Abstract
In this paper, the impact on image quality and dose reduction related to the use of a synthesized 2D image in digital breast tomosynthesis examinations is analyzed. 2D and 3D images of the TORMAM phantom were acquired at clinical conditions. Syntesized 2D images (C-View) were also obtained. Seven observers scored the detectability and visibility of microcalcification (MC) clusters in both types of images. Low contrast objects were studied measuring contrast-to-noise ratio (CNR) and applying a non-prewhitening matched filter (NPW) model observer. Glandular doses were estimated from a sample of 50 patients. The detectability and visibility of the microcalcification clusters were higher in C-View than in 2D images (50% and 100%, respectively). CNR values were higher for C-View for all contrasts. The NPW got slightly higher detectability values for the lowest contrast details in C-View. We have estimated a dose reduction of 43% by replacing the conventional 2D by the C-View image.
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
Niklason, L.T., Christian, B.T., Niklason, L.E., Kopans, D.B., Castleberry, D.E., Ophsal-Ong, B.H., et al.: Digital tomosynthesis in breast imaging. Radiology 205, 399–406 (1997)
Skaane, P., Bandos, A.I., Gullien, R., Eben, E.B., Ekseth, U., Haakenaasen, U., et al.: Comparison of digital mammography alone and digital mammography plus tomosynthesis in a population-based screening program. Radiology 267, 47–56 (2013)
Feng, S.S., Sechopoulos, I.: Clinical digital breast tomosynthesis system: dosimetric characterization. Radiology 263(1), 35–42 (2012)
Food and Drug Administration. P080003/S001 Hologic Selenia Dimensions C-View Software Module FDA Panel Pack. Sponsor Executive Summary (2013)
Eckstein, M.P., Abbey, C.K., Bochud, F.O.: A practical guide to model observers for visual detection in synthetic and natural noisy images. In: Van Metter, R.L., Beutel, J., Kundel, H.L. (eds.) Handbook of Medical Imaging, vol. 1, pp. 595–628. SPIE-The International Society for Optical Engineering, Washington (2000)
Hernandez-Giron, I., Geleijns, J., Calzado, A., Veldkamp, W.J.H.: Automated assessment of low contrast sensitivity for CT systems using a model observer. Med. Phys. 35, S25–S35 (2011)
Dance, D.R., Young, K.C., Van Engen, R.E.: Estimation of mean glandular dose for breast tomosynthesis: factors for use with the UK, European and IAEA breast dosimetry protocols. Phys. Med. Biol. 56, 453–470 (2011)
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
Garayoa, J., Hernandez-Giron, I., Castillo, M., Valverde, J., Chevalier, M. (2014). Digital Breast Tomosynthesis: Image Quality and Dose Saving of the Synthesized Image. 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_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-07887-8_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07886-1
Online ISBN: 978-3-319-07887-8
eBook Packages: Computer ScienceComputer Science (R0)