Effect of source blur on digital breast tomosynthesis reconstruction

Zheng, Jiabei; Fessler, Jeffrey A.; Chan, Heang Ping

doi:10.1002/mp.13801

Cited by 12 publications

(17 citation statements)

References 18 publications

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“…61,62 This could potentially improve calcification detection for both SM and DBT. Software options include modeling source blurring in the reconstruction, which has the potential to improve image quality for continuous motion acquisition DBT systems 63,64 and could be applied to the reconstruction steps used in SM algorithms. Improved SM algorithms 65 and methods utilizing artificial intelligence 66 are likely to improve lesion detectability in SM images in the future.DBT reconstruction and SM algorithms may make assumptions on the image content expected to be present in the breast.…”

Section: The Synthetic Mammogrammentioning

confidence: 99%

The impact on lesion detection via a multi‐vendor study: A phantom‐based comparison of digital mammography, digital breast tomosynthesis, and synthetic mammography

et al. 2021

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The aim of this study is to perform a test object-based comparison of the imaging performance of digital mammography (DM), digital breast tomosynthesis (DBT), and synthetic mammography (SM). Methods: Two test objects were used, the CDMAM and the L1-structured phantom. Small-detail detectability was assessed using CDMAM and the microcalcification simulating specks in the L1-structured background. Detection of spiculated and non-spiculated mass-like objects was assessed using the L1 phantom. Six different systems were included: Amulet Innovality (Fujifilm), Senographe Pristina (GEHC), 3Dimensions (Hologic), Giotto Class (IMS), Clarity 2D/3D (Planmed), and Mammomat Revelation (Siemens). Images were acquired under automatic exposure control (AEC) and at adjusted levels of AEC/2 and 2 × AEC level. Threshold gold thickness (T tr ) was established for the 0.13-mm-diameter CDMAM discs. Threshold diameters for the calcifications (d tr_c ), the spiculated masses (d tr_sm ), and for the non-spiculated masses (d tr_nsm ) were established. The threshold condition was defined as the thickness or diameter for a 62.5% correct score. Results: T tr for DM was generally superior to DBT, which in turn was superior to SM, but for most systems, these differences between modes were not significant. For L1, no significant differences in d tr_c were found between DM and DBT. The increase in d tr_c from DM to SM at AEC dose was 1%, 19%, 11%, 14%, 46%, and 27% for the Fujifilm, GEHC, Hologic, IMS, Planmed, and Siemens, respectively, indicating significantly poorer performance for all vendors except for Fujifilm, Hologic, and IMS. For both mass types, DBT performed better than SM, while SM showed no significant difference with DM (except for Fujifilm spiculated masses). The dose had an impact on small-detail detectability for both phantoms but did not influence the detection of either mass type. Conclusions: Both phantoms indicated potentially reduced small-detail detectability for SM versus DM and DBT and should therefore not be used in stand-alone mode. The L1 phantom demonstrated no significant difference in microcalcification detection between DM and DBT and also demonstrated the superiority of DBT, compared to DM for mass detection, for all six systems.

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Section: The Synthetic Mammogrammentioning

confidence: 99%

The impact on lesion detection via a multi‐vendor study: A phantom‐based comparison of digital mammography, digital breast tomosynthesis, and synthetic mammography

et al. 2021

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“…For comparison of the two acquisition modes in DBT systems, modulation transfer function (MTF) and contrast were calculated using simulated phantoms [ 10 , 11 ]. While they showed the blurring effect of X-ray source motion, there is a limitation as simulation studies that do not reflect physical factors (e.g., quantum noise, scattered radiation, and detector correlation).…”

Section: Introductionmentioning

confidence: 99%

Effect of optical blurring of X-ray source on breast tomosynthesis image quality: Modulation transfer function, anatomical noise power spectrum, and signal detectability perspectives

Lee

Baek

2022

PLoS ONE

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We investigated the effect of the optical blurring of X-ray source on digital breast tomosynthesis (DBT) image quality using well-designed DBT simulator and table-top experimental systems. To measure the in-plane modulation transfer function (MTF), we used simulated sphere phantom and Teflon sphere phantom and generated their projection data using two acquisition modes (i.e., step-and-shoot mode and continuous mode). After reconstruction, we measured the in-plane MTF using reconstructed sphere phantom images. In addition, we measured the anatomical noise power spectrum (aNPS) and signal detectability. We constructed simulated breast phantoms with a 50% volume glandular fraction (VGF) of breast anatomy using the power law spectrum and inserted spherical objects with 1 mm, 2 mm, and 5 mm diameters as breast masses. Projection data were acquired using two acquisition modes, and in-plane breast images were reconstructed using the Feldkamp-Davis-Kress (FDK) algorithm. For the experimental study, we used BR3D breast phantom with 50% VGF and obtained projection data using a table-top experimental system. To compare the detection performance of the two acquisition modes, we calculated the signal detectability using the channelized Hotelling observer (CHO) with Laguerre-Gauss (LG) channels. Our results show that spatial resolution of in-plane image in continuous mode was degraded due to the optical blurring of X-ray source. This blurring effect was reflected in aNPS, resulting in large β values. From a signal detectability perspective, the signal detectability in step-and-shoot mode is higher than that in continuous mode for small spherical signals but not large spherical signals. Although the step-and-shoot mode has disadvantage in terms of scan time compared to the continuous mode, scanning in step-and-shoot mode is better for detecting small signals, indicating that there is a tradeoff between scan time and image quality.

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“…For example, artifact spread function and focal spot motion have been used for this purpose [4,5]. The European Reference Organization for Quality Assured Breast Screening and Diagnostic Services (EUREF) has published its guideline on breast tomosynthesis image quality [6].…”

Section: Introductionmentioning

confidence: 99%

Effect of Bead Device Diameter on Z-Resolution Measurement in Tomosynthesis Images: A Simulation Study

Fukui

Numata

Nishioka

et al. 2022

Progress in Medical Physics

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To clarify the relationship between the diameter of the simulated bead and the Z-resolution of the tomosynthesis image.Methods: A simulated bead was placed on a 1,024×1,024×1,024-pixel base image. The diameters were set to 0.025, 0.05, 0.1, 0.2, 0.3, 0.7, 1.0, and 1.3 mm. A bead was placed at the center of the base image and projected at a simulated X-ray angle range of ±45° to obtain a projected image. A region of interest was placed at the center of the bead image and the slice sensitivity profile (SSP) was obtained by acquiring pixel values in the z-direction. The full width at half maximum of the SSP was defined as the Z-resolution and the frequency response was obtained by the 1-D Fourier transform of the SSP.Results: Z-resolution increased with increasing bead diameter. However, there was no change in Z-resolution between 0.025 and 0.1 mm. The frequency response was similar to that of the Z-resolution, with a significant difference between 0.1 and 0.2 mm diameter.Conclusions: Z-resolution is dependent on the diameter of the bead, which should be selected considering the pixel size of the tomosynthesis image.

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Effect of source blur on digital breast tomosynthesis reconstruction

Cited by 12 publications

References 18 publications

The impact on lesion detection via a multi‐vendor study: A phantom‐based comparison of digital mammography, digital breast tomosynthesis, and synthetic mammography

The impact on lesion detection via a multi‐vendor study: A phantom‐based comparison of digital mammography, digital breast tomosynthesis, and synthetic mammography

Effect of optical blurring of X-ray source on breast tomosynthesis image quality: Modulation transfer function, anatomical noise power spectrum, and signal detectability perspectives

Effect of Bead Device Diameter on Z-Resolution Measurement in Tomosynthesis Images: A Simulation Study

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