Probability parametric imaging with DCE-MRI data to identify prostate cancer in the peripheral zone

To quantitatively analyze prostate dynamic contrast-enhanced magnetic resonance images (DCE-MRI), a retrospective study was carried out to construct a mathematical model to predict whether a lesion is cancerous or not. With known diagnosis of 52 regions-of-interest (10 malignant, 26 benign and 16 normal) in peripheral zone (PZ) of prostate from 18 patients undergoing needle biopsy and 8 normal volunteers, we combined feature parameters (k1, k2 and tp) from the linear-slope model with logistic regression to determine the statistical probability model. Prostate cancerous probability maps were derived using the model on each subject to examine the correlation between the model-based prediction and the known diagnosis. Compared the model prediction results of 52 regions-of-interest with the histopathologic results, the total agreement rate was 90.4%; the agreement rate was 60% for the malignant and 97.6% for the nonmalignant. The diagnostic results only referencing the probability maps by two radiologists showed a high agreement in tissue characteristics and lesion location with the combining results from other diagnostic techniques such as PSA (prostate specific antigen) level and MRS (magnetic resonance spectroscopy).     

Wm ∨ Wn的邻强边色数

得到了Wm ∨ Wn的邻点可区别边色数,其中Wm与Wn分别表示m 1阶和n 1阶的轮,Wn ∨ Wn表示Wm和Wn的联图.     

基于生命周期的家电产品碳排放计算方法研究

文章在收集某款家电产品的主流生产水平数据的基础上,采用GaBi数据库中的温室气体排放相关数据,依据ISO 14040制定的生命周期评价理论框架,采用PAS 2050准则开展家电产品碳排放评估的研究,制订了碳排放评估模型;以豆浆机产品为例,讨论不同生命周期过程对碳排放产生的影响.结果表明,豆浆机在使用阶段的温室气体的排放量最大.     

蒙药森登四味汤的研究进展

对蒙药森登四味汤的源流及其近年来相关化学成分、药理作用、剂型改进、质量控制等现代研究进展进行了文献综述,为该蒙药的进一步深入研究和推广及开发应用提供参考．     

荧光淬灭法研究黑豆凝集素Ⅰ微环境与构象的关系

用KI、CsCl和丙烯酰胺对黑豆（Glycine max var.）凝集素Ⅰ(GMLⅠ)进行内源荧光淬灭研究.天然黑豆凝集素Ⅰ在280 nm波长激发下显示λmax为339 nm的内源荧光发射光谱,表明凝集素荧光生色基团位于相对疏水的环境中;3种淬灭剂对GMLⅠ的荧光淬灭属于动态淬灭机制.GMLⅠ分子的生色基团Trp残基对中性淬灭剂丙烯酰胺的可接近程度为100%,而对阴离子淬灭剂KI的可接近程度为81.6%,对阳离子淬灭剂CsCl的可接近程度为52.8%,表明GMLⅠ中大部分Trp残基位于分子表面或近表面,只有小部分包埋于分子内部的疏水性环境中,并且Trp残基周围所处微环境带正电荷的比例比带负电荷的比例高.     

最大理论密度线邻近级配沥青混合料的VMA变化分析

为研究沥青混合料的级配曲线改变后矿料间隙率(VMA)的变化规律,以Superpave最大理论密度线级配为基准级配,在此基础上设计了三种级配曲线变化方式,并应用Hudson法分析了各变化级配矿料间隙率的变化规律.三种级配曲线变化形式分别为平行变化级配、绕起点旋转级配和绕最大理论密度线上4.75 mm粒径通过率点旋转级配.分析发现最大理论密度线级配曲线按不同方式改变后,其矿料间隙率的变化有不同的特点.     

一种改进的RBF神经网络学习算法

提出了一种改进的RBF神经网络学习算法 ,分别通过减聚类和监督学习算法对网络参数和权值进行训练 ,既可以根据样本合理地聚类、确定RBF径向基函数的个数和相应参数 ,又具有较强的网络映射能力 ,从而不仅使RBF神经网络结构得以优化 ,性能也得到了提高。仿真结果表明了该学习算法的实用性和有效性     

基于模糊数的模糊学习理论的关键定理

考虑到现实世界的模糊性,结合模糊集理论和模糊统计学的知识,首先给出了关于模糊数函数以及模糊随机变量函数的若干定理;提出了模糊学习问题的一般表示;最后给出并证明了基于模糊数的模糊学习理论的关键定理.     

基于信度分配的串行集成CMAC及其仿真

针对Albus CMAC在学习精度与存贮容量之间的矛盾,借鉴神经网络集成思想,并引入可信度的概念,提出了基于信度分配的串行集成CMAC,以提高学习系统的泛化能力和网络收敛速度。通过对复杂非线性函数的逐级降维,分步逼近,有效地提高了网络的学习精度。仿真研究进一步验证了该方案的可行性和有效性。     

Joint segmentation and motion estimation of left ventricle with an anisotropic biomechanical model

Accurate estimation of shape and motion variability of the heart has important clinical implications for heart disease diagnosis. In this paper, we describe a framework which performs simultaneous segmentation and motion analysis of the left ventricle from 3D cardiac images. The left ventricle is formulated as an anisotropic linear elastic body represented by a set of tetrahedrons constructed from sampling nodes. The elastic body is evolved by both internal force and external force, and the external force imposed on each node is an integration of edginess measure, shape coherence measure, prior distributions of the myocardial tissues and temporal driven measure. The displacement field and the segmentation result are simultaneously solved at the equilibrium state between the internal energy and the external energy. The experiment with 3D canine MR images illustrated its abilities and benefits.