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检索条件"丛书名=Mathematics and Visualization"

共 253 条记录，以下是61-70 订阅

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Word-Sized Eye-Tracking visualizations 1st

引用

1st Workshop on Eye Tracking and visualization (ETVIS)

作者： Beck, Fabian Blascheck, Tanja Ertl, Thomas Weiskopf, Daniel Univ Stuttgart Stuttgart Germany

ISBN: (纸本)9783319470245;9783319470238

In user studies, eye tracking is often used in combination with other recordings, such as think-aloud protocols. However, it is difficult to analyze the eye-tracking data and transcribed recordings together because of missing data alignment and integration. We suggest the use of word-sized eye-tracking visualizations to augment the transcript with important events that occurred concurrently to the transcribed activities. We explore the design space of such graphics by discussing how existing eye-tracking visualizations can be scaled down to word size. The suggested visualizations can optionally be combined with other event-based data such as interaction logs. We demonstrate our concept by a prototypical analysis tool.

关键词： visualization

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Accurate Diagnosis of SWEDD vs. Parkinson Using Microstructural Changes of Cingulum Bundle: Track-Specific Analysis 1

引用

MICCAI Workshop on Computational Diffusion MRI

作者： Rahmani, Farzaneh Jooyandeh, Somayeh Mohammadi Shadmehr, Mohammad Hadi Shojaie, Ahmad Noorizadeh, Farsad Aarabi, Mohammad Hadi Univ Tehran Med Sci Students Sci Res Ctr Tehran Iran USERN Neuroimaging Network NIN Tehran Iran Univ Regensburg Dept Psychiat & Psychotherapy Regensburg Germany Basir Eye Hlth Res Ctr Tehran Iran

ISBN: (数字)9783319541303

ISBN: (纸本)9783319541303;9783319541297

SWEDD (scans without evidence of dopaminergic deficit) patients often are misdiagnosed as having Parkinson disease (PD) but later prove to have distinct features from PD. A commonly found symptom of these patients being focal and unilateral dystonia. SWEDD patients do not respond to dopaminergic therapy and may in turn benefit from management of adult onset dystonia, therefore early differential diagnosis from PD is important in order to avoid over diagnosis of PD and mismanagement of these patients. Along with a different pattern of tremor from PD, SWEDD patients do not show the non-motor symptoms associated with different stages of PD, do not exhibit cognitive deficit and depict a and task specificity of the motor symptoms without any deterioration along time. We hypothesized that the cingulum which is both functional in cognitive control and task set performance and is structurally affected in early stages of PD and is implicated in other non-motor symptoms of PD might be differentially affected in PD and SWEDD group. The diffusion imaging data from 39 PD, 28 SWEDD and 21 normal subjects were reconstructed in the MNI space using q-space diffeomorphic reconstruction (QSDR) to assess association of quantitative anisotropy (QA) and generalized fractional anisotropy (GFA) of left and right cingulum with the PD and SWEDD groups in the baseline level (diagnosis of PD or SWEDD) and age-sex matched controls. We found significant difference between GFA and QA of the left cingulum and QA of the right cingulum in SWEDD and control group versus the PD group. These results suggest a diagnostic value for the cingulum in early PD/SWEDD and also reveal that the diffusion metric parameters of cingulum that are not necessarily sensitive to axonal loss (GFA) might be a better indicator of microstructural changes in early PD/SWEDD.

关键词： Anisotropy

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Unsupervised Clustering of EOG as a Viable Substitute for Optical Eye Tracking 1st

引用

1st Workshop on Eye Tracking and visualization (ETVIS)

作者： Flad, Nina Fomina, Tatiana Buelthoff, Heinrich H. Chuang, Lewis L. Max Planck Inst Biol Cybernet Spemannstr 41 D-72076 Tubingen Germany IMPRS Cognit & Syst Neurosci Oesterbergstr 3 D-72074 Tubingen Germany Max Planck Inst Intelligent Syst Spemannstr 38 D-72076 Tubingen Germany

ISBN: (纸本)9783319470245;9783319470238

Eye-movements are typically measured with video cameras and image recognition algorithms. Unfortunately, these systems are susceptible to changes in illumination during measurements. Electrooculography (EOG) is another approach for measuring eye-movements that does not suffer from the same weakness. Here, we introduce and compare two methods that allow us to extract the dwells of our participants from EOG signals under presentation conditions that are too difficult for optical eye tracking. The first method is unsupervised and utilizes density-based clustering. The second method combines the optical eye-tracker's methods to determine fixations and saccades with unsupervised clustering. Our results show that EOG can serve as a sufficiently precise and robust substitute for optical eye tracking, especially in studies with changing lighting conditions. Moreover, EOG can be recorded alongside electroencephalography (EEG) without additional effort.

