Výsledky vyhledávání - "Basic Science - Reconstruction algorithms and artificial intelligence"

A low-rank deep image prior reconstruction for free-breathing ungated spiral functional CMR at 0.55 T and 1.5 T Autor Hamilton, Jesse I., Truesdell, William, Galizia, Mauricio, Burris, Nicholas, Agarwal, Prachi, Seiberlich, Nicole

“… Simulations and scans in 13 healthy subjects were performed at 0.55 T and 1.5 T using a golden angle spiral bSSFP sequence with images reconstructed using l 1 -ESPIRiT, low-rank plus sparse (L…”
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MRI acquisition and reconstruction cookbook: recipes for reproducibility, served with real-world flavour Autor Tamir, Jonathan I., Blumenthal, Moritz, Wang, Jiachen, Oved, Tal, Shimron, Efrat, Zaiss, Moritz

“…MRI acquisition and reconstruction research has transformed into a computation-driven field. As methods become more sophisticated, compute-heavy, and…”
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Stop moving: MR motion correction as an opportunity for artificial intelligence Autor Zhou, Zijian, Hu, Peng, Qi, Haikun

“…Subject motion is a long-standing problem of magnetic resonance imaging (MRI), which can seriously deteriorate the image quality…”
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Automatic segmentation of human supraclavicular adipose tissue using high-resolution T2-weighted magnetic resonance imaging Autor Wu, Bingxia, Cheng, Chuanli, Qi, Yulong, Zhou, Hongyu, Peng, Hao, Wan, Qian, Liu, Xin, Zheng, Hairong, Zhang, Huimao, Zou, Chao

“… a 3.0 T MRI scanner. There were typically 144/288 slices for the transverse/coronary scans for each subject, which amounts to a total of 6816 images in 29 volunteers…”
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Importance of neural network complexity for the automatic segmentation of individual thigh muscles in MRI images from patients with neuromuscular diseases Autor Martin, Sandra, André, Rémi, Trabelsi, Amira, Michel, Constance P., Fortanier, Etienne, Attarian, Shahram, Guye, Maxime, Dubois, Marc, Abdeddaim, Redha, Bendahan, David

“… The database contained 1450 thigh images from 59 patients and 14 healthy subjects (age: 47 ± 17 years, sex: 36F, 37M). Ten…”
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A dual-stage framework for segmentation of the brain anatomical regions with high accuracy Autor Sharifian, Peyman, Karimian, Alireza, Arabi, Hossein

“… Materials and methods The approach uses a two-stage 3D segmentation technique on a dataset of adult subjects, including cognitively normal participants and individuals with cognitive decline…”
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Fat–water MRI separation using deep complex convolution network Autor Ganeshkumar, Moorthy, Kandasamy, Devasenathipathy, Sharma, Raju, Mehndiratta, Amit

“… The performance of DCCN and real-valued U-Net is thoroughly investigated in the physics-informed subject-specific ad-hoc reconstruction method for fat…”
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Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing Autor Utzschneider, Matthias, Behl, Nicolas G. R., Lachner, Sebastian, Gast, Lena V., Maier, Andreas, Uder, Michael, Nagel, Armin M.

“… . Fully sampled and three undersampled 23 Na MRI data sets (undersampling factors (USF) = 3, 4.4, 6.7) were evaluated. Ten healthy subjects were examined on a 3 Tesla MRI system…”
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