scholarly journals Constrained distance transforms for spatial atlas registration

2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Bill Hill ◽  
Richard A Baldock
NeuroImage ◽  
2008 ◽  
Vol 43 (4) ◽  
pp. 708-720 ◽  
Author(s):  
Fedde van der Lijn ◽  
Tom den Heijer ◽  
Monique M.B. Breteler ◽  
Wiro J. Niessen

2002 ◽  
Vol 23 (12) ◽  
pp. 1407-1418 ◽  
Author(s):  
Stina Svensson ◽  
Gunilla Borgefors
Keyword(s):  

2014 ◽  
Author(s):  
Ezak Ahmad ◽  
Moi Hoon Yap ◽  
Hans Degens ◽  
Jamie S. McPhee

2017 ◽  
Vol 39 (2) ◽  
pp. 313-323 ◽  
Author(s):  
Stefan Koch ◽  
Susanne Mueller ◽  
Marco Foddis ◽  
Thomas Bienert ◽  
Dominik von Elverfeldt ◽  
...  

Lesion volume measurements with magnetic resonance imaging are widely used to assess outcome in rodent models of stroke. In this study, we improved a mathematical framework to correct lesion size for edema which is based on manual delineation of the lesion and hemispheres. Furthermore, a novel MATLAB toolbox to register mouse brain MR images to the Allen brain atlas is presented. Its capability to calculate edema-corrected lesion size was compared to the manual approach. Automated image registration performed equally well in in a mouse middle cerebral artery occlusion model (Pearson r = 0.976, p = 2.265e-11). Information encapsulated in the registration was used to generate maps of edema induced tissue volume changes. These showed discrepancies to simplified tissue models underlying the manual approach. The presented techniques provide biologically more meaningful, voxel-wise biomarkers of vasogenic edema after stroke.


2011 ◽  
Author(s):  
Min Chen ◽  
Aaron Carass ◽  
John Bogovic ◽  
Pierre-Louis Bazin ◽  
Jerry L. Prince

1988 ◽  
pp. 205-211 ◽  
Author(s):  
Carlo Arcelli ◽  
Gabriella Sanniti di Baja

2018 ◽  
Vol 9 (8) ◽  
pp. 3544
Author(s):  
Bin Zhang ◽  
Wanzhou Yin ◽  
Hao Liu ◽  
Xu Cao ◽  
Hongkai Wang

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