Real Time Tomography and the University of Pennsylvania Research Project

Real Time Tomography is conducting a research project in collaboration with the University of Pennsylvania to develop a method of validating and optimizing digital breast tomosynthesis reconstruction using an anthropomorphic software breast phantom. 

Research methods have been developed to determine whether regions of adipose and dense tissues in tomosynthesis images are correctly identified to reconstruct images which better preserve gray scale and edge information and to detemine the geometric accuracy of tomosynthesis image reconstruction algorithms.

RTT Technical Papers

 
Validation and optimization of Digital Breast Tomosynthesis Reconstruction using an Anthropomorphic Software Breast Phantom
P. Bakic, S. Ng, P. Ringer, A.K. Carton, E. Conant, A. Maidment.  Proceedings SPIE Medical Imaging 2010.  San Diego, CA.  February 2010.
 Abstract
 
Analysis of Geometric Accuracy in Digital Breast Tomosynthesis Reconstruction
P. Bakic, P. Ringer, J. Kuo, S.Ng and A.Maidment. Proceedings 10th International Workshop, IWDM 2010.  Girona, Catalonia, Spain.  June 16-18, 2010.
 Abstract
 
Dynamic Reconstruction and Rendering of 3D Tomosynthesis Images
Johnny Kuo, Peter A. Ringer, Steven G. Fallows, Predrag R. Bakic, Andrew D. A. Maidment, Susan Ng. Proceedings SPIE Medical Imaging 2011.  Orlando, FL.  February 2011.

RTT-Contributed Technical Papers

Investigating the Potential for Super-Resolution in Digital Breast Tomosynthesis
Raymond J. Acciavatti and Andrew D. A. Maidment.  Proceedings SPIE Medical Imaging 2011.  Orlando, FL. February 2011.
In this paper, a theoretical framework for super resolution (i.e. sub-pixel resolution) in digital breast tomosynthesis was developed.  Phantom and clinical tomosynthesis images were reconstructed using Real Time Tomography's Briona 3D image reconstruction software to demonstrate feasibility.

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