Zobrazeno 1 - 10
of 6 539
pro vyhledávání: '"PET reconstruction"'
Reducing scan time in Positron Emission Tomography (PET) imaging while maintaining high-quality images is crucial for minimizing patient discomfort and radiation exposure. Due to the limited size of datasets and distribution discrepancy across scanne
Externí odkaz:
http://arxiv.org/abs/2407.07517
Autor:
Mauritz, Marco, Wirth, Benedikt
Poisson distributed measurements in inverse problems often stem from Poisson point processes that are observed through discretized or finite-resolution detectors, one of the most prominent examples being positron emission tomography (PET). These inve
Externí odkaz:
http://arxiv.org/abs/2407.17135
Positron emission tomography (PET) is an advanced medical imaging technique that plays a crucial role in non-invasive clinical diagnosis. However, while reducing radiation exposure through low-dose PET scans is beneficial for patient safety, it often
Externí odkaz:
http://arxiv.org/abs/2407.00944
Autor:
Papoutsellis, Evangelos, da Costa-Luis, Casper, Deidda, Daniel, Delplancke, Claire, Duff, Margaret, Fardell, Gemma, Gillman, Ashley, Jørgensen, Jakob S., Kereta, Zeljko, Ovtchinnikov, Evgueni, Pasca, Edoardo, Schramm, Georg, Thielemans, Kris
We introduce a stochastic framework into the open--source Core Imaging Library (CIL) which enables easy development of stochastic algorithms. Five such algorithms from the literature are developed, Stochastic Gradient Descent, Stochastic Average Grad
Externí odkaz:
http://arxiv.org/abs/2406.15159
Autor:
Chen, Tianqi, Hou, Jun, Zhou, Yinchi, Xie, Huidong, Chen, Xiongchao, Liu, Qiong, Guo, Xueqi, Xia, Menghua, Duncan, James S., Liu, Chi, Zhou, Bo
Positron Emission Tomography (PET) is an important clinical imaging tool but inevitably introduces radiation hazards to patients and healthcare providers. Reducing the tracer injection dose and eliminating the CT acquisition for attenuation correctio
Externí odkaz:
http://arxiv.org/abs/2406.08374
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In dynamic positron emission tomography (PET) reconstruction, the importance of leveraging the temporal dependence of the data has been well appreciated. Current deep-learning solutions can be categorized in two groups in the way the temporal dynamic
Externí odkaz:
http://arxiv.org/abs/2403.07364
Akademický článek
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Autor:
Han, Zeyu, Wang, Yuhan, Zhou, Luping, Wang, Peng, Yan, Binyu, Zhou, Jiliu, Wang, Yan, Shen, Dinggang
To obtain high-quality positron emission tomography (PET) scans while reducing radiation exposure to the human body, various approaches have been proposed to reconstruct standard-dose PET (SPET) images from low-dose PET (LPET) images. One widely adop
Externí odkaz:
http://arxiv.org/abs/2308.10157
Autor:
Cui, Jiaqi, Zeng, Pinxian, Zeng, Xinyi, Wang, Peng, Wu, Xi, Zhou, Jiliu, Wang, Yan, Shen, Dinggang
To obtain high-quality positron emission tomography (PET) images while minimizing radiation exposure, various methods have been proposed for reconstructing standard-dose PET (SPET) images from low-dose PET (LPET) sinograms directly. However, current
Externí odkaz:
http://arxiv.org/abs/2308.05365