Volume Illustration of Muscle from Diffusion Tensor Images
Volume Illustration of Muscle from Diffusion Tensor Images
复制标题
扩散张量图像中肌肉的体积图
DOI：
10.1109/tvcg.2009.203
复制
发表时间：
2009-11-01
影响因子：
5.2
通讯作者：
Liao, Jun
中科院分区：
文献类型：
--
作者：
Chen, Wei;Yan, Zhicheng;Liao, Jun
医学插图已经证明了它的有效性，描绘显着的解剖特征，而隐藏不相关的细节。目前的解决方案对于可视化诸如肌肉的纤维结构是无效的，因为典型的数据集（CT或MRI）不包含方向细节。在本文中，我们介绍了一种新的肌肉插图方法，利用扩散张量成像（DTI）数据和基于示例的纹理合成技术。从体积扩散张量图像开始，我们将其重新表示为标量场和辅助引导向量场，以表示肌肉束的结构和方向。从输入扩散张量图像导出的肌肉掩模用于对肌肉结构进行分类。进一步细化制导矢量场，以去除噪声并澄清结构。为了模拟肌肉的内部外观，我们提出了一种新的基于二维示例的实体纹理合成算法，该算法通过引导向量场来构建实体纹理。图示所构造的标量场和实体纹理有效地突出了肌肉的全局外观以及肌肉纤维的局部形状和结构。我们已经将所提出的方法应用于五个示例数据集（四个猪心和一个猪腿），展示了合理的说明和表达能力。
Medical illustration has demonstrated its effectiveness to depict salient anatomical features while hiding the irrelevant details. Current solutions are ineffective for visualizing fibrous structures such as muscle, because typical datasets (CT or MRI) do not contain directional details. In this paper, we introduce a new muscle illustration approach that leverages diffusion tensor imaging (DTI) data and example-based texture synthesis techniques. Beginning with a volumetric diffusion tensor image, we reformulate it into a scalar field and an auxiliary guidance vector field to represent the structure and orientation of a muscle bundle. A muscle mask derived from the input diffusion tensor image is used to classify the muscle structure. The guidance vector field is further refined to remove noise and clarify structure. To simulate the internal appearance of the muscle, we propose a new two-dimensional example based solid texture synthesis algorithm that builds a solid texture constrained by the guidance vector field. Illustrating the constructed scalar field and solid texture efficiently highlights the global appearance of the muscle as well as the local shape and structure of the muscle fibers in an illustrative fashion. We have applied the proposed approach to five example datasets (four pig hearts and a pig leg), demonstrating plausible illustration and expressiveness.