Noise power spectrum and modulation transfer function analysis of breast tomosynthesis imaging

The recent commercialization of digital breast tomosynthesis systems realizes the clinical applications of this novel three-dimensional imaging technology. The total dosage of breast tomosynthesis for single patient is comparable to that of the traditional mammography. This paper presents our continuous work on image quality analysis for the optimization of a new multi-beam breast tomosynthesis system based on carbon nanotube X-ray emission technology. Several tomosynthesis reconstruction algorithms were implemented to reconstruct the phantom data. Noise power spectrum and modulation transfer function were investigated to evaluate the image quality.

[1]  Ying Chen,et al.  A comparison between traditional shift-and-add (SAA) and point-by-point back projection (BP) -- relevance to morphology of microcalcifications for isocentric motion in Digital Breast tomosynthesis (DBT) , 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

[2]  Thomas Mertelmeier,et al.  Optimizing filtered backprojection reconstruction for a breast tomosynthesis prototype device , 2006, SPIE Medical Imaging.

[3]  James T Dobbins,et al.  Digital x-ray tomosynthesis: current state of the art and clinical potential. , 2003, Physics in medicine and biology.

[4]  Wei Zhao,et al.  Three-dimensional linear system analysis for breast tomosynthesis. , 2008, Medical physics.

[5]  Ying Chen,et al.  Impulse response characterization of breast tomosynthesis reconstruction with parallel imaging configurations , 2010, Medical Imaging.

[6]  Otto Zhou,et al.  Breast tomosynthesis reconstruction with a multi-beam x-ray source , 2009, Medical Imaging.

[7]  Ying Chen.  Digital breast tomosynthesis (DBT) --- A novel imaging technology to improve early breast cancer detection: Implementation, comparison and optimization , 2007 .

[8]  Ying Chen,et al.  Importance of point-by-point back projection correction for isocentric motion in digital breast tomosynthesis: relevance to morphology of structures such as microcalcifications. , 2007, Medical physics.

[9]  Laurie L Fajardo,et al.  Breast tomosynthesis: present considerations and future applications. , 2007, Radiographics : a review publication of the Radiological Society of North America, Inc.

[10]  Jian Zhang,et al.  Tomosynthesis reconstruction from multi-beam X-ray sources , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

[11]  Guang Yang,et al.  Stationary digital breast tomosynthesis system with a multi-beam field emission x-ray source array , 2008, SPIE Medical Imaging.

[12]  Ying Chen,et al.  Effects of slice thickness filter in filtered backprojection reconstruction with the parallel breast tomosynthesis imaging configuration , 2011, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

[13]  Otto Zhou,et al.  Multiplexing radiography using a carbon nanotube based x-ray source , 2006 .

[14]  Otto Zhou,et al.  Multi-beam x-ray source breast tomosynthesis reconstruction with different algorithms , 2010, Medical Imaging.

[15]  Günter Lauritsch,et al.  Theoretical framework for filtered back projection in tomosynthesis , 1998, Medical Imaging.

[16]  Ying Chen,et al.  Intercomparison of methods for image quality characterization. I. Modulation transfer function. , 2006, Medical physics.

[17]  Ying Chen,et al.  Intercomparison of methods for image quality characterization. II. Noise power spectrum. , 2006, Medical physics.