关键词： Eye movements

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3D Saliency from Eye Tracking with Tomography 1st

引用

1st Workshop on Eye Tracking and visualization (ETVIS)

作者： Ma, Bo Jain, Eakta Entezari, Alireza Univ Florida Gainesville FL 32611 USA

ISBN: (纸本)9783319470245;9783319470238

This paper presents a method to build a saliency map in a volumetric dataset using 3D eye tracking. Our approach acquires the saliency information from multiple views of a 3D dataset with an eye tracker and constructs the 3D saliency volume from the gathered 2D saliency information using a tomographic reconstruction algorithm. Our experiments, on a number of datasets, show the effectiveness of our approach in identifying salient 3D features that attract user's attention. The obtained 3D saliency volume provides importance information and can be used in various applications such as illustrative visualization.

关键词： Eye tracking

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Visualizing Dynamic Ambient/Focal Attention with Coefficient K 1st

引用

1st Workshop on Eye Tracking and visualization (ETVIS)

作者： Duchowski, A. T. Krejtz, K. Clemson Univ Clemson SC 29634 USA SWPS Univ Social Sci & Humanities Dept Psychol Warsaw Poland

ISBN: (纸本)9783319470245;9783319470238

Using coefficient K, defined on a parametric scale, derived from processing a traditionally eye-tracked time course of eye movements, we propose a straightforward method of visualizing ambient/focal fixations in both scanpath and heatmap visualizations. The K coefficient indicates the difference of fixation duration and following saccade amplitude expressed in standard deviation units, facilitating parametric statistical testing. Positive and negative ordinates of K indicate focal or ambient fixations, respectively, and are colored by luminance variation depicting relative intensity of focal fixation.

关键词： Eye movements

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Using Multiple Diffusion MRI Measures to Predict Alzheimer's Disease with a TV-L1 Prior 1

引用

MICCAI Workshop on Computational Diffusion MRI

作者： Villalon-Reina, Julio E. Nir, Talia M. Gutman, Boris A. Jahanshad, Neda Jack, Clifford R., Jr. Weiner, Michael W. Pasternak, Ofer Thompson, Paul M. Univ Southern Calif Imaging Genet Ctr Marina Del Rey CA 90007 USA Mayo Clin & Mayo Fdn Dept Radiol Rochester MN USA UCSF Sch Med Dept Radiol San Francisco CA USA Harvard Med Sch Brigham & Womens Hosp Lab Math Imaging Boston MA USA

ISBN: (数字)9783319541303

ISBN: (纸本)9783319541303;9783319541297

Microstructural measures from diffusion MRI have been used for classification purposes in neurodegenerative and psychiatric conditions. Novel diffusion reconstruction models can lead to better and more accurate measures of tissue properties: each measure provides different information on white matter microstructure in the brain, revealing different signs of disease. The diversity of computable measures makes it necessary to develop novel classification procedures to capture all of the available information from each measure. Here we introduce a multichannel regularized logistic regression algorithm that classifies individuals' diagnostic status based on several microstructural measures, derived from their diffusion MRI scans. With the aid of a TV-L1 prior, which ensures sparsity in the classification model, the resulting linear models point to the most classifying brain regions for each of the diffusion MRI measures, giving the method additional descriptive power. We apply our regularized regression approach to classify Alzheimer's disease patients and healthy controls in the ADNI dataset, based on their diffusion MRI data.

关键词： Diffusion

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Sparse Representation for White Matter Fiber Compression and Calculation of Inter-Fiber Similarity 1

引用

MICCAI Workshop on Computational Diffusion MRI

作者： Moreno, Gali Zimmerman Alexandroni, Guy Sochen, Nir Greenspan, Hayit Tel Aviv Univ Tel Aviv Israel

ISBN: (数字)9783319541303

ISBN: (纸本)9783319541303;9783319541297

Recent years have brought about impressive reconstructions of white matter architecture, due to the advance of increasingly sophisticated MRI based acquisition methods and modeling techniques. These result in extremely large sets of streamelines (fibers) for each subject. The sets require large amount of storage and are often unwieldy and difficult to manipulate and analyze. We propose to use sparse representations for fibers to achieve a more compact representation. We also propose the means for calculating inter-fiber similarities in the compressed space using a measure, which we term: Cosine with Dictionary Similarity Weighting (CWDS). The performance of both sparse representations and CWDS is evaluated on full brain fiber-sets of 15 healthy subjects. The results show that a reconstruction error of slightly below 2 mm is achieved, and that CWDS is highly correlated with the cosine similarity in the original space.

