Jane-Jane Lo

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PURPOSE HNC IMRT treatment planning is a challenging process that relies heavily on the planner's experience. Previously, we used the single, best match from a library of manually planned cases to semi-automatically generate IMRT plans for a new patient. The current multi-case Knowledge Based Radiation Therapy (MC-KBRT) study utilized different matching(More)
PURPOSE Knowledge Based Radiation Therapy Treatment (KBRT) planning can be used to semi-automatically generate IMRT plans for new patients using constraints derived from previously manually-planned, geometrically similar patients. We investigate whether KBRT plans can achieve greater dose sparing than manual plans using optimized, organspecific constraint(More)
Prospective elementary teachers must understand fraction division deeply to be able to teach this topic to their future students. This paper explores how two university instructors help prospective elementary school teachers develop such understanding. In particular, we examine how instructors teach the meaning of division, the concepts of unit, and the(More)
PURPOSE To verify that a knowledge-based approach to intensity modulated radiotherapy (IMRT) treatment planning can create clinically acceptable plans of higher or comparable dosimetric quality than prior clinically approved plans. METHODS Each case in a database of 140 IMRT prostate plans treated to 54 - 74Gy (28-41 fractions) is used as a query case and(More)
PURPOSE In prostate IMRT treatment planning, the variation in patient anatomy makes it difficult to estimate a priori the potentially achievable extent of dose reduction possible to the rectum and bladder. We developed a mutual information-based framework to estimate the achievable plan quality for a new patient, prior to any treatment planning or(More)
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