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Proceedings Paper

Lesion characterization in spectral photon-counting tomosynthesis
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Paper Abstract

It has previously been shown that 2D spectral mammography can be used to discriminate between (likely benign) cystic and (potentially malignant) solid lesions in order to reduce unnecessary recalls in mammography. One limitation of the technique is, however, that the composition of overlapping tissue needs to be interpolated from a region surrounding the lesion. The purpose of this investigation was to demonstrate that lesion characterization can be done with spectral tomosynthesis, and to investigate whether the 3D information available in tomosynthesis can reduce the uncertainty from the interpolation of surrounding tissue. A phantom experiment was designed to simulate a cyst and a tumor, where the tumor was overlaid with a structure that made it mimic a cyst. In 2D, the two targets appeared similar in composition, whereas spectral tomosynthesis revealed the exact compositional difference. However, the loss of discrimination signal due to spread from the plane of interest was of the same strength as the reduction of anatomical noise. Results from a preliminary investigation on clinical tomosynthesis images of solid lesions yielded results that were consistent with the phantom experiments, but were still to some extent inconclusive. We conclude that lesion characterization is feasible in spectral tomosynthesis, but more data, as well as refinement of the calibration and discrimination algorithms, are needed to draw final conclusions about the benefit compared to 2D.

Paper Details

Date Published: 9 March 2017
PDF: 10 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 1013205 (9 March 2017); doi: 10.1117/12.2253966
Show Author Affiliations
Björn Cederström, Phillips Healthcare (Sweden)
Erik Fredenberg, Phillips Healthcare (Sweden)
Karl Berggren, Phillips Healthcare (Sweden)
KTH Royal Institute of Technology (Sweden)
Klaus Erhard, Philips Research Labs. (Germany)
Mats Danielsson, KTH Royal Institute of Technology (Sweden)
Matthew Wallis, Addenbrooke's Hospital (United Kingdom)


Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)

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