Songxiang Gu

Learn More
Patient motion is inevitable in SPECT and PET due to the lengthy period of time patients are imaged and patient motion can degrade diagnostic accuracy. The goal of our studies is to perfect a methodology for tracking and correcting patient motion when it occurs. In this paper we report on enhancements to the calibration, camera stability, accuracy of motion(More)
Patient motion degrades the quality of SPECT studies. Body bend and twist are types of patient deformation, which may occur during SPECT imaging, and which has been generally ignored in SPECT motion correction strategies. To correct for these types of motion, we propose a deformation model and its inclusion within an iterative reconstruction algorithm. Two(More)
– Patient motion during SPECT imaging has been shown to produce artifacts. Our previous work has corrected for patient motion using an optical imaging system to detect retro-reflective markers on the patient's surface. This paper makes two contributions to this work: 1) We introduce an algorithm that allows an arbitrary marker pattern and gives technicians(More)
This paper describes a quick 3D-to-2D point matching algorithm. Our major contribution is to substitute a new O(2 n) algorithm for the traditional N ! method by introducing a convex hull based enumer-ator. Projecting a 3D point set into a 2D plane yields a corresponding 2D point set. In some cases, matching information is lost. Therefore, we wish to recover(More)
During SPECT imaging, a patient must remain motionless for 20 minutes or more. Without compensation, patient motion can compromise diagnostic accuracy. As the first step in compensation, we propose stereo-optical tracking of retro-reflective spheres attached to stretchy bands wrapped about the patients to estimate patient motion. Camera calibration is a(More)
  • 1