Deformable registration of diffusion tensor MR images with explicit orientation optimization

By Hui Zhang, Paul Yushkevich, Daniel C. Alexander, James C. Gee. Medical Image Anal., 2006

505 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/2d848bda67f51009a5bf6e468f3a16a1b2b7f0da

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Stephen M. Smith
2. Matthew F. Glasser
3. Alan C. Evans
4. Timothy Edward John Behrens
5. Jesper L. R. Andersson
6. Kamil Ugurbil
7. Timothy S. Coalson
8. D. V. Van Essen

In Pediatrics, Perinatology and Child Health

1. Fang-Cheng Yeh
2. Stephen M. Smith
3. Timothy Edward John Behrens
4. Mark Jenkinson
5. Susumu Mori
6. Peter C. M. van Zijl
7. Alan C. Evans
8. W. I. Tseng

In Radiology, Nuclear Medicine and Imaging

1. Matthew F. Glasser
2. Stephen M. Smith
3. Jesper L. R. Andersson
4. Essa Yacoub
5. Kamil Ugurbil
6. Stamatios N. Sotiropoulos
7. Mark Jenkinson
8. Timothy Edward John Behrens

Citations in the corpus

• Characterization of Cerebral White Matter Properties Using Quantitative MRI Stains (2011, background): “, 2010) and full diffusion tensor matching and reorientation (Zhang et al., 2006) (see Fig.”
• The Human Connectome Project’s Neuroimaging Approach (2016, methodology): “The HCP currently uses FSL’s FNIRT for nonlinear registration of T1w images to the MNI standard volumetric space, but registrations that also incorporate dMRI fiber orientations in the white matter may improve alignment of subcortical white matter fiber tracts ( Supplementary Note 11 ) 68,69 .”
• Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template (2008, methodology): “H) could be used if, in the future, tensor-based brain transformation methods become available (Cao et al., 2005; Muller et al., 2007; Park et al., 2003; Zhang et al., 2006, 2005).”
• NTU-90: A high angular resolution brain atlas constructed by q-space diffeomorphic reconstruction (2011, methodology): “…studies have been conducted using affine transform (Jones et al., 2002; Mori et al., 2008; Muller et al., 2007) or nonlinear transformation (Ardekani and Sinha, 2006;Goodlett et al., 2006; Park et al., 2003; Penget al., 2009; VanHecke et al., 2008; Xu et al., 2003; Zhang et al., 2006, 2011).”
• Deformable Medical Image Registration: A Survey (2013, background): “[158] tackled di usion tensor registration by taking into consideration tensor reorientation.”