Fast and Reproducible Fiber Bundle Selection in DTI Visualization

Blaas, Jorik; Botha, Charl P.; Peters, Bart D.; Vos, Frans M.; Post, Frits H.

doi:10.1109/visual.2005.1532778

Cited by 32 publications

(30 citation statements)

References 11 publications

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“…Reproducible results in four subjects were achieved. Finally, a single streamline was generated in the body of the corpus callosum, passing through the crossing with the corticospinal tract [3]. This streamline incorrectly follows the indermediate orientation of the two fiber bundles.…”

Section: Resultsmentioning

confidence: 99%

“…The Fractional Anisotropy (FA) has been introduced as a distance measure to an isotropic tensor [2], which is of use in analyzing changes in white matter integrity. The first eigenvector of the diffusion tensor represents the orientation of fibrous white matter structures, which can be tracked throughout the image volume [3]. Such tractography is of practical interest for pre-operative planning.…”

Section: Introductionmentioning

confidence: 99%

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Generating Fiber Crossing Phantoms Out of Experimental DWIs

Caan

Vries

Khedoe

et al. 2007

Lecture Notes in Computer Science

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Abstract. In Diffusion Tensor Imaging (DTI), differently oriented fiber bundles inside one voxel are incorrectly modeled by a single tensor. High Angular Resolution Diffusion Imaging (HARDI) aims at using more complex models, such as a two-tensor model, for estimating two fiber bundles.We propose a new method for creating experimental phantom data of fiber crossings, by mixing the DWI-signals from high FA-regions with different orientation. The properties of these experimental phantoms approach the conditions of real data. These phantoms can thus serve as a 'ground truth' in validating crossing reconstruction algorithms. The angular resolution of a dual tensor model is determined using series of crossings, generated under different angles. An angular resolution of 0.6π was found in data scanned with a diffusion weighting parameter b=1000 s/mm 2 . This resolution did not change significantly in experiments with b=3000 and 5000 s/mm 2 , keeping the scanning time constant.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Generating Fiber Crossing Phantoms Out of Experimental DWIs

Caan

Vries

Khedoe

et al. 2007

Lecture Notes in Computer Science

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show abstract

“…Some methods require the user to guide the clustering, typically by specifying one or several regions of interest (ROI) [95,103] in order to identify the fibers that intersect them. In the case of several ROIs, boolean logic can be applied to determine the set of fibers that connect known regions of the brain anatomy [104][105][106]. Clustering can also be achieved in a non-supervised way.…”

Section: Fiber Tractographymentioning

confidence: 99%

Biomedical Visualization

Johnson

Tricoche

2009

Advances in Biomedical Engineering

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“…Desired fiber bundles can often be selected by using Boolean expressions involving one or more user-defined ROIs (regions of interest). 13,14 New input techniques attempt to circumvent the problem that scientists would like to position and resize ROIs in 3D with commodity input devices such as mice and pens that only provide two degrees of freedom. 15,16 Such methods augment the selection process with a set of marking operations that are both natural and expressive.…”

Section: Introductionmentioning

confidence: 99%

Real-time fiber selection using the Wii remote

Klein¹,

Scholl

Köhn

et al. 2010

Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling

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In the last few years, fiber tracking tools have become popular in clinical contexts, e.g., for pre-and intraoperative neurosurgical planning. The efficient, intuitive, and reproducible selection of fiber bundles still constitutes one of the main issues. In this paper, we present a framework for a real-time selection of axonal fiber bundles using a Wii remote control, a wireless controller for Nintendo's gaming console. It enables the user to select fiber bundles without any other input devices. To achieve a smooth interaction, we propose a novel spacepartitioning data structure for efficient 3D range queries in a data set consisting of precomputed fibers. The data structure which is adapted to the special geometry of fiber tracts allows for queries that are many times faster compared with previous state-of-the-art approaches. In order to extract reliably fibers for further processing, e.g., for quantification purposes or comparisons with preoperatively tracked fibers, we developed an expectationmaximization clustering algorithm that can refine the range queries. Our initial experiments have shown that white matter fiber bundles can be reliably selected within a few seconds by the Wii, which has been placed in a sterile plastic bag to simulate usage under surgical conditions.

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Fast and Reproducible Fiber Bundle Selection in DTI Visualization

Cited by 32 publications

References 11 publications

Generating Fiber Crossing Phantoms Out of Experimental DWIs

Generating Fiber Crossing Phantoms Out of Experimental DWIs

Biomedical Visualization

Real-time fiber selection using the Wii remote

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