Technical Program

Paper Detail

Paper:	SU-AM-OS3.2
Session:	Tomography and Image Reconstruction
Time:	Sunday, April 9, 09:50 - 10:10
Presentation:	Oral
Title:	Tomosynthesis Reconstruction from Multi-Beam X-Ray Sources
Authors:	David Lalush; North Carolina State University
	Enzhuo Quan; North Carolina State University
	Ramya Rajaram; University of North Carolina at Chapel Hill
	Jian Zhang; University of North Carolina at Chapel Hill
	Jianping Lu; University of North Carolina at Chapel Hill
	Otto Zhou; University of North Carolina at Chapel Hill
Abstract:	We investigate methods for reconstructing tomosynthesis data using arrays of microfabricated X-ray sources and area CCD detectors. Tomosynthesis is a 3D imaging technique that uses multiple radiographic images taken from a movable X-ray source. In our implementation, the moving X-ray source is replaced with multiple field-emission X-ray sources. Reconstruction is performed using the ordered-subsets convex (OSC) algorithm with pre-computed geometry factors and an image shearing technique for efficiency. Because of limited depth resolution, reconstructions are computed on non-cubic voxels for relatively thick slabs. We demonstrate the capabilities of the reconstruction technique on simulated data and breast phantom data from a prototype device. We conclude that this implementation of the OSC algorithm is effective for reconstructing tomosynthesis datasets.

ISBI 2006 is sponsored by

and organized in cooperation with