Technical Program

Paper Detail

Paper:	SA-PM-PS4.4
Session:	Image Restoration and Enhancement
Time:	Saturday, April 8, 13:30 - 14:50
Presentation:	Poster
Title:	Compensation of Breathing Motion Artifacts in Thoracic PET Images by Wavelet-Based Deconvolution
Authors:	Issam El Naqa; Washington University in St. Louis
	Daniel Low; Washington University in St. Louis
	Jeffrey Bradley; Washington University in St. Louis
	Milos Vicic; Washington University in St. Louis
	Joseph Deasy; Washington University in St. Louis
Abstract:	In biological imaging of thoracic tumors using FDG-PET, blurring due to breathing motion often significantly degrades the quality of the observed image, which then obscures the tumor boundary. The effect could be detrimental in small lesions. We demonstrate a deconvolution technique that combines patient-specific motion estimates of tissue trajectories with wavelet decomposition to compensate for breathing-motion induced artifacts. The lung motion estimates were obtained using a breathing model that maps spatial trajectories in CT data as a function of tidal volume and airflow measured by spirometry. Initial results showed good improvement in the spatial resolution, especially in the direction of major lung motion (craniocaudal) on phantom data as well as on clinical data with large or small tumors.

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