Zobrazeno 1 - 10
of 407
pro vyhledávání: '"Spincemaille Pascal"'
Autor:
Luu, Ha, Sisman, Mert, Kovanlikaya, Ilhami, Vu, Tam, Spincemaille, Pascal, Wang, Yi, Bagnato, Francesca, Gauthier, Susan, Nguyen, Thanh
Paramagnetic rim lesions (PRLs) are imaging biomarker of the innate immune response in MS lesions. QSM-RimNet, a state-of-the-art tool for PRLs detection on QSM, can identify PRLs but requires precise QSM lesion mask and does not provide rim segmenta
Externí odkaz:
http://arxiv.org/abs/2412.10492
Autor:
Li, Chao, Li, Jiahao, Zhang, Jinwei, Solomon, Eddy, Dimov, Alexey V., Spincemaille, Pascal, Nguyen, Thanh D., Prince, Martin R., Wang, Yi
Purpose: To develop an MRI technique for free-breathing 3D whole-liver quantification of water T1, water T2, proton density fat fraction (PDFF), R2*. Methods: An Eight-echo spoiled gradient echo pulse sequence with spiral readout was developed by int
Externí odkaz:
http://arxiv.org/abs/2410.15175
Autor:
Li, Chao, Zhang, Jinwei, Dimov, Alexey V., de González, Anne K. Koehne, Prince, Martin R., Li, Jiahao, Romano, Dominick, Spincemaille, Pascal, Nguyen, Thanh D., Brittenham, Gary M., Wang, Yi
In chronic liver disease, liver fibrosis develops as excessive deposition of extracellular matrix macromolecules, predominantly collagens, progressively form fibrous scars that disrupt the hepatic architecture, and fibrosis, iron, and fat are interre
Externí odkaz:
http://arxiv.org/abs/2410.03127
Autor:
Li, Chao, Zhang, Jinwei, Zhang, Hang, Li, Jiahao, Spincemaille, Pascal, Nguyen, Thanh D., Wang, Yi
Purpose: To develop a pipeline for motion artifact correction in mGRE and quantitative susceptibility mapping (QSM). Methods: Deep learning is integrated with autofocus to improve motion artifact suppression, which is applied QSM of patients with Par
Externí odkaz:
http://arxiv.org/abs/2405.16664
Purpose: To develop biophysics-based method for estimating perfusion Q from arterial spin labeling (ASL) images using deep learning. Methods: A 3D U-Net (QTMnet) was trained to estimate perfusion from 4D tracer propagation images. The network was tra
Externí odkaz:
http://arxiv.org/abs/2311.10640
Autor:
Bilgic, Berkin, Costagli, Mauro, Chan, Kwok-Shing, Duyn, Jeff, Langkammer, Christian, Lee, Jongho, Li, Xu, Liu, Chunlei, Marques, José P., Milovic, Carlos, Robinson, Simon Daniel, Schweser, Ferdinand, Shmueli, Karin, Spincemaille, Pascal, Straub, Sina, van Zijl, Peter, Wang, Yi, Group, ISMRM Electro-Magnetic Tissue Properties Study
This article provides recommendations for implementing quantitative susceptibility mapping (QSM) for clinical brain research. It is a consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group. While QSM technical development continues to
Externí odkaz:
http://arxiv.org/abs/2307.02306
Autor:
Zhang, Jinwei, Dimov, Alexey, Li, Chao, Zhang, Hang, Nguyen, Thanh D., Spincemaille, Pascal, Wang, Yi
Purpose: To improve the generalization ability of convolutional neural network (CNN) based prediction of quantitative susceptibility mapping (QSM) from high-pass filtered phase (HPFP) image. Methods: The proposed network addresses two common generali
Externí odkaz:
http://arxiv.org/abs/2305.03844
Autor:
Roberts, Alexandra G., Romano, Dominick J., Sisman, Mert, Dimov, Alexey V., Spincemaille, Pascal, Nguyen, Thanh D., Kovanlikaya, Ilhami, Gauthier, Susan A., Wang, Yi
To develop a tissue field filtering algorithm, called maximum Spherical Mean Value (mSMV), for reducing shadow artifacts in quantitative susceptibility mapping (QSM) of the brain without requiring brain tissue erosion. Residual background field is a
Externí odkaz:
http://arxiv.org/abs/2304.11476
Autor:
Zhang, Jinwei, Nguyen, Thanh D., Solomon, Eddy, Li, Chao, Zhang, Qihao, Li, Jiahao, Zhang, Hang, Spincemaille, Pascal, Wang, Yi
Purpose: To develop a method for rapid sub-millimeter T1, T2, T2* and QSM mapping in a single scan using multi-contrast Learned Acquisition and Reconstruction Optimization (mcLARO). Methods: A pulse sequence was developed by interleaving inversion re
Externí odkaz:
http://arxiv.org/abs/2304.03458
Autor:
Zhang, Jinwei, Spincemaille, Pascal, Zhang, Hang, Nguyen, Thanh D., Li, Chao, Li, Jiahao, Kovanlikaya, Ilhami, Sabuncu, Mert R., Wang, Yi
Quantitative susceptibility mapping (QSM) involves acquisition and reconstruction of a series of images at multi-echo time points to estimate tissue field, which prolongs scan time and requires specific reconstruction technique. In this paper, we pre
Externí odkaz:
http://arxiv.org/abs/2211.00725