交互式多模态影像可视化用于多发性硬化症病变分析

Sherin Sugathan, H. Bartsch, F. Riemer, R. Grüner, K. Lawonn, N. Smit
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引用次数: 3

摘要

多发性硬化症(MS)是一种脑部疾病,通过MRI扫描进行诊断和监测。其中一个标准是所谓的脑损伤的外观。在MRI扫描中,病变表现为与周围健康组织相比对比度升高或降低的区域。从二维MRI切片的多种模式图像中理解对比度、位置和形状的复杂相互作用是具有挑战性的。病变的外观和位置相关特征的高级可视化将帮助研究人员通过MS研究更好地定义疾病特征。由于多发性硬化症不可能永久治愈,基于药物的疾病改变是一种常见的治疗途径,提供更好的可视化将加强研究白质病变的影响。在这里,我们提出了一种先进的可视化解决方案,支持从临床常规检查中获得的多种成像模式进行分析。该解决方案有可能使研究人员对病变特征有更直观的感知。作为增强分析可能性的一个例子,我们展示了使用扩散张量成像(DTI)和基于梯度的技术进行病变投影的好处。这种方法使用户能够评估个体之间的大脑结构,因为基于地图集的分析提供了来自同一参与者和不同参与者的一系列大脑扫描的3D锚定和区域标记。大脑表面的投影也使研究人员能够对认知障碍与病变位置之间的关系进行详细的研究。这使得研究人员能够将损伤与布罗德曼区和相关的大脑功能联系起来。我们在一个支持DTI和结构数据的原型应用程序中实现了解决方案。一项定性评估表明,我们的方法通过为质谱研究提供新的机会来支持质谱研究人员。CCS概念•以人为中心的计算→可视化应用领域;
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Interactive Multimodal Imaging Visualization for Multiple Sclerosis Lesion Analysis
Multiple Sclerosis (MS) is a brain disease that is diagnosed and monitored extensively through MRI scans. One of the criteria is the appearance of so-called brain lesions. The lesions show up on MRI scans as regions with elevated or reduced contrast compared to the surrounding healthy tissue. Understanding the complex interplay of contrast, location and shape in images from multiple modalities from 2D MRI slices is challenging. Advanced visualization of appearanceand location-related features of lesions would help researchers in defining better disease characterization through MS research. Since a permanent cure is not possible in MS and medication-based disease modification is a common treatment path, providing better visualizations would strengthen research which investigates the effect of white matter lesions. Here we present an advanced visualization solution that supports analysis from multiple imaging modalities acquired in a clinical routine examination. The solution holds potential for enabling researchers to have a more intuitive perception of lesion features. As an example for enhancing the analytic possibilities, we demonstrate the benefits of lesion projection using both Diffusion Tensor Imaging (DTI) and gradient-based techniques. This approach enables users to assess brain structures across individuals as the atlas-based analysis provides 3D anchoring and labeling of regions across a series of brain scans from the same participant and across different participants. The projections on the brain surface also enable researchers to conduct detailed studies on the relationship between cognitive disabilities and location of lesions. This allows researchers to correlate lesions to Brodmann areas and related brain functions. We realize the solutions in a prototype application that supports both DTI and structural data. A qualitative evaluation demonstrates that our approach supports MS researchers by providing new opportunities for MS research. CCS Concepts • Human-centered computing → Visualization application domains;
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