Optimization of acquisition parameters for the detection of secondary breast lesions applying temporal contrast enhanced digital mammography

Castillo-Lopez, J. P.; Cruz-Rodríguez, J. C.; Galván-Espinoza, Héctor Alejandro; Berumen, Francisco; Villaseñor‐Navarro, Yolanda; Brandan, M. E.

doi:10.1117/12.2318672

Cited by 4 publications

(5 citation statements)

References 19 publications

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“…To generate the dual‐energy images, we used the radiological technique previously optimized by Castillo et al. for CEM acquisitions 22 . Low‐energy images were acquired at 31 kV using the rhodium filter, resulting in a spectrum with average energy of 19.2 keV and a half‐value layer (HVL) of 0.57 mm Al.…”

Section: Methodsmentioning

confidence: 99%

“…As a proof of concept, we applied the dual‐energy decomposition method to patient images retrospectively collected from a previous research protocol 22 . The protocol included 14 women with suspected multicentric breast cancer, and it involved the acquisition of various MRI sequences and a CEM study.…”

Section: Methodsmentioning

confidence: 99%

“…for CEM acquisitions. 22 Low‐energy images were acquired at 31 kV using the rhodium filter, resulting in a spectrum with average energy of 19.2 keV and a half‐value layer (HVL) of 0.57 mm Al. High‐energy images were acquired at 45 kV with the aluminum filter plus an additional 5 mm of external aluminum filtering, resulting in an average energy of 33.3 keV and HVL of 2.55 mm Al.…”

Section: Methodsmentioning

confidence: 99%

“…As a proof of concept, we applied the dual‐energy decomposition method to patient images retrospectively collected from a previous research protocol. 22 The protocol included 14 women with suspected multicentric breast cancer, and it involved the acquisition of various MRI sequences and a CEM study. In order to minimize the possible effect of the iodine presence in the mammography images, only the craniocaudal images of the breast contralateral to the lesion were analyzed.…”

Section: Methodsmentioning

confidence: 99%

“…To generate the dual-energy images, we used the radiological technique previously optimized by Castillo et al for CEM acquisitions. 22 Low-energy images were acquired at 31 kV using the rhodium filter, resulting in a spectrum with average energy of 19.2 keV and a half -value layer (HVL) of 0.57 mm Al. High-energy images were acquired at 45 kV with the aluminum filter plus an additional 5 mm of external aluminum filtering, resulting in an average energy of 33.3 keV and HVL of 2.55 mm This choice of dual-energy spectra is justified since, at present, CEM studies have gained wide acceptance and are being used extensively in clinical settings.…”

Section: Breast Density Quantification In Virtual Phantomsmentioning

confidence: 99%

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Breast density quantification in dual‐energy mammography using virtual anthropomorphic phantoms

Pacheco,

Castillo‐Lopez,

Villaseñor‐Navarro

et al. 2024

J Applied Clin Med Phys

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PurposeBreast density is a significant risk factor for breast cancer and can impact the sensitivity of screening mammography. Area‐based breast density measurements may not provide an accurate representation of the tissue distribution, therefore volumetric breast density (VBD) measurements are preferred. Dual‐energy mammography enables volumetric measurements without additional assumptions about breast shape. In this work we evaluated the performance of a dual‐energy decomposition technique for determining VBD by applying it to virtual anthropomorphic phantoms.MethodsThe dual‐energy decomposition formalism was used to quantify VBD on simulated dual‐energy images of anthropomorphic virtual phantoms with known tissue distributions. We simulated 150 phantoms with volumes ranging from 50 to 709 mL and VBD ranging from 15% to 60%. Using these results, we validated a correction for the presence of skin and assessed the method's intrinsic bias and variability. As a proof of concept, the method was applied to 14 sets of clinical dual‐energy images, and the resulting breast densities were compared to magnetic resonance imaging (MRI) measurements.ResultsVirtual phantom VBD measurements exhibited a strong correlation (Pearson's ) with nominal values. The proposed skin correction eliminated the variability due to breast size and reduced the bias in VBD to a constant value of −2%. Disagreement between clinical VBD measurements using MRI and dual‐energy mammography was under 10%, and the difference in the distributions was statistically non‐significant. VBD measurements in both modalities had a moderate correlation (Spearman's = 0.68).ConclusionsOur results in virtual phantoms indicate that the material decomposition method can produce accurate VBD measurements if the presence of a third material (skin) is considered. The results from our proof of concept showed agreement between MRI and dual‐energy mammography VBD. Assessment of VBD using dual‐energy images could provide complementary information in dual‐energy mammography and tomosynthesis examinations.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Breast Density Quantification In Virtual Phantomsmentioning

confidence: 99%

See 3 more Smart Citations