"date-time":"2006-06-22T00:00:00Z","timestamp":1150934400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2006,7]]},"abstract":"Gamma knife treatments are usually planned manually, requiring much expertise and time. We describe a new, fully automatic method of treatment planning. The treatment volume to be planned is first compared with a database of past treatments to find volumes closely matching in size and shape. The treatment parameters of the closest matches are used as starting points for the new treatment plan. Further optimization is performed with the Nelder\u2010Mead simplex method: the coordinates and weight of the isocenters are allowed to vary until a maximally conformal plan specific to the new treatment volume is found. The method was tested on a randomly selected set of 10 acoustic neuromas and 10 meningiomas. Typically, matching a new volume took under 30 seconds. The time for simplex optimization, on a Xeon processor, ranged from under a minute for small volumes ( cubic mm, 2\u20133 isocenters), to several tens of hours for large volumes . In 8\/10 acoustic neuromas and 8\/10 meningiomas, the automatic method found plans with conformation number equal or better than that of the manual plan. In 4\/10 acoustic neuromas and 5\/10 meningiomas, both overtreatment and undertreatment ratios were equal or better in automated plans. In conclusion, data\u2010mining of past treatments can be used to derive starting parameters for treatment planning. These parameters can then be computer optimized to give good plans automatically.<\/jats:p>","DOI":"10.1118\/1.2207314","type":"journal-article","created":{"date-parts":[[2006,7,12]],"date-time":"2006-07-12T22:29:20Z","timestamp":1152743360000},"page":"2532-2540","source":"Crossref","is-referenced-by-count":12,"title":["Automated gamma knife radiosurgery treatment planning with image registration, data\u2010mining, and Nelder\u2010Mead simplex optimization"],"prefix":"10.1002","volume":"33","author":[{"given":"Kuan J.","family":"Lee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David C.","family":"Barber","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lee","family":"Walton","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2006,6,22]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0360\u20103016(97)80783\u20103"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031\u20109155\/43\/10\/009"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.598879"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.598731"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.1386427"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.1621463"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.1621463"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0360\u20103016(02)04145\u20107"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022951027498"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1137\/S105262340139745X"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0360-3016(03)00440-1"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/03091900412331289889"},{"key":"e_1_2_8_14_1","volume-title":"Numerical Recipes in C","author":"Press W. 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R.Hose(private communication)."}],"container-title":["Medical Physics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1118%2F1.2207314","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1118%2F1.2207314","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/pdf\/10.1118\/1.2207314","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,3]],"date-time":"2023-10-03T17:25:22Z","timestamp":1696353922000},"score":1,"resource":{"primary":{"URL":"https:\/\/aapm.onlinelibrary.wiley.com\/doi\/10.1118\/1.2207314"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,6,22]]},"references-count":21,"journal-issue":{"issue":"7Part1","published-print":{"date-parts":[[2006,7]]}},"alternative-id":["10.1118\/1.2207314"],"URL":"https:\/\/doi.org\/10.1118\/1.2207314","archive":["Portico"],"relation":{},"ISSN":["0094-2405","2473-4209"],"issn-type":[{"value":"0094-2405","type":"print"},{"value":"2473-4209","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,6,22]]}}}