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Noise and resolution of Bayesian reconstruction for multiple image configurations 多图像配置贝叶斯重构的噪声与分辨率
Pub Date : 1992-10-25 DOI: 10.1109/NSSMIC.1992.301049
G. Chinn, S. Huang
Images reconstructed by Bayesian and maximum-likelihood (ML) using a Gibbs prior with prior weight beta were compared to images produced by filtered backpropagation (FBP) from sinogram data simulated with different counts and image configurations, Bayesian images were generated by the OSL algorithm accelerated by an overrelaxation parameter and modified by a simple averaging procedure to dampen instabilities caused by acceleration. For relatively low beta , Bayesian images can yield an overall improvement of the images compared to ML. However, for larger beta , Bayesian images degrade from the standpoint of noise and quantitation. Compared to FBP, the ML images were superior in a mean-square error sense in regions of low activity level and for small structures. Bayesian reconstruction can recover resolution without sacrificing noise performance and is dependent on the image structure and the weight of the Bayesian prior.<>
利用Gibbs先验和最大似然(ML)重建的图像与利用滤波后的反向传播(FBP)从不同计数和图像配置的正弦图数据中获得的图像进行了比较,贝叶斯图像由OSL算法生成,由超松弛参数加速,并通过简单的平均程序进行修改,以抑制加速度引起的不稳定性。对于相对较低的beta,贝叶斯图像可以产生与ML相比的图像的整体改进。然而,对于较大的beta,贝叶斯图像从噪声和量化的角度来看会下降。与FBP相比,ML图像在低活动水平区域和小结构区域的均方误差意义上优于FBP。贝叶斯重建可以在不牺牲噪声性能的情况下恢复分辨率,并且依赖于图像结构和贝叶斯先验的权重。
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引用次数: 16
A digital front-end readout microsystem for calorimetry at LHC-the FERMI Project FERMI项目中用于lhc量热计的数字前端读出微系统
Pub Date : 1992-10-25 DOI: 10.1109/NSSMIC.1992.301281
C. Alippi, G. Appelquist, S. Berglund, C. Bohm, L. Breveglieri, S. Brigati, P. Carlson, P. Cattaneo, L. Dadda, A. Dell'Acqua, C. Fuglesang, G. Fumagalli, U. Gatti, V. Goggi, M. Hansen, H. Hentzell, A. Kerek, B. Lofstedt, F. Maloberti, V. Piuri, F. Salice, M. Sami, R. Stefanelli, R. Sundblad, C. SveNSSMICon, G. Torelli, J. Vanuxem, N. Yamdagni, J. Yuan
The authors present a digital solution to the front-end electronics for calorimetric detectors at future supercolliders based on high-speed analog-to-digital converters, a fully programmable pipeline/digital filter chain, and local intelligence. Questions of error correction, fault-tolerance, and system redundancy are also considered. A system integration of a multichannel device in a multichip, silicon-on-silicon microsystem hybrid will be used. This solution allows a new level of integration of complex analog and digital functions, with excellent flexibility in mixing technologies for the different functional blocks. This type of VLSI multichip integration allows a high degree of programmability at both the function and the system level, and offers the possibility of customizing the microsystem with detector-specific functions.<>
作者提出了一种基于高速模数转换器、完全可编程管道/数字滤波器链和本地智能的未来超级对撞机热量探测器前端电子器件的数字解决方案。还考虑了纠错、容错和系统冗余等问题。将使用多芯片中多通道器件的系统集成,硅对硅微系统混合。该解决方案将复杂的模拟和数字功能集成到一个新的水平,在不同功能模块的混合技术方面具有出色的灵活性。这种类型的VLSI多芯片集成允许在功能和系统级别具有高度的可编程性,并提供定制具有探测器特定功能的微系统的可能性。
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引用次数: 8
CAMAC-based data acquisition for the Apnea Unit 基于camac的呼吸暂停单元数据采集
Pub Date : 1992-10-25 DOI: 10.1109/NSSMIC.1992.301311
D. C. Hensley
Summary form only given. The Apnea Unit, an active-passive neutron examination and assay unit, extends the traditional differential dieaway technique for the nondestructive assay of transuranic waste. A key aspect of the new capabilities of this device is the novel approach to the data acquisition. The unit currently gives individual support to over 80 /sup 3/He gas proportional tubes for neutron detection and maintains a detailed list-mode time history for each detector. The CAMAC-based data acquisition system centers on a multi-time tagging module which records detector hits and their associated time. The data are managed in a CAMAC crate by an event handler which services the time tagging modules and blocks the resulting data through a FIFO into a personal computer. The richness of the resulting data is already being used to profile the contents of an assay drum and to differentiate events associated with cosmic rays.<>
只提供摘要形式。呼吸暂停装置是一种主动-被动中子检测和分析装置,它扩展了传统的超铀废物无损检测的微分消亡技术。该设备新功能的一个关键方面是数据采集的新方法。该装置目前为超过80个/sup 3/He气体比例管提供单独支持,用于中子探测,并为每个探测器维护详细的列表模式时间历史。基于camac的数据采集系统以多时间标记模块为核心,该模块记录探测器命中事件及其相关时间。数据在CAMAC箱中由事件处理程序管理,该事件处理程序为时间标记模块提供服务,并通过FIFO将结果数据阻塞到个人计算机中。结果数据的丰富性已经被用于分析检测鼓的内容并区分与宇宙射线相关的事件。
