Abstract
Digital breast tomosynthesis (DBT) slices are reconstructed from projections acquired within a limited angular range. Out-of-plane artifacts are inevitable in reconstructed DBT images. In this study, we evaluated novel image processing techniques in the framework of filtered backprojection (FBP) and compared the results with reconstruction using a previously used FBP method. The novel FBP reconstruction has an adapted filter kernel, uses unbinned projections, performs an adaptive collapsing scheme and statistical artifact reduction, and applies iterative filtering in the image domain. Fifty-four image pairs were evaluated by three experienced radiologists. The images were compared on a 7-point scale (-3, -2, -1, 0, +1, +2, and +3) according to the following five categories: (1) visibility of noise, (2) diagnostic certainty regarding masses, (3) diagnostic certainty regarding microcalcifications, (4) visibility of structures in the pectoral muscle, and (5) overall image quality. The results showed a statistically significant superiority of the novel FBP reconstruction in comparison with standard FBP (p < 0.05). In particular, the improvement of the diagnostic certainty related to microcalcifications with the novel FBP is noteworthy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Poplack, S.P., Tosteson, T.D., Kogel, C.A., et al.: Digital breast tomosynthesis: initial experience in 98 women with abnormal digital screening mammography. AJR 189(3), 616–623 (2007)
Andersson, I., Ikeda, D.M., Zackrisson, S., et al.: Breast tomosynthesis and digital mammography: a comparison of breast cancer visibility and BIRADS classification in a population of cancers with subtle mammographic findings. Eur. Radiol. 18(12), 2817–2825 (2008)
Good, W.F., Abrams, G.S., Catullo, V.J., et al.: Digital breast tomosynthesis: a pilot observer study. AJR 190(4), 865–869 (2008)
Gennaro, G., Toledano, A., Di Maggio, C., et al.: Digital breast tomosynthesis versus digital mammography: a clinical performance study. Eur. Radiol. 20(7), 1545–1553 (2010)
Uchiyama, N., Kinoshita, T., Akashi, S., et al.: Diagnostic Performance of Combined Full Field Digital Mammography (FFDM) and Digital Breast Tomosynthesis (DBT) in comparison with Full Field Digital Mammography (FFDM). In: CARS 2011, pp. 32–33. Springer (2011)
Förnvik, D., Zackrisson, S., Ljungberg, O., et al.: Breast tomosynthesis: Accuracy of tumor measurement compared with digital mammography and ultrasonography. Acta. Radiol. 51(3), 240–247 (2010)
Dobbins, J.T., Godfrey, D.J.: Digital x-ray tomosynthesis: current state of the art and clinical potential. Phys. Med. Biol. 106, R65–R106 (2003)
Rinkel, J., Dillon, W.P., Funk, T., Gould, R., Prevrhal, S.: Computed tomographic metal artifact reduction for the detection and quantitation of small features near large metallic implants: a comparison of published methods. J. Comput. Assist. Tomogr. 32(4), 621–629 (2008)
Mertelmeier, T., Orman, J., Haerer, W., et al.: Optimizing filtered backprojection reconstruction for a breast tomosynthesis prototype device. In: Proc. SPIE Medical Imaging 2006, vol. 6142, p. 61420F (2006)
Wu, T., Moore, R.H., Kopans, D.B.: Voting strategy for artifact reduction in digital breast tomosynthesis. Medical Physics 33, 24612471 (2006)
Abdurahman, S., Jerebko, A., Mertelmeier, T., Lasser, T., Navab, N.: Out-of-Plane Artifact Reduction in Tomosynthesis Based on Regression Modeling and Outlier Detection. In: Maidment, A.D.A., Bakic, P.R., Gavenonis, S. (eds.) IWDM 2012. LNCS, vol. 7361, pp. 729–736. Springer, Heidelberg (2012)
Abdurahman, S., Dennerlein, F., Jerebko, A., Fieselmann, A., Mertelmeier, T.: Optimizing high resolution reconstruction. In: Digital Breast Tomosynthesis using Filtered Back Projection. accepted at IWDM 2014 (2014)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Uchiyama, N. et al. (2014). Clinical Efficacy of Novel Image Processing Techniques in the Framework of Filtered Back Projection (FBP) with Digital Breast Tomosynthesis (DBT). In: Fujita, H., Hara, T., Muramatsu, C. (eds) Breast Imaging. IWDM 2014. Lecture Notes in Computer Science, vol 8539. Springer, Cham. https://doi.org/10.1007/978-3-319-07887-8_45
Download citation
DOI: https://doi.org/10.1007/978-3-319-07887-8_45
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07886-1
Online ISBN: 978-3-319-07887-8
eBook Packages: Computer ScienceComputer Science (R0)