Self-feeding MUSE: A robust method for high resolution diffusion imaging using interleaved EPI

NeuroImage ◽  
2015 ◽  
Vol 105 ◽  
pp. 552-560 ◽  
Author(s):  
Zhe Zhang ◽  
Feng Huang ◽  
Xiaodong Ma ◽  
Sheng Xie ◽  
Hua Guo
Keyword(s):  
High Resolution ◽  
Diffusion Imaging ◽  
Robust Method

scholarly journals High resolution isotropic diffusion imaging in post-mortem neonates: a feasibility study

2018 ◽  
Vol 91 (1092) ◽  
pp. 20180319 ◽  
Author(s):  
Amy R McDowell ◽  
Susan C Shelmerdine ◽  
David W Carmichael ◽  
Owen J Arthurs
Keyword(s):  
High Resolution ◽  
Feasibility Study ◽  
Diffusion Imaging ◽  
Post Mortem ◽  
Isotropic Diffusion

Corrigendum to “A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging”

NeuroImage ◽  
2016 ◽  
Vol 142 ◽  
pp. 696 ◽  
Author(s):  
Lipeng Ning ◽  
Kawin Setsompop ◽  
Oleg Michailovich ◽  
Nikos Makris ◽  
Martha E. Shenton ◽  
...  
Keyword(s):  
High Resolution ◽  
Compressed Sensing ◽  
Diffusion Imaging ◽  
Super Resolution ◽  
Very High

High-resolution diffusion imaging using phase-corrected segmented echo-planar imaging

2000 ◽  
Vol 18 (6) ◽  
pp. 649-657 ◽  
Author(s):  
Sara Brockstedt ◽  
James R Moore ◽  
Carsten Thomsen ◽  
Stig Holtås ◽  
Freddy Ståhlberg
Keyword(s):  
High Resolution ◽  
Diffusion Imaging ◽  
Echo Planar Imaging ◽  
Planar Imaging ◽  
Echo Planar

scholarly journals A machine learning based approach to the segmentation of micro CT data in archaeological and evolutionary sciences

2019 ◽  
Author(s):  
Thomas O’Mahoney ◽  
Lidija Mcknight ◽  
Tristan Lowe ◽  
Maria Mednikova ◽  
Jacob Dunn
Keyword(s):  
Machine Learning ◽  
High Resolution ◽  
Leading Edge ◽  
Micro Ct ◽  
Robust Method ◽  
Tomographic Data ◽  
Ct Data

AbstractSegmentation of high-resolution tomographic data is often an extremely time-consuming task and until recently, has usually relied upon researchers manually selecting materials of interest slice by slice. With the exponential rise in datasets being acquired, this is clearly not a sustainable workflow. In this paper, we apply the Trainable Weka Segmentation (a freely available plugin for the multiplatform program ImageJ) to typical datasets found in archaeological and evolutionary sciences. We demonstrate that Trainable Weka Segmentation can provide a fast and robust method for segmentation and is as effective as other leading-edge machine learning segmentation techniques.

SU-GG-J-134: MRI-Guided Adaptive Brachytherapy of Cervical Cancer: Initial Experience with High Resolution Diffusion Imaging

2008 ◽  
Vol 35 (6Part7) ◽  
pp. 2710-2710
Author(s):  
JM Zhu ◽  
H Li ◽  
W Lu ◽  
S Mutic ◽  
DA Low ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
High Resolution ◽  
Diffusion Imaging ◽  
Initial Experience ◽  
Mri Guided

scholarly journals High resolution whole brain diffusion imaging at 7 T for the Human Connectome Project

NeuroImage ◽  
2015 ◽  
Vol 122 ◽  
pp. 318-331 ◽  
Author(s):  
A.T. Vu ◽  
E. Auerbach ◽  
C. Lenglet ◽  
S. Moeller ◽  
S.N. Sotiropoulos ◽  
...  
Keyword(s):  
High Resolution ◽  
Diffusion Imaging ◽  
Whole Brain ◽  
Human Connectome Project
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