From bmorgan@smi.stanford.edu Fri Jan 10 10:32:36 1997 Flags: 000000000001 Received: from SMI.Stanford.EDU (SMI.Stanford.EDU [171.65.32.122]) by DB.Stanford.EDU (8.7.1/8.7.1) with ESMTP id KAA26991; Fri, 10 Jan 1997 10:32:34 -0800 Received: from smi-ss20-3.Stanford.EDU (smi-ss20-3.Stanford.EDU [171.65.32.120]) by SMI.Stanford.EDU (8.8.4/8.7.1) with ESMTP id KAA25274 for ; Fri, 10 Jan 1997 10:16:00 -0800 (PST) Received: (from public@localhost) by smi-ss20-3.Stanford.EDU (8.8.4/8.7.1) id KAA24678; Fri, 10 Jan 1997 10:15:59 -0800 (PST) Date: Fri, 10 Jan 1997 10:15:59 -0800 (PST) Message-Id: <199701101815.KAA24678@smi-ss20-3.Stanford.EDU> X-Authentication-Warning: smi-ss20-3.Stanford.EDU: public set sender to bmorgan@smi.stanford.edu using -f To: From: SMI Event Coordinators Subject: January 16, 12:00: Treatment Planning for Image-Guided Robotic Radiosurgery Colloquium ---------- Title: Treatment Planning for Image-Guided Robotic Radiosurgery Speaker: Rhea Tombropoulos Section on Medical Informatics Stanford University School of Medicine Date: January 16, 1997 Time: 12:00 PM to 1:00 PM Location: Lee B. Lusted Library (MSOB Conference Room x275) Abstract: Radiosurgery is a technique in which narrow, focused beams of radiation are used to destroy tumors. The treatment-planning problem in radiosurgery is to find a set of feasible beam configurations that will destroy the tumor without harming the surrounding healthy tissue. Depending on the radiosurgical system being used, solving this problem can involve searching a very large space of possible configurations. Furthermore, because tumors vary in size and shape as well as in their locations relative to critical structures, it is important to have an treatment-planning algorithm that is general enough to be applicable to a wide range of tumor types. In this talk, I will present a general algorithm for beam selection that I have developed for use with the Cyberknife radiosurgical system. My algorithm first narrows down the search space by defining a set of promising beam configurations, and then iteratively refines this initial set to produce a satisfactory solution. I have evaluated this algorithm on numerous test cases, including tumors in the brain, spine, and prostate, as well as synthetically constructed data sets. I will present the results of my evaluation, and discuss directions for future research. The schedule for all future talks sponsored by the Section on Medical Informatics may be found on the World Wide Web at URL http://www-smi.stanford.edu/events/.