关键词： Fibers

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A Task-Based View on the Visual Analysis of Eye-Tracking Data 1st

引用

1st Workshop on Eye Tracking and visualization (ETVIS)

作者： Kurzhals, Kuno Burch, Michael Blascheck, Tanja Andrienko, Gennady Andrienko, Natalia Weiskopf, Daniel Univ Stuttgart Allmandring 19 D-70569 Stuttgart Germany Univ Stuttgart Univ Str 38 D-70569 Stuttgart Germany Fraunhofer Inst IAIS Schloss Birlinghoven D-53757 St Augustin Germany City Univ London London EC1V 0HB England

ISBN: (纸本)9783319470245;9783319470238

The visual analysis of eye movement data has become an emerging field of research leading to many new visualization techniques in recent years. These techniques provide insight beyond what is facilitated by traditional attention maps and gaze plots, providing important means to support statistical analysis and hypothesis building. There is no single "all-in-one" visualization to solve all possible analysis tasks. In fact, the appropriate choice of a visualization technique depends on the type of data and analysis task. We provide a taxonomy of analysis tasks that is derived from literature research of visualization techniques and embedded in our pipeline model of eye-tracking visualization. Our task taxonomy is linked to references to representative visualization techniques and, therefore, it is a basis for choosing appropriate methods of visual analysis. We also elaborate on how far statistical analysis with eye-tracking metrics can be enriched by suitable visualization and visual analytics techniques to improve the extraction of knowledge during the analysis process.

关键词： Eye tracking

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Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion 1

引用

MICCAI Workshop on Computational Diffusion MRI

作者： Yang, Zhanlong Chen, Geng Shen, Dinggang Yap, Pew-Thian Northwestern Polytech Univ Coll Marine Xian Shaanxi Peoples R China Univ N Carolina Dept Radiol Chapel Hill NC 27599 USA Univ N Carolina BRIC Chapel Hill NC 27599 USA Northwestern Polytech Univ Data Proc Ctr Xian Shaanxi Peoples R China

ISBN: (数字)9783319541303

ISBN: (纸本)9783319541303;9783319541297

Construction of brain atlases is generally carried out using a two-step procedure involving registering a population of images to a common space and then fusing the aligned images to form an atlas. In practice, image registration is not perfect and simple averaging of the images will blur structures and cause artifacts. In diffusion MRI, this is further complicated by the possibility of within-voxel fiber misalignment due to natural inter-subject orientation dispersion. In this paper, we propose a method to improve the construction of diffusion atlases in light of inter-subject fiber dispersion. Our method involves a novel q-space (i.e., wavevector space) patch matching mechanism that is incorporated in a mean shift algorithm to seek the most probable signal at each point in q-space. Our method relies on the fact that the mean shift algorithm is a mode seeking algorithm that converges to the mode of a distribution and is hence robustness to outliers. Our method is therefore in effect seeking the most probable signal profile at each voxel given a distribution of profiles. Experimental results confirm that our method yields cleaner fiber orientation distribution functions with less artifacts caused by dispersion.

关键词： Diffusion

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The VERP Explorer: A Tool for Exploring Eye Movements of Visual-Cognitive Tasks Using Recurrence Plots 1st

引用

1st Workshop on Eye Tracking and visualization (ETVIS)

作者： Demiralp, Cagatay Cirimele, Jesse Heer, Jeffrey Card, Stuart K. IBM Corp Yorktown Hts NY 10598 USA Tangible Play Inc Palo Alto CA USA Univ Washington Seattle WA 98195 USA Stanford Univ Stanford CA 94305 USA

ISBN: (纸本)9783319470245;9783319470238

Eye movement based analysis is becoming ever prevalent across domains with the commoditization of eye-tracking hardware. Eye-tracking datasets are, however, often complex and difficult to interpret and map to higher-level visual-cognitive behavior. Practitioners using eye tracking need tools to explore, characterize and quantify patterned structures in eye movements. In this paper, we introduce the VERP (visualization of Eye movements with Recurrence Plots) Explorer, an interactive visual analysis tool for exploring eye movements during visual-cognitive tasks. The VERP Explorer couples conventional visualizations of eye movements with recurrence plots that reveal patterns of revisitation over time. We apply the VERP Explorer to the domain of medical checklist design, analyzing eye movements of doctors searching for information in checklists under time pressure.

关键词： Eye movements

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