Analysis of geometric accuracy in digital breast tomosynthesis reconstruction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6136 LNCS, Issue , 2010, Pages 62-69

  Bakic, Predrag R ^a   Ringer, Peter ^b   Kuo, Johnny ^b   Ng, Susan ^b   Maidment, Andrew D A ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b Real Time Tomography LLC   (United States)

Author keywords

Anthropomorphic breast phantom; geometric accuracy of tomographic reconstruction; tomographic reconstruction algorithms; tomosynthesis

Indexed keywords

ANTHROPOMORPHIC BREAST PHANTOM; AVERAGE DIFFERENCE; BREAST PHANTOM; DIGITAL BREAST TOMOSYNTHESIS; FIDUCIAL MARKER; GEOMETRIC ACCURACY; GROUND TRUTH; RECONSTRUCTED IMAGE; RECONSTRUCTION ALGORITHMS; SOFTWARE PHANTOM; SUB PIXELS; TOMOGRAPHIC RECONSTRUCTION; TOMOSYNTHESIS;

ALGORITHMS; COMPUTER SOFTWARE; GEOMETRY; REPAIR;

MAMMOGRAPHY;

EID: 77954635696     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13666-5_9     Document Type: Conference Paper

References (5)

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3. CIRS Tissue Simulation and Phantom Technology: Mammographic Accreditation Phantom, http://www.cirsinc.com/015-mammo.html (accessed on January 17, 2009)
4. Bakic, P.R., Albert, M., Brzakovic, D., Maidment, A.D.A.: Mammogram synthesis using a 3D simulation. I. Breast tissue model and image acquisition simulation. Medical Physics 29, 2131-2139 (2002)
5. Zhang, C., Bakic, P.R., Maidment, A.D.A.: Development of an Anthropomorphic Breast Software Phantom Based on Region Growing Algorithm. In: Visualization, Image-guided procedures, and Modeling, Proc. SPIE, vol. 6918 (2008)