Optimal relaxation parameters of dynamic row-action maximum likelihood algorithm and post-smoothing filter for image reconstruction of dedicated breast PET

Satoh, Yoko; Imai, Masamichi; Hirata, Kenji; Asakawa, Yuzo; Ikegawa, Chihiro; Oda, Hiroshi

doi:10.1007/s12149-021-01604-9

Cited by 6 publications

(6 citation statements)

References 24 publications

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“…In the dbPET images obtained with either scanning system in the present study, the higher the β-value and the smaller the post-filter were, the higher the CV BG was. This is consistent with another study of PMT-based PET [ 19 ]. On the other hand, for the PMT-based PET images in this study, the DI of the 3 mm sphere decreased with smaller post-filters, and this is in contrast to a report indicating that the DI of 5 mm spheres increased with smaller post-filters [ 19 ].…”

Section: Discussionsupporting

confidence: 93%

“…Based on previous findings [ 19 ], in the present study, we reconstructed the PMT-based PET images using the β-values of 20 and 100, and we used Gaussian filters of 0, 0.78, 1.17, 1.56, and 1.95 mm full width at half maximum (FWHM) for post-filtering. In contrast, we reconstructed the SiPM-based TOF-PET images using the β-values of 20, 50, 100, and 200, and non-local mean (NLM) post-filters with the smoothing intensities of 0.5, 1.0, and 2.0.…”

Section: Methodsmentioning

confidence: 99%

“…These physical values were calculated as described [ 19 ]. The VOI settings are depicted in Figure 3 .…”

Section: Methodsmentioning

confidence: 99%

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Organ-Specific Positron Emission Tomography Scanners for Breast Imaging: Comparison between the Performances of Prior and Novel Models

et al. 2023

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The performances of photomultiplier tube (PMT)-based dedicated breast positron emission tomography (PET) and silicon photomultiplier tube (SiPM)-based time-of-flight (TOF) PET, which is applicable not only to breast imaging but also to head imaging, were compared using a phantom study. A cylindrical phantom containing four spheres (3–10 mm in diameter) filled with 18F-FDG at two signal-to-background ratios (SBRs), 4:1 and 8:1, was scanned. The phantom images, which were reconstructed using three-dimensional list-mode dynamic row-action maximum likelihood algorithm with various β-values and post-smoothing filters, were visually and quantitatively compared. Visual evaluation showed that the 3 mm sphere was more clearly visualized with higher β and smaller post-filters, while the background was noisier; SiPM-based TOF-PET was superior to PMT-based dbPET in sharpness, smoothness, and detectability, although the background was noisier at the SBR of 8:1. Quantitative evaluation revealed that the detection index (DI) and recovery coefficient (CRC) of SiPM-based TOF-PET images were higher than those of PMT-based PET images, despite a higher background coefficient of variation (CVBG). The two organ-specific PET systems showed that a 3 mm lesion in the breast could be visualized at the center of the detector, and there was less noise in the SiPM-based TOF-PET image.

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Section: Discussionsupporting

confidence: 93%

Section: Methodsmentioning

confidence: 99%

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Organ-Specific Positron Emission Tomography Scanners for Breast Imaging: Comparison between the Performances of Prior and Novel Models

et al. 2023

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“…All reconstructed mages were assessed for contrast between the mammary gland and fat, as well as smoothness (low noise) using a four-point scale (ranging from a score of 0 [not acceptable for diagnosis] to 3 [good]). The final score was the mean of the scores from three readers according to previous reports [ 14 , 15 ].…”

Section: Methodsmentioning

confidence: 99%

Image quality evaluation of real low-dose breast PET

Satoh

Imai²,

Ikegawa³

et al. 2022

Jpn J Radiol

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Purpose To evaluate the clinical feasibility of high-resolution dedicated breast positron emission tomography (dbPET) with real low-dose 18F-2-fluorodeoxy-d-glucose (18F-FDG) by comparing images acquired with full-dose FDG. Materials and methods Nine women with no history of breast cancer and previously scanned by dbPET injected with a clinical 18F-FDG dose (3 MBq/kg) were enrolled. They were injected with 50% of the clinical 18F-FDG dose and scanned with dbPET for 10 min for each breast 60 and 90 min after injection. To investigate the effect of the scan start time and acquisition time on image quality, list-mode data were divided into 1, 3, 5, and 7 min (and 10 min with 50% FDG injected) from the start of acquisition and reconstructed. The reconstructed images were visually and quantitatively compared for contrast between mammary gland and fat (contrast) and for coefficient of variation (CV) in the mammary gland. Results In visual evaluation, the contrast between the mammary gland and fat acquired at a 50% dose for 7 min was comparable and even better in smoothness than that in the images acquired at a 100% dose. No visual difference between the images with a 50% dose was found with scan start times 60 and 90 min after injection. Quantitative evaluation showed a slightly lower contrast in the image at 60 min after 50% dosing, with no difference between acquisition times. There was no difference in CV between conditions; however, smoothness decreased with shorter acquisition time in all conditions. Conclusions The quality of dbPET images with a 50% FDG dose was high enough for clinical application. Although the optimal scan start time for improved lesion-to-background mammary gland contrast remained unknown in this study, it will be clarified in future studies of breast cancer patients.

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“…Recently, dedicated breast PET (dbPET) that specializes in breast imaging has been developed, and basic and clinical studies using dbPET are underway [ 7 , 8 , 9 ]. dbPET can acquire data with higher spatial resolution than whole-body PET, thereby demonstrating higher sensitivity for BC detection [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Proposal to Improve the Image Quality of Short-Acquisition Time-Dedicated Breast Positron Emission Tomography Using the Pix2pix Generative Adversarial Network

et al. 2022

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This study aimed to evaluate the ability of the pix2pix generative adversarial network (GAN) to improve the image quality of low-count dedicated breast positron emission tomography (dbPET). Pairs of full- and low-count dbPET images were collected from 49 breasts. An image synthesis model was constructed using pix2pix GAN for each acquisition time with training (3776 pairs from 16 breasts) and validation data (1652 pairs from 7 breasts). Test data included dbPET images synthesized by our model from 26 breasts with short acquisition times. Two breast radiologists visually compared the overall image quality of the original and synthesized images derived from the short-acquisition time data (scores of 1–5). Further quantitative evaluation was performed using a peak signal-to-noise ratio (PSNR) and structural similarity (SSIM). In the visual evaluation, both readers revealed an average score of >3 for all images. The quantitative evaluation revealed significantly higher SSIM (p < 0.01) and PSNR (p < 0.01) for 26 s synthetic images and higher PSNR for 52 s images (p < 0.01) than for the original images. Our model improved the quality of low-count time dbPET synthetic images, with a more significant effect on images with lower counts.

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Optimal relaxation parameters of dynamic row-action maximum likelihood algorithm and post-smoothing filter for image reconstruction of dedicated breast PET

Cited by 6 publications

References 24 publications

Organ-Specific Positron Emission Tomography Scanners for Breast Imaging: Comparison between the Performances of Prior and Novel Models

Organ-Specific Positron Emission Tomography Scanners for Breast Imaging: Comparison between the Performances of Prior and Novel Models

Image quality evaluation of real low-dose breast PET

Proposal to Improve the Image Quality of Short-Acquisition Time-Dedicated Breast Positron Emission Tomography Using the Pix2pix Generative Adversarial Network

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