Search Plan Generation-Based Segmentation of Medical Radiographic Images

基于搜索计划生成的医学放射图像分割

• 批准号: 07680408
• 负责人: FUKUSHIMA Shigehiro
• 金额: $ 1.47万
• 依托单位: Kyushu Institute of Design (1997)Kyushu Institute of Technology (1995-1996)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1995
• 资助国家: 日本
• 起止时间: 1995 至 1997
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-07680408/
• 关键词: Gastric radiograms; Radiograms of temporomandubular joint; Image understanding; Region segmentation; Search; Active contour; Optimization; Dynamic programming; 画像認識; コンピュータ支援画像診断; 医用画像; システム構築; ハフ変換; 画像理解; 詳細化

Methods have been developed for region segmentation on the basis of search plan generation. The objects are the organs in the gastric radiograms and in the radiographic images of the temporomandibular joint. The gastric radiograms are of good quality but its structure is complex, while the radiograms of the mandibular joint are rather of a simple structure but their quality is poor. The methods adopted the search strategy of "Global-to-Fine" : i.e. generating the search plan flrst, and then finding the detail. The concrete methods of segmentation were designed by problem solving approach adapted to the properties of the respective regions. For the gastric radiograms, the region of the stomach was found by a line-tracking method which refers to the guide image of extracted feature elements. It was also found by an optimization method which uses the active contour and the dynamic programming. The barium pool region was found by an edge-based method which uses the zero-crossing, without using the search plan. It was also found by first grouping the concave points of the gray-level and then by region growing. The spinal region was found by excluding the interfererence from the barium pool region and by applying the Hough transformation to coarsely extracting the spinal sides. The recognition methods for the individual regions were integrated to construct an image understanding system. The methods achieved good performance of recognition of the regions. For the radiograms of the temporomandibular joint, the models were positively used from the early stages of the process of preprocessing, edge enhancement, and the following optimization by dynamic programming. The methods achieved good performance of tracing of the region of interest. An indication was given for the measurement of the region of interest.

已经根据搜索计划生成开发了区域细分的方法。这些物体是胃放射图中的器官和颞下颌关节的放射线图。胃射线图的质量很好，但其结构很复杂，而下颌关节的辐射图是一个简单的结构，但它们的质量很差。该方法采用了“全球到五”的搜索策略：即生成搜索计划，然后找到细节。分割的具体方法是通过适应各个区域特性的问题解决方法设计的。对于胃放射图，通过线跟踪方法发现胃的区域，该方法指的是提取的特征元素的指南图像。还通过一种使用活动轮廓和动态编程的优化方法找到了它。钡池区域是通过基于边缘的方法发现的，该方法使用零交叉，而无需使用搜索计划。还可以通过首先将灰度级别的凹点进行分组，然后通过区域生长进行分组。通过排除钡池区域的干扰以及施用霍夫转化以粗糙地提取脊柱侧的脊柱来发现脊柱区域。集成了单个区域的识别方法以构建图像理解系统。这些方法实现了对区域的认可表现良好。对于颞下颌关节的放射图，模型是从预处理，边缘增强过程的早期阶段进行正面使用的，并通过动态编程进行了以下优化。这些方法实现了感兴趣区域的良好表现。提出了测量目标区域的指示。

项目成果

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Ken Yamauchi 等：“基于零交叉的双层胃 X 射线图像的钡积累区域的识别”医学成像技术 13・4（1995）。

S.Fukushima: "Division-based analysis of symmetry and its application" IEEE Transactions on Pattern Analysis and Machine Intelligence. 19・2. 144-148 (1997)

S. Fukushima：“基于除法的对称性分析及其应用”IEEE Transactions on Pattern Analysis and Machine Intelligence 19・2（1997）。

S.Fukushima, et al.: "Extraction of barium region from double-contrast gastric radiogram on the basis of grouping" Proc.7th CADM (Japan Society of Computer Aided Diagnosis of Medical Images). 153-154 (1997)

S.Fukushima 等人：“基于分组的双对比胃射线照片提取钡区域”Proc.7th CADM（日本计算机辅助医学图像诊断协会）。

奈良 美奈子 他: "最適化による顎関節X線画像からのトレース図の生成" Medical Imaging Technology. 13・4. 515-516 (1995)

Minako Nara 等人：“通过优化从颞下颌关节 X 射线图像生成轨迹图”医学成像技术 13・4（1995 年）。