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Characterization of photon-counting multislit breast tomosynthesis.

Karl Berggren1,2, Björn Cederström2, Mats Lundqvist2

  • 1Physics of Medical Imaging, Royal Institute of Technology, AlbaNova University Center, 106 91, Stockholm, Sweden.

Medical Physics
|November 22, 2017
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Summary

This study characterizes a novel spectral breast tomosynthesis system using a photon-counting detector. The system achieves high image quality at low doses, promising improved cancer detection and reduced callbacks in screening mammography.

Keywords:
ASFDQEMTFphoton-countingspectral imagingtomosynthesis

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Area of Science:

  • Medical Imaging
  • Radiology
  • Photon-Counting Detectors

Background:

  • Breast tomosynthesis offers improved sensitivity and specificity over 2D mammography.
  • Spectral imaging can further enhance diagnostic capabilities by providing material-specific information.

Purpose of the Study:

  • To characterize a prototype multislit breast tomosynthesis system with single-scan spectral imaging capabilities.
  • To evaluate image quality metrics including modulation transfer function (MTF), noise power spectrum, and detective quantum efficiency (DQE).

Main Methods:

  • Utilized a dual-threshold photon-counting detector with 21 collimated line detectors.
  • Evaluated three reconstruction methods: simple back-projection, filtered back-projection, and iterative algebraic reconstruction.
  • Assessed image quality using MTF, normalized noise-power spectrum, DQE, and artifact spread-function (ASF) across two energy bins.

Main Results:

  • Negligible energy dependence on resolution observed (MTF varied by reconstruction method).
  • Zero-frequency DQE was 0.72, indicating high efficiency.
  • Scantimes ranged from 4s to 16.5s, with a high-energy bin fraction of 59%.

Conclusions:

  • The characterized system produces high-quality spectral tomosynthesis images at low doses.
  • High DQE supports its utility in low-dose screening applications.
  • Single-scan spectral imaging enables advanced applications like material decomposition and contrast-enhanced imaging.