基于外标记点的2D/3D图像配准方法

提出了一种基于外标记点的无框架配准方法.该方法首先建立参考坐标系,接着根据外标记点在两幅2D图像中的对应坐标,求出2D图像像素坐标到参考坐标系的转换关系,然后根据外标记点在3D图像坐标系中的坐标,求解3D图像坐标系和参考坐标系的转换矩阵,通过一组矩阵运算,从而实现2D/3D图像的配准.临床图像的实验结果表明,该方法的配准精度为(0.026 7±0.044 7)mm.     

Adaptive speckle reduction of ultrasound images based on maximum likelihood estimation

A method has been developed in this paper to gain effective speckle reduction in medical ultrasound images. To exploit full knowledge of the speckle distribution, here maximum likelihood was used to estimate speckle parameters corresponding to its statistical mode. Then the results were incorporated into the nonlinear anisotropic diffusion to achieve adaptive speckle reduction. Verified with simulated and ultrasound images, we show that this algorithm is capable of enhancing features of clinical interest and reduces speckle noise more efficiently than just applying classical filters. To avoid edge contribution, changes of contrast-to-noise ratio of different regions are also compared to investigate the performance of this approach.     

Adaptive Order Polynomial Fitting for Pulmonary Nodule Segmentation in Chest Radiograph

Segmentation of pulmonary nodules in chest radiographs is a particularly challenging task due to heavy noise and superposition of fibs, vessels, and other complicated anatomical structures in lung field. In this paper, an adaptive order polynomial fitting based ray- casting algorithm is proposed for pulmonary nodule segmentation in chest radiographs. Instead of detecting nodule edge points directly, the nodule intensity proffies are first fitted by using the polynomials with adaptively determined orders. Then, the edge positions are identified through analyzing the local minimum of the fitted curves. The performance of the proposed algorithm was evaluated over an image database with 148 nodule cases in chest radiographs that were collected from a variety of digital radiograph modalities. The preliminary results show the proposed algorithm can obtain a high rate of successful segmentations.     

宇宙γ射线暴

 γ射线暴(以下简称γ暴)是来自宇宙空间的一种短时标的高能γ射线爆发现象。它的发现颇有戏剧性:60年代中期,为了监督关于禁止在大气层中进行核试验的条约的执行情况,美国发射了一些卫星,以监测核爆炸中的γ射线事件。1967年开始,Ｖｅｌａ卫星真的不时记录到一些γ射线爆发现象,使美国政府十分紧张。军方花了几年的时间终于搞清楚它们均来自于宇宙空间,证实只是一场虚惊。由于军事保密的原因,该现象直到1973年才由美国洛斯阿拉莫斯实验室的Ｋｌｅｂｅｓａｄｅｌ、Ｓｔｒｏｎｇ和Ｏｌｓｏｎ在ＡｐＪ(美国《天体物理杂志》)的一篇快报中以“对源自宇宙空间的γ射线爆发的观测”为题发表出来。     

一种有效缓解协同过滤推荐评价数据稀疏问题的算法

在采用协同过滤算法构建个性化推荐的系统中,经常面临用户评价数据稀疏问题,这将严重降低个性化推荐的准确度.针对此问题,提出了一种混合加权预测填充算法,从用户访问的资源特征以及该资源在整个用户群体中被访问的热度出发,对用户访过的但未给出评价的数据进行预测并填充,从而降低了由于用户评价数据缺失所造成的评价矩阵稀疏程度,提高推荐准确度.在MoiveLense数据集上的试验结果表明,该算法能够明显地提高推荐准确度.     

海洋钻修机"柴改电"技术方案研究与实施

为推动海洋钻修机绿色低碳发展,进一步提升海洋钻修机完整性管理,开展了海洋钻修机"柴改电"技术研究与应用.在围绕海洋钻修机的配电方案、电量校核及本质安全等内容进行技术分析的基础上,提出了技术改造方案,且成功开展了HXJ180海洋钻修机电控系统的适应性改造.此技术不仅解决了海洋钻修机的"零"排放要求,同时也解决了电源脱扣、...     

浅析校园文化在高职思想政治教育中的作用

校园文化是学校师生员工在长期的工作生活过程中形成的价值观、工作思想、群体意识和行为规范的总和,具有约束学校整体行为以及师生员工个体行为的作用。校园文化是学校思想政治建设的重要阵地,作为人才成长和高职思想政治教育建设的微观环境,校园文化是学生学习和生活的文化空间。校园文化充实和发展了思想政治教育,为思想政治教育提供了新的渠道和载体。     

布疑、分层、融合——高三数学复习课课堂教学优化的策略

新课程标准非常强调课堂上学生的参与度,强调学生课堂教学参与的广度、参与的深度、参与的态度．指出“学生的数学学习活动不应是只限于接受、记忆、模仿和练习,高中数学课程还应倡导自主探索、动手实践、合作交流、阅读自学等数学学习方式”．高三数学教学是整个中学教学的归宿,但是受学生年龄特征和教师教学方式的影响,当前高中数学课堂教学中学生的参与程度不尽如人意,有的课堂气氛沉闷、缺乏师生交流;     

Adaptive speckle reduction of ultrasound images based on maximum likelihood estimation

A method has been developed in this paper to gain effective speckle reduction in medical ultrasound images.To exploit full knowledge of the speckle distribution, here maximum likelihood was used to estimate speckle parameters corresponding to its statistical mode. Then the results were incorporated into the nonlinear anisotropic diffusion to achieve adaptive speckle reduction. Verified with simulated and ultrasound images,we show that this algorithm is capable of enhancing features of clinical interest and reduces speckle noise more efficiently than just applying classical filters. To avoid edge contribution, changes of contrast-to-noise ratio of different regions are also compared to investigate the performance of this approach.     

基于PIX的患者就医卡匹配算法的研究与应用

要实现电子病历共享,必须解决患者身份标识问题.针对这种需求,结合医疗健康信息集成规范(IHE)患者身份标识交叉索引(PIX)技术框架,提出了患者就诊卡匹配算法.通过数据预处理、身份特征筛选、身份匹配,实现患者身份标识的交叉索引,并用某医院及其分院的患者就诊卡信息数据库生成测试数据.试验结果表明,该匹配算法的准确率和召回率分别达到95%和98%,能够很好地解决患者身份识别问题.