Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Merry Mani"'
Publikováno v:
NeuroImage, Vol 292, Iss , Pp 120601- (2024)
Purpose: Intravoxel incoherent motion (IVIM) is a quantitative magnetic resonance imaging (MRI) method used to quantify perfusion properties of tissue non-invasively without contrast. However, clinical applications are limited by unreliable parameter
Externí odkaz:
https://doaj.org/article/e1048795659d47e8b2baa07e3b5ff57c
Autor:
Santiago Aja-Fernández, Carmen Martín-Martín, Álvaro Planchuelo-Gómez, Abrar Faiyaz, Md Nasir Uddin, Giovanni Schifitto, Abhishek Tiwari, Saurabh J. Shigwan, Rajeev Kumar Singh, Tianshu Zheng, Zuozhen Cao, Dan Wu, Stefano B. Blumberg, Snigdha Sen, Tobias Goodwin-Allcock, Paddy J. Slator, Mehmet Yigit Avci, Zihan Li, Berkin Bilgic, Qiyuan Tian, Xinyi Wang, Zihao Tang, Mariano Cabezas, Amelie Rauland, Dorit Merhof, Renata Manzano Maria, Vinícius Paraníba Campos, Tales Santini, Marcelo Andrade da Costa Vieira, SeyyedKazem HashemizadehKolowri, Edward DiBella, Chenxu Peng, Zhimin Shen, Zan Chen, Irfan Ullah, Merry Mani, Hesam Abdolmotalleby, Samuel Eckstrom, Steven H. Baete, Patryk Filipiak, Tanxin Dong, Qiuyun Fan, Rodrigo de Luis-García, Antonio Tristán-Vega, Tomasz Pieciak
Publikováno v:
NeuroImage: Clinical, Vol 39, Iss , Pp 103483- (2023)
The objective of this study is to evaluate the efficacy of deep learning (DL) techniques in improving the quality of diffusion MRI (dMRI) data in clinical applications. The study aims to determine whether the use of artificial intelligence (AI) metho
Externí odkaz:
https://doaj.org/article/59576c43e92943cc8ee0c017cb32d811
Autor:
Joseph J. Shaffer, Merry Mani, Samantha L. Schmitz, Jia Xu, Nana Owusu, Dee Wu, Vincent A. Magnotta, John A. Wemmie
Publikováno v:
Frontiers in Psychiatry, Vol 11 (2020)
Proton exchange provides a powerful contrast mechanism for magnetic resonance imaging (MRI). MRI techniques sensitive to proton exchange provide new opportunities to map, with high spatial and temporal resolution, compounds important for brain metabo
Externí odkaz:
https://doaj.org/article/c36ecc63679f4b18a15598fbff4a4ab8
Publikováno v:
Magn Reson Med
PURPOSE: To propose a new method for the recovery of combined in-plane- and multi-band (MB)-accelerated diffusion MRI data. METHODS: Combining MB-acceleration with in-plane acceleration is crucial to improve the time-efficiency of high (angular and s
Publikováno v:
Magnetic resonance in medicineREFERENCES. 89(1)
To develop a joint reconstruction method for multi-band multi-shot diffusion MRI.Multi-band multi-shot EPI acquisition is an effective approach for high-resolution diffusion MRI, but requires specific algorithms to correct the inter-shot phase variat
Publikováno v:
Advances in Magnetic Resonance Technology and Applications ISBN: 9780128227268
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89d6d81bae12b86a8b878f16cc5b7af8
https://doi.org/10.1016/b978-0-12-822726-8.00020-8
https://doi.org/10.1016/b978-0-12-822726-8.00020-8
Publikováno v:
IEEE Trans Med Imaging
We introduce a model-based deep learning architecture termed MoDL-MUSSELS for the correction of phase errors in multishot diffusion-weighted echo-planar MR images. The proposed algorithm is a generalization of the existing MUSSELS algorithm with simi
Autor:
Lyndsey E. Dubose, Timothy B. Weng, Kaitlyn Dubishar, Merry Mani, Michelle W. Voss, Gary L. Pierce
Publikováno v:
Artery Research, Vol 8, Iss 4 (2014)
Externí odkaz:
https://doaj.org/article/6cf4e07386b24a498b45bf8ea44f0c7f
Autor:
Brian K. Rutt, Adam B. Kerr, Baolian Yang, Vincent A. Magnotta, Mathews Jacob, Graeme C. McKinnon, Merry Mani
Publikováno v:
Magn Reson Med
PURPOSE: To introduce a novel reconstruction method for simultaneous multi-slice (SMS) accelerated multi-shot diffusion weighted imaging (ms-DWI). METHODS: SMS acceleration using blipped CAIPI schemes have been proposed to speed up the acquisition of
Publikováno v:
IEEE Transactions on Medical Imaging. 38:394-405
We introduce a model-based image reconstruction framework with a convolution neural network (CNN) based regularization prior. The proposed formulation provides a systematic approach for deriving deep architectures for inverse problems with the arbitr