Abstract
This study compares the quantitative potential of cone-beam dedicated breast CT (bCT) and digital breast tomosynthesis (DBT) for contrastenhanced (CE) imaging in the assessment of 3D lesion extent and iodinated contrast-agent uptake. bCT and DBT topologies were modeled assuming perfect energy-integrating detectors. Projection images were simulated using optimized spectra for iodine imaging and primary photons only. Lesion extent and lesion-to-background-contrast were measured in reconstructed images of breast tissue equivalent phantoms containing iodinated lesions. Lesion extent was estimated using an automatic estimator. A full factorial experiment was used to evaluate the effect of 3D lesion dimension, position and iodine concentration on measurement precision. Preliminary results show that for CE-DBT and CEbCT, precision is similar in the in-plane direction, while CE-bCT is superior in the depth direction. Lesion-to-background-contrast greatly depends on lesion diameter in CE-DBT and is almost independent of lesion diameter for CE-bCT.
Chapter PDF
References
Carton, A.-K., et al.: Effects of image lag and scatter for dual-energy contrast-enhanced digital breast tomosynthesis using a CsI flat-panel based system. In: Proceedings of SPIE, pp. 79611D–79611D-5 (2011)
Lindfors, K.K., Boone, J.M., et al.: Dedicated Breast CT: Initial Clinical Experience. Radiology 246, 725 (2008)
Boone, J.M., Kwan, A.L.C., et al.: Technique factors and their relationship to radiation dose in pendant geometry breast CT. Radiology, 3767–3776 (2005)
Birch, R., et al.: Computation of bremsstrahlung Xray spectra and comparison with spectra measured with a Ge(Li) detector. Physics in Medicine and Biology 24, 505–517 (1979)
Cranley, K., et al.: Catalogue of Diagnostic X-Ray Spectra and Other Data (1997)
Boone, J.M., Seibert, J.A.: An accurate method for computer-generating tungsten anode x-ray spectra from 30 to 140 kV. Medical Physics 24, 1661–1670 (1997)
Boone, J.M.: Normalized glandular dose (DgN) coefficients for arbitrary x-ray spectra in mammography: Computer-fit values of Monte Carlo derived data. Medical Physics 29, 869 (2002)
Boone, J.M., et al.: A comprehensive analysis of DgNCT coefficients for pendant-geometry cone-beam breast computed tomography. Medical Physics 31, 226 (2004)
Puong, S., et al.: Dual-energy contrast enhanced digital mammography using a new approach for breast tissue canceling. In: Proceedings of SPIE, vol. 6510, pp. 65102H–65102H-12 (2007)
Prionas, N., Lindfors, K., Ray, S., Huang, S.: Contrast-enhanced Dedicated Breast CT: Initial Clinical Experience. Radiology 256 (2010)
Puong, S., et al.: Dual-energy contrast enhanced digital mammography: theoretical and experimental study of optimal monoenergetic beam parameters using synchrotron radiation. In: Proceedings of SPIE, vol. 7258, pp. 72583U–72583U-10 (2009)
Puong, S., et al.: Optimization of beam parameters and iodine quantification in dual-energy contrast enhanced digital breast tomosynthesis. In: Proceedings of SPIE, vol. 6913, pp. 69130Z–69130Z-11 (2008)
Weigel, M., Vollmar, S.V., Kalender, W.A.: Spectral optimization for dedicated breast CT. Medical Physics 38, 114 (2011)
Kunze, H., Haerer, W., et al.: Filter determination for tomosynthesis aided by iterative reconstruction techniques. In: 9th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, pp. 309–312 (2007)
Man, B.D., Basu, S., et al.: CatSim: a new computer assisted tomography simulation environment. In: Proceedings of SPIE, vol. 6510, pp. 1–8 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
de Carvalho, P.M., Carton, AK., Iordache, R., Saab-Puong, S., Muller, S. (2012). Comparison of Lesion Extent and Contrast-Agent Uptake in Breast Tomosynthesis versus Cone-Beam Breast CT. In: Maidment, A.D.A., Bakic, P.R., Gavenonis, S. (eds) Breast Imaging. IWDM 2012. Lecture Notes in Computer Science, vol 7361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31271-7_56
Download citation
DOI: https://doi.org/10.1007/978-3-642-31271-7_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31270-0
Online ISBN: 978-3-642-31271-7
eBook Packages: Computer ScienceComputer Science (R0)