Sentence examples for a common reference space from inspiring English sources

Each DTI dataset was mapped to a common reference space to facilitate future standardized analysis.

T1- and T2*-weighted data were acquired with each specimen to aid nonlinear registration of the data to a common reference space (called "Waxholm Space").

The pre-processing did not involve any spatial normalization of subjects in a common reference space (e.g., Talairach transformations).

Co-registration, realignment and normalization were conducted to match each scan onto a common reference space, hence minimizing individual differences in anatomy and allowing subsequent voxel-wise analyses.

The results we are about to present depend critically on an accurate method for bringing images of different specimen brains into a common reference space.

To take these data into a common reference space, three registrations were calculated within the Yale BioImage Suite software package (http://www.bioimagesuite.org/, Papademetris et al. 2006) using the intensity-only component of the method reported in Papademetris et al. (2004).

First, to integrate, pool and compare brain networks across individuals and their cognitive states under task performances, we designed a novel group-wise dictionary learning scheme to derive connectome-scale consistent brain network templates that can be used to define the common reference space of brain network interactions.

All three registrations were applied sequentially to the individual normalized beta-maps to bring all data into the common reference space.

In the case of multiple IMS experiments and multiple mappings to the same atlas, one can compare the anatomical interpretations of multiple experiments to each other by using a common reference (atlas) space.

For instance, a common reference frame for the representation of time, space and number has recently been proposed (Bueti & Walsh, 2009; Dehaene & Brannon, 2011) and evidence in favor of the existence of interferences across magnitudes is on the rise (Lambrechts et al., 2013).

In the second step, we aligned the average trajectories of all proteins in space and time to a common reference.