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Titlebook: Computational Methods for Molecular Imaging; Fei Gao,Kuangyu Shi,Shuo Li Book 2015 Springer International Publishing Switzerland 2015 Clin

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樓主: Eschew
41#
發(fā)表于 2025-3-28 15:01:36 | 只看該作者
Gradient Projection for Regularized Cryo-Electron Tomographic Reconstructionte. The technique consists of acquiring many two-dimensional (2D) projections of the structure under scrutiny at various tilt angles under cryogenic conditions. The 3D structure is recovered through a number of steps including projection alignment and reconstruction. However, the resolution currentl
42#
發(fā)表于 2025-3-28 20:57:18 | 只看該作者
43#
發(fā)表于 2025-3-29 01:06:48 | 只看該作者
44#
發(fā)表于 2025-3-29 05:45:19 | 只看該作者
45#
發(fā)表于 2025-3-29 08:57:47 | 只看該作者
Time-Activity Curve Based Sinogram Decomposition for Streak Artifacts Reduction in Dynamic PET Reconsignals such as bladder than other areas. This is achieved by a clustering of temporal development into comparable signal levels and decomposition in projection space accordingly. The results show a significant improvement in quality of reconstructed images as well as an improvement in quantificatio
46#
發(fā)表于 2025-3-29 13:55:36 | 只看該作者
4-D PET-MR with Volumetric Navigators and Compressed Sensingta. However, the acquisition of high-resolution MR and PET images requires long scanning times, therefore movement of the subject during the acquisition deteriorates both the PET and the MR images. In this work we have developed an approach for tightly integrated PET-MR imaging, making use of volume
47#
發(fā)表于 2025-3-29 17:34:49 | 只看該作者
Robust Feature Selection to Predict Lung Tumor Recurrence a predictive feature subset from a series of spatiotemporal PET image characteristics, including SUV-based and texture features, in order to predict lung tumor recurrence one year after treatment. To overcome the small sample size, class imbalance problem, we propose a hierarchical forward selectio
48#
發(fā)表于 2025-3-29 21:54:25 | 只看該作者
49#
發(fā)表于 2025-3-30 01:21:26 | 只看該作者
50#
發(fā)表于 2025-3-30 04:44:55 | 只看該作者
Generation of MR-Based Attenuation Correction Map of PET Images in the Brain Employing Joint Segmentdose, and truly simultaneous imaging capabilities. However, the lack of an accurate method for generation of MR-based attenuation map (.-map) at 511 keV is hampering further development and wider acceptance of this technology. Here, we present a new method for the MR-based attenuation correction map
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