Eric Schnarr

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#F33615-94-1-1525 and ARPA order no. B550, NSF PYI Award CCR-9157366, NSF Grant MIP-9225097, an AT&T graduate fellowship, two IBM COOP fellowships, and donations from A.T.&T. Bell Laboratories, Digital Equipment Corporation, Sun Microsystems, Thinking Machines Corporation, and Xerox Corporation. Our Thinking Machines CM-5 was purchased through NSF(More)
BACKGROUND AND PURPOSE To assess and evaluate geometrical changes in parotid glands using deformable image registration and megavoltage CT (MVCT) images. METHODS A deformable registration algorithm was applied to 330 daily MVCT images (10 patients) to create deformed parotid contours. The accuracy and robustness of the algorithm was evaluated through(More)
Architectural simulators are essential tools for computer architecture and systems research and development. Simulators, however, are becoming frustratingly slow, because they must now model increasingly complex micro-architectures running realistic workloads. Previously, we developed a technique called fast-forwarding, which applied partial evaluation and(More)
PURPOSE To analyze changes in parotid gland dose resulting from anatomic changes throughout a course of radiotherapy in a cohort of head-and-neck cancer patients. METHODS AND MATERIALS The study population consisted of 10 head-and-neck cancer patients treated definitively with intensity-modulated radiotherapy on a helical tomotherapy unit. A total of 330(More)
Modern microprocessors offer more instruction-level parallelism than most programs and compilers can currently exploit. The resulting disparity between a machine's peak and actual performance, while frustrating for computer architects and chip manufacturers, opens the exciting possibility of low-cost instrumentation for measurement, simulation, or(More)
In this work, a method for direct incorporation of patient motion into tomotherapy dose calculations is developed and validated. This computational method accounts for all treatment dynamics and can incorporate random as well as cyclical motion data. Hence, interplay effects between treatment dynamics and patient motion are taken into account during dose(More)
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