Robust and efficient linear registration of white-matter fascicles in the space of streamlines

Garyfallidis, Eleftherios; Ocegueda, Omar; Wassermann, Demián; Descoteaux, Maxime

doi:10.1016/j.neuroimage.2015.05.016

Cited by 74 publications

(79 citation statements)

References 81 publications

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“…These studies either follow an atlas based approach [12, 13,14] or align specific tracts 95 directly across subjects [51,52]. Multi-step or multi-level approaches have also been proposed to segment fiber trajectories, for example, by combining both voxel and fiber trajectory groupings [12], fusing labels from multiple handlabeled atlases [13], using a white matter voxel-space atlas and a bundle representation based on maximum density paths [15], or using Gaussian processes 100 [53].…”

Section: Representation and Analysis Of White Matter Fiber Geometrymentioning

confidence: 99%

Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis

et al. 2017

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Section: Representation and Analysis Of White Matter Fiber Geometrymentioning

confidence: 99%

Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis

et al. 2017

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“…As in O'Donnell et al (2012) and in Garyfallidis et al (2015), in this work we are eminently interested in methods for tractogram alignment that directly operates on streamlines, without resorting to volume-based registration. This is due to two main reasons: first, in many practical cases, tractogram alignment is based on registration of images that either do not contain diffusion MRI information at all, i.e., T1 images, or contain just a portion of it, e.g., FA images, which is clearly suboptimal.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, new linear methods have been proposed to directly register whole tractograms, see O'Donnell et al (2012) and Garyfallidis et al (2015), without the intermediate indirect step of registering volumetric images. These methods find an affine transformation that minimizes a given loss function computed only from streamlines.…”

Section: Introductionmentioning

confidence: 99%

“…In O'Donnell et al (2012), the loss function is based on the entropy of a random subset of the coordinates of the streamlines. In Garyfallidis et al (2015), the loss function is based on a streamline-streamline distance of a subset of all streamlines.…”

Section: Introductionmentioning

confidence: 99%

“…By construction it is not possible to find a global affine transformation that reconciles the difference between A and B, because the difference is local and not global. In Figure 1C we show the overlap between (A) and (B) with the best affine transform obtained with the streamline linear registration (SLR, see Garyfallidis et al, 2015) algorithm. It is clearly visible that the overlap between the green (A) and white (B) sets is poor.…”

Section: Introductionmentioning

confidence: 99%

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Alignment of Tractograms As Graph Matching

Olivetti¹,

Sharmin²,

Avesani³

2016

Front. Neurosci.

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The white matter pathways of the brain can be reconstructed as 3D polylines, called streamlines, through the analysis of diffusion magnetic resonance imaging (dMRI) data. The whole set of streamlines is called tractogram and represents the structural connectome of the brain. In multiple applications, like group-analysis, segmentation, or atlasing, tractograms of different subjects need to be aligned. Typically, this is done with registration methods, that transform the tractograms in order to increase their similarity. In contrast with transformation-based registration methods, in this work we propose the concept of tractogram correspondence, whose aim is to find which streamline of one tractogram corresponds to which streamline in another tractogram, i.e., a map from one tractogram to another. As a further contribution, we propose to use the relational information of each streamline, i.e., its distances from the other streamlines in its own tractogram, as the building block to define the optimal correspondence. We provide an operational procedure to find the optimal correspondence through a combinatorial optimization problem and we discuss its similarity to the graph matching problem. In this work, we propose to represent tractograms as graphs and we adopt a recent inexact sub-graph matching algorithm to approximate the solution of the tractogram correspondence problem. On tractograms generated from the Human Connectome Project dataset, we report experimental evidence that tractogram correspondence, implemented as graph matching, provides much better alignment than affine registration and comparable if not better results than non-linear registration of volumes.

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Neural function in DCC mutation carriers with and without mirror movements

Vosberg

Beaulé

Torres‐Berrío

et al. 2019

Annals of Neurology

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Objective Recently identified mutations of the axon guidance molecule receptor gene, DCC, present an opportunity to investigate, in living human brain, mechanisms affecting neural connectivity and the basis of mirror movements, involuntary contralateral responses that mirror voluntary unilateral actions. We hypothesized that haploinsufficient DCC +/− mutation carriers with mirror movements would exhibit decreased DCC mRNA expression, a functional ipsilateral corticospinal tract, greater “mirroring” motor representations, and reduced interhemispheric inhibition. DCC +/− mutation carriers without mirror movements might exhibit some of these features. Methods The participants (n = 52) included 13 DCC +/− mutation carriers with mirror movements, 7 DCC +/− mutation carriers without mirror movements, 13 relatives without the mutation or mirror movements, and 19 unrelated healthy volunteers. The multimodal approach comprised quantitative real time polymerase chain reaction, transcranial magnetic stimulation (TMS), functional magnetic resonance imaging (fMRI) under resting and task conditions, and measures of white matter integrity. Results Mirror movements were associated with reduced DCC mRNA expression, increased ipsilateral TMS‐induced motor evoked potentials, increased fMRI responses in the mirroring M1 and cerebellum, and markedly reduced interhemispheric inhibition. The DCC +/− mutation, irrespective of mirror movements, was associated with reduced functional connectivity and white matter integrity. Interpretation Diverse connectivity abnormalities were identified in mutation carriers with and without mirror movements, but corticospinal effects and decreased peripheral DCC mRNA appeared driven by the mirror movement phenotype. ANN NEUROL 2019;85:433–442.

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Robust and efficient linear registration of white-matter fascicles in the space of streamlines

Cited by 74 publications

References 81 publications

Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis

Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis

Alignment of Tractograms As Graph Matching

Neural function in DCC mutation carriers with and without mirror movements

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