Enhancing the Diagnostic Accuracy of Amyloid PET: The Impact of MR-Guided PET Reconstruction [0.03%]
M Mehdi Khalighi,Christina B Young,Skylar Weiss et al.
M Mehdi Khalighi et al.
18F-Florbetaben (FBB) uptake in the supratentorial cortex is indicative of amyloid positivity. Due to PET's low spatial resolution, image noise, and spill-over of signal from adjacent white-matter into gray-matter, trained readers may provi...
Yongyi Shi,Chuang Niu,Wenjun Xia et al.
Yongyi Shi et al.
Photon-counting computed tomography (PCCT) has emerged as a transformative imaging modality, enabling enhanced spatial resolution, and multi-energy acquisition with energy-discriminating detectors of significantly smaller detector elements....
Time-of-Flight Requirements to Mitigate Blurring Induced by Annihilation Photon Acollinearity [0.03%]
基于湮没辐射非同向性的飞梭时间要求以减轻模糊效应
Maxime Toussaint,Francis Loignon-Houle,Jean-Pierre Dussault et al.
Maxime Toussaint et al.
One of the limiting factors of spatial resolution in positron emission tomography (PET) imaging is annihilation photon acollinearity (APA). For whole-body PET scanners, APA induces a blur ranging from 1.7 to 2.2 mm FWHM. For long axial fiel...
Context-Aware Transformer GAN for Direct Generation of Attenuation and Scatter Corrected PET Data [0.03%]
一种上下文感知的变压器对抗网络直接生成衰减和散射校正正电子发射断层扫描数据的方法
Mojtaba Jafaritadi,Emily Anaya,Garry Chinn et al.
Mojtaba Jafaritadi et al.
We present a context-aware generative deep learning framework to produce photon attenuation and scatter corrected (ASC) positron emission tomography (PET) images directly from nonattenuation and nonscatter corrected (NASC) images. We traine...
Dual-Domain Denoising Diffusion Probabilistic Model for Metal Artifact Reduction [0.03%]
一种用于金属伪影减少的双域去噪扩散概率模型
Wenjun Xia,Chuang Niu,Grigorios M Karageorgos et al.
Wenjun Xia et al.
In computed tomography (CT), the presence of metal parts in the scanned region results in metal artifacts in the reconstructed images, which can significantly impact diagnosis and treatment planning. Consequently, removing metal artifacts h...
DG-DiT: Dual-Branch Gating Diffusion Transformer for Multi-Tracer and Multi-Scanner Brain PET Image Denoising [0.03%]
基于双分支门控扩散Transformer的多示踪剂和多设备脑PET图像去噪方法
Ziyuan Zhou,Fan Yang,Tzu-An Song et al.
Ziyuan Zhou et al.
Diffusion probabilistic models (DPMs) have been demonstrated to be effective for denoising positron emission tomography (PET) images due to their ability to model complex data distributions. However, limitations in efficiency, accuracy, and...
Semi-Monolithic Detectors for TOF-DOI Brain PET: Optimization of Time, Energy, and Positioning Resolutions With Varying Surface Treatments [0.03%]
具有不同表面处理的时差定位型脑部PET半单片探测器的时间、能量和位置分辨性能优化研究
Fiammetta Pagano,Francis Loignon-Houle,David Sanchez et al.
Fiammetta Pagano et al.
Semi-monolithic detectors, a hybrid configuration combining the benefits of pixelated arrays and monolithic blocks, present a compelling and cost-effective solution for positron emission tomography (PET) scanners with both time-of-flight (T...
A Cross-modality Transformer Network for MR-guided Low-dose Tau PET Image Denoising [0.03%]
一种用于MR引导的低剂量tau-PET图像去噪的跨模式变压器网络
Se-In Jang,Cristina Lois Gomez,Alex Becker et al.
Se-In Jang et al.
Tau PET imaging is an essential imaging modality for the diagnosis and monitoring of Alzheimer's disease and related dementias. To enable tau PET imaging-based longitudinal monitoring of disease progression, further reducing the injected do...
Improving CTR with the FastIC ASIC for TOF-PET by overcoming SiPM noise with baseline correction [0.03%]
基于基线校正克服SiPM噪声的FastIC专用集成电路，用于提高TOF-PET检测器的CTR性能
Afonso Silvério Xavier De Matos Pinto,Nicolaus Kratochwil,Sergio Gómez et al.
Afonso Silvério Xavier De Matos Pinto et al.
Time resolution in time-of-flight positron emission tomography (TOF-PET) has improved significantly over the last decade due to advancements in scintillation materials, photodetectors, and readout electronics, which has increased the signal...
Improved quantification in end-to-end deep learning FastPET reconstruction using multi-view histo-images of attenuation correction factors [0.03%]
基于多视图衰减校正因子的全端深度学习快速pet重建量化改进方法
Maël Millardet,Deepak Bharkhada,Juhi Raj et al.
Maël Millardet et al.
End-to-end deep learning PET reconstruction significantly surpasses traditional iterative methods in speed and shows promise for surpassing them in specific scenarios, such as low-dose imaging. In 2019, a significant advancement was made by...