Evaluation of digital breast tomosynthesis reconstruction algorithms using synchrotron radiation in standard geometry.
OBJECTIVE
In this article, the image quality of reconstructed volumes by four algorithms for digital tomosynthesis, applied in the case of breast, is investigated using synchrotron radiation.


METHODS
An angular data set of 21 images of a complex phantom with heterogeneous tissue-mimicking background was obtained using the SYRMEP beamline at ELETTRA Synchrotron Light Laboratory, Trieste, Italy. The irradiated part was reconstructed using the multiple projection algorithm (MPA) and the filtered backprojection with ramp followed by hamming windows (FBR-RH) and filtered backprojection with ramp (FBP-R). Additionally, an algorithm for reducing the noise in reconstructed planes based on noise mask subtraction from the planes of the originally reconstructed volume using MPA (MPA-NM) has been further developed. The reconstruction techniques were evaluated in terms of calculations and comparison of the contrast-to-noise ratio (CNR) and artifact spread function.


RESULTS
It was found that the MPA-NM resulted in higher CNR, comparable with the CNR of FBP-RH for high contrast details. Low contrast objects are well visualized and characterized by high CNR using the simple MPA and the MPA-NM. In addition, the image quality of the reconstructed features in terms of CNR and visual appearance as a function of the initial number of projection images and the reconstruction arc was carried out. Slices reconstructed with more input projection images result in less reconstruction artifacts and higher detail CNR, while those reconstructed from projection images acquired in reduced angular range causes pronounced streak artifacts.


CONCLUSIONS
Of the reconstruction algorithms implemented, the MPA-NM and MPA are a good choice for detecting low contrast objects, while the FBP-RH, FBP-R, and MPA-NM provide high CNR and well outlined edges in case of microcalcifications.
Bliznakova
K
K
Department of Medical Physics, School of Medicine, University of Patras, Rio, Patras GR-26500, Greece.
Kolitsi
Z
Z
Speller
R D
RD
Horrocks
J A
JA
Tromba
G
G
Pallikarakis
N
N
D000465:Algorithms; D016477:Artifacts; D001940:Breast / Q000473:pathology*; D001943:Breast Neoplasms / Q000473:pathology* / Q000532:radiotherapy*; D003287:Contrast Media / Q000494:pharmacology; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional / Q000379:methods; D019047:Phantoms, Imaging; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods; D012984:Software; D017356:Synchrotrons; D013997:Time Factors; D014054:Tomography / Q000379:methods
D003287:Contrast Media