Intermediate Deformable Image Registration (IDIR)
I. Aganj and B. Fischl, “Intermediate deformable image registration via windowed cross-correlation,” in Proceedings of the IEEE International Symposium on Biomedical Imaging, pp. 1–5, Cartagena de Indias, Colombia, 2023.
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The author’s
Matlab implementation; see the
EXAMPLE_IDIR script. |
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Expected Label Value (ELV) Computation for Supervised Atlas-Based Image Segmentation
I. Aganj and B. Fischl, “Multi-atlas image soft-segmentation via computation of the expected label value,”
IEEE Transactions on Medical Imaging, vol. 40, no. 6, pp. 1702–1710, 2021.
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The author’s
Matlab implementation; see the
EXAMPLE script. |
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A. Frau-Pascual, M. Fogarty, B. Fischl, A. Yendiki, and I. Aganj, “Quantification of structural brain connectivity via a conductance model,” NeuroImage, vol. 189, pp. 485–496, 2019. |
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Aina Frau-Pascual’s Matlab implementation; see: Examples/Connectivity/run_conductance_model.m |
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I.
Aganj,
“Automatic verification of the gradient table in diffusion-weighted MRI based on fiber continuity,” Scientific Reports,
vol. 8, Article no. 16541, 2018. |
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The author’s
Matlab implementation (including
binaries); see
the
EXAMPLE
routine. |
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Image Segmentation Based on Local Center of Mass
I. Aganj, M. G. Harisinghani, R. Weissleder, and B. Fischl, “Unsupervised medical image segmentation based on the local center of mass,”
Scientific Reports, vol. 8, Article no. 13012, 2018.
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The author’s
Matlab implementation; see the
EXAMPLE script. |
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Segmentation-Based Multimodal Image Registration
I. Aganj and B. Fischl, “Multimodal image
registration through simultaneous segmentation,”
IEEE Signal Processing Letters,
vol. 24, no. 11, pp. 1661–1665, 2017.
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FreeSurfer 7.3’s mri_robust_register command (with --cost SB), implemented in C++ by Reuter et al (NeuroImage, 2010). |
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Mid-Space-Independent (MSI) Deformable Image Registration
I. Aganj,
J. E. Iglesias, M. Reuter, M. R. Sabuncu, and B. Fischl, “Mid-space-independent
deformable image registration,”
NeuroImage,
vol. 152, pp. 158–170, 2017.
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The author’s
Matlab implementation (including binaries); see the
EXAMPLE_MSI script. |
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I.
Aganj,
C. Lenglet, N. Jahanshad, E. Yacoub, N. Harel, P. Thompson,
and G. Sapiro, “A
Hough transform global probabilistic approach to
multiple-subject diffusion MRI tractography,” Medical
Image Analysis, vol. 15, no. 4, pp. 414–425, 2011. |
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The author’s
Matlab implementation (including
binaries); see
the
EXAMPLE
routine. |
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Orientation Distribution Function in
Constant Solid Angle (CSA-ODF)
I. Aganj,
C. Lenglet, G. Sapiro, E. Yacoub, K. Ugurbil, and N. Harel,
“Reconstruction
of the orientation distribution function in single and
multiple shell q-ball imaging within constant solid angle,” Magnetic Resonance in Medicine, vol. 64, no. 2, pp. 554–566,
2010. |
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The author’s
Matlab implementation (including binaries); see
the
EXAMPLE
routine. |
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FSL’s
qboot
command, implemented by
Sotiropoulos et al (OHBM, 2011). |
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Diffusion Imaging In
Python
(DIPY)’s
CsaOdfModel
command, implemented by
Garyfallidis et al (Front Neuroinform, 2014). |
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MITK Diffusion Imaging’s
Q-Ball
Reconstruction
module, implemented by
Fritzsche
et al (ISMRM, 2011). |
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Ginkgo’s SolidAngleAnalyticalQBallOdf C++ class, developed at NeuroSpin, CEA. | |
ANIMA | Anima’s animaODFEstimator C function, developed at VisAGeS, Inria. |
pHARDI | Parallel High Angular Resolution Diffusion Imaging (pHARDI)’s qbi-csa reconstruction method, implemented by Garcia-Blas et al (ICA3PP, 2016). |
R-Package dti’s dwiQball command, implemented by Polzehl and Tabelow (J Stat Softw, 2011).
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HARDI Tools’
test_DOT_R2_vs_CSA_QBI_example
Matlab routine, implemented by Canales-Rodríguez et al. |
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I. Aganj,
C. Lenglet, and G. Sapiro, “ODF
maxima extraction in spherical harmonic representation via
analytical search space reduction,”
in Proceedings of the Thirteenth International Conference
on Medical Image Computing and Computer Assisted
Intervention, pp. 84–91, Beijing, China, 2010. |
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MITK Diffusion Imaging’s
Peak
Extraction
module, implemented by
Fritzsche
et al (ISMRM, 2011). |
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Tissue Thickness Measurement via Minimum Line Integrals
I. Aganj,
G. Sapiro, N. Parikshak, S. K. Madsen, and P. Thompson, “Measurement
of cortical thickness from MRI by minimum line integrals on
soft-classified tissue,”
Human Brain Mapping, vol. 30, no. 10, pp. 3188–3199,
2009. |
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The author’s Matlab / C implementation; see the EXAMPLE routine. |
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Atroscan’s
cortical thickness analysis
solution, implemented by
Park et al (Encephalitis, 2023). |
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I. Aganj,
C. Lenglet, E. Yacoub, G. Sapiro, and N. Harel, “A
3D wavelet fusion approach for the reconstruction of
isotropic-resolution MR images from orthogonal
anisotropic-resolution scans,” Magnetic Resonance in Medicine, vol. 67, no. 4,
pp. 1167–1172, 2012. |
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The author’s
Matlab implementation; see the
fuseVolW_multi command. |