Literature DB >> 33263161

Spiral breast computed tomography (CT): signal-to-noise and dose optimization using 3D-printed phantoms.

Manon Germann1, Sojin Shim2, Florian Angst2, Natalia Saltybaeva2, Andreas Boss2.   

Abstract

OBJECTIVES: To investigate the dependence of signal-to-noise ratio (SNR) and calculated average dose per volume of spiral breast-CT (B-CT) on breast size and breast density and to provide a guideline for choosing the optimal tube current for each B-CT examination.
MATERIALS AND METHODS: Three representative B-CT datasets (small, medium, large breast size) were chosen to create 3D-printed breast phantoms. The phantoms were filled with four different agarose-oil-emulsions mimicking differences in breast densities. Phantoms were scanned in a B-CT system with systematic variation of the tube current (6, 12.5, 25, 32, 40, 50, 64, 80, 100, 125 mA). Evaluation of SNR and the average dose per volume using Monte Carlo simulations were performed for high (HR) and standard (STD) spatial resolution.
RESULTS: SNR and average dose per volume increased with increasing tube current. Artifacts had negligible influence on image evaluation. SNR values ≥ 35 (HR) and ≥ 100 (STD) offer sufficient image quality for clinical evaluation with SNR being more dependent on breast density than on breast size. For an average absorbed dose limit of 6.5 mGy for the medium and large phantoms and 7 mGy for the small phantom, optimal tube currents were either 25 or 32 mA.
CONCLUSIONS: B-CT offers the possibility to vary the X-ray tube current, allowing image quality optimization based on individual patient's characteristics such as breast size and density. This study describes the optimal B-CT acquisition parameters, which provide diagnostic image quality for various breast sizes and densities, while keeping the average dose at a level similar to digital mammography. KEY POINTS: • Image quality optimization based on breast size and density varying the tube current using spiral B-CT.

Entities:  

Keywords:  Breast cancer; Monte Carlo method; Radiation dosage; Signal-to-noise ratio; Spiral CT

Mesh:

Year:  2020        PMID: 33263161     DOI: 10.1007/s00330-020-07549-3

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  1 in total

1.  Lesion Detectability and Radiation Dose in Spiral Breast CT With Photon-Counting Detector Technology: A Phantom Study.

Authors:  Sojin Shim; Natalia Saltybaeva; Nicole Berger; Magda Marcon; Hatem Alkadhi; Andreas Boss
Journal:  Invest Radiol       Date:  2020-08       Impact factor: 6.016

  1 in total
  2 in total

1.  Breast Cancer Screening: Opportunities and Challenges with Fully 3D Tomographic X-Ray Imaging.

Authors:  Srinivasan Vedantham; Andrew Karellas
Journal:  Bridge (Wash D C)       Date:  2022-03-28

2.  Detection of Microcalcifications in Spiral Breast Computed Tomography with Photon-Counting Detector Is Feasible: A Specimen Study.

Authors:  Matthias Wetzl; Evelyn Wenkel; Eva Balbach; Ebba Dethlefsen; Arndt Hartmann; Julius Emons; Christiane Kuhl; Matthias W Beckmann; Michael Uder; Sabine Ohlmeyer
Journal:  Diagnostics (Basel)       Date:  2021-05-09
  2 in total

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