Efficient synthesis of virtual projections from a tomosynthesis data set using a 2D image processing method

Frank Dennerlein; Anna Jerebko; Andreas Fieselmann; Thomas Mertelmeier

doi:10.1117/12.2008011

6 March 2013 Efficient synthesis of virtual projections from a tomosynthesis data set using a 2D image processing method

Frank Dennerlein, Anna Jerebko, Andreas Fieselmann, Thomas Mertelmeier

Author Affiliations +

Proceedings Volume 8668, Medical Imaging 2013: Physics of Medical Imaging; 86680W (2013) https://doi.org/10.1117/12.2008011
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

A new algorithm is suggested to compute one or several virtual projection images directly from cone-beam data acquired in a tomosynthesis geometry. One main feature of this algorithm is that it does not involve the explicit reconstruction of a 3D volume, and a subsequent forward-projection operation, but rather operates using solely 2D image processing steps. The required 2D processing is furthermore based on the use of pre-computed entities, so that a significant speed-up in the computations can be obtained. The presented algorithm can be applied to a variety of CT geometries, and is here investigated for a mammography application, to simulate virtual mammograms from a set of low-dose tomosynthesis projection images. A first evaluation from real measured data is given.

Citation Download Citation

Frank Dennerlein, Anna Jerebko, Andreas Fieselmann, and Thomas Mertelmeier "Efficient synthesis of virtual projections from a tomosynthesis data set using a 2D image processing method", Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86680W (6 March 2013); https://doi.org/10.1117/12.2008011

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