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This paper outlines several modeling decisions that result in more efficient and robust solutions. Furthermore, it outlines a new approach for determining starting points for the nonlinear programs, based on a skeletonization of the target volume. Treatment plans generated for real patient data show the efficiency of the approach.<\/jats:p>","DOI":"10.1137\/s105262340139745x","type":"journal-article","created":{"date-parts":[[2003,6,11]],"date-time":"2003-06-11T11:12:06Z","timestamp":1055329926000},"page":"921-937","source":"Crossref","is-referenced-by-count":40,"title":["An Optimization Approach for Radiosurgery Treatment Planning"],"prefix":"10.1137","volume":"13","author":[{"given":"Michael C.","family":"Ferris","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinho","family":"Lim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David M.","family":"Shepard","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"351","published-online":{"date-parts":[[2006,7,28]]},"reference":[{"key":"R1","unstructured":"H. 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