Scientific publications

Impact on dose and image quality of a software-based scatter correction in mammography

Monserrat T (1), Prieto E (2), Barbés B (2), Pina L (2), Elizalde A (2), Fernández B (1)

(1) Hospital Universitario Central de Asturias, Oviedo, Spain.
(2) Clínica Universidad de Navarra, Pamplona, Spain.

Magazine: Acta Radiologica

Date: Jan 1, 2017

Mammary Pathology Area Radiophysics and Radiological Protection [SP]

Background

In 2014, Siemens developed a new software-based scatter correction (Progressive Reconstruction Intelligently Minimizing Exposure [PRIME]), enabling grid-less digital mammography.

Purpose

To compare doses and image quality between PRIME (grid-less) and standard (with anti-scatter grid) modes.

Material and Methods

Contrast-to-noise ratio (CNR) was measured for various polymethylmethacrylate (PMMA) thicknesses and dose values provided by the mammograph were recorded. CDMAM phantom images were acquired for various PMMA thicknesses and inverse Image Quality Figure (IQFinv) was calculated.

Values of incident entrance surface air kerma (ESAK) and average glandular dose (AGD) were obtained from the DICOM header for a total of 1088 pairs of clinical cases. Two experienced radiologists compared subjectively the image quality of a total of 149 pairs of clinical cases.

Results

CNR values were higher and doses were lower in PRIME mode for all thicknesses. IQFinv values in PRIME mode were lower for all thicknesses except for 40 mm of PMMA equivalent, in which IQFinv was slightly greater in PRIME mode. A mean reduction of 10% in ESAK and 12% in AGD in PRIME mode with respect to standard mode was obtained. The clinical image quality in PRIME and standard acquisitions resulted to be similar in most of the cases (84% for the first radiologist and 67% for the second one).

Conclusion

The use of PRIME software reduces, in average, the dose of radiation to the breast without affecting image quality. This reduction is greater for thinner and denser breasts.

CITATION  Acta Radiol. 2017 Jan 1:284185117730100. doi: 10.1177/0284185117730100

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