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引用次数: 0
Current-mode time-to-amplitude converter for precision sub-nanosecond measurement 用于精确亚纳秒测量的电流模式时间-幅度转换器
Pub Date : 1992-10-25 DOI: 10.1109/NSSMIC.1992.301295
J. M. Rochelle, M. L. Simpson
A novel time-to-amplitude converter (TAC) topology is presented that allows the conversion of time durations down to and including zero. The stability of this circuit depends only on the matching of two DC current sources. Over a 16 ns full-scale range the integral nonlinearity of this circuit was <+or-0.15%; the differential nonlinearity was <+or-2% over the top half of the range and <+or-6% over the bottom half of the range.<>
提出了一种新颖的时间-幅度转换器(TAC)拓扑结构,该拓扑结构允许将时间持续时间转换为零或包括零。该电路的稳定性仅取决于两个直流电流源的匹配。在16ns满量程范围内,该电路的积分非线性>
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引用次数: 8
Mobile robotics in future nuclear reactor environments 未来核反应堆环境中的移动机器人
Pub Date : 1992-10-25 DOI: 10.1109/NSSMIC.1992.301391
Y. Fujii, D. Wehe, T.E. Weymouth, J. Borenstein
An approach to developing more capable mobile robots through integrating robotics R&D with advanced reactor design is presented. The GE ALMR (Advanced Liquid Metal Reactor) design is used as the focus for defining the mobile robotic R&D being performed in the areas of locomotion, sensing, manipulation, navigation, machine intelligence, and man-machine shared control.<>
提出了将机器人技术研发与先进反应器设计相结合,开发高性能移动机器人的方法。GE ALMR(先进液态金属反应堆)设计被用作定义移动机器人研发的重点,这些机器人正在运动、传感、操纵、导航、机器智能和人机共享控制等领域进行研发。
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引用次数: 1
Junction field effect transistors as radiation detectors 作为辐射探测器的结场效应晶体管
Pub Date : 1992-10-25 DOI: 10.1109/NSSMIC.1992.301183
J. Lund, F. Olschner
The use of junction field effect transistors (JFETs) as radiation detectors is described. Measurements of the energy resolution of n-channel JFETs operated as X-ray spectrometers are presented. An energy resolution of 210 eV FWHM at 5.9 keV was obtained at room temperature using a commercially available JFET as a detector. An analysis of the behavior of JFETs as X-ray spectrometers is presented together with suggestions on designing future devices specifically for use as radiation detectors. It is concluded that detectors approaching the performance of cooled Si(Li) detectors but capable of operating at room temperature could be made from JFETs.<>
介绍了结场效应晶体管(jfet)作为辐射探测器的应用。介绍了用x射线光谱仪测量n沟道jfet能量分辨率的方法。利用市售的JFET作为探测器,在室温下获得了5.9 keV下210 eV FWHM的能量分辨率。对jfet作为x射线光谱仪的性能进行了分析,并对未来设计专门用作辐射探测器的器件提出了建议。研究结果表明,利用jfet可以制备出性能接近冷却型Si(Li)探测器但又能在室温下工作的探测器
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引用次数: 1
Scatter correction in maximum-likelihood reconstruction of PET data PET数据最大似然重建中的散点校正
Pub Date : 1992-10-25 DOI: 10.1109/NSSMIC.1992.301098
M. Daube-Witherspoon, R. Carson, Y. Yan, T. K. Yap
To obtain quantitative PET (positron emission tomography) images with the ML (maximum likelihood) reconstruction algorithm, the authors investigated the inclusion of a correction for scatter. They implemented the spatially variant convolution method of M. Bergstrom et al. (J. Comput. Assist. Tomogr., vol.7, p.42-50, 1983) which assumes that scatter is independent of depth and collapses the problem to a projection-by-projection scatter model. The model was implemented in three ways: subtraction of scatter estimated from measured projections prior to reconstruction; inclusion of a scatter estimate from the measured projection data in the iteration loop; and inclusion of a scatter estimate in the iteration loop, based on the previous iteration's estimate of trues from the image. The reconstructions were performed on an Intel iPSC/860 hypercube computer. Analysis of the convergence, bias, and noise properties of the three methods of scatter correction demonstrated only slight differences between the methods for real phantom data taken on the Scanditronix PC2048-15B brain PET scanner. The structure of this ML algorithm permits direct extension to a more comprehensive model of scatter.<>
为了使用最大似然重建算法获得定量PET(正电子发射断层扫描)图像,作者研究了包含散射校正的方法。他们实现了M. Bergstrom等人的空间变卷积方法。协助。Tomogr。, vol.7, p.42-50, 1983),它假设散射与深度无关,并将问题分解为逐投影的散射模型。该模型通过三种方式实现:在重建之前减去测量投影估计的散点;在迭代循环中包含来自测量投影数据的散点估计;并在迭代循环中包含一个散点估计,基于前一次迭代对图像真值的估计。在Intel iPSC/860超立方体计算机上进行重构。对三种散射校正方法的收敛性、偏置性和噪声特性的分析表明,在scanitronix PC2048-15B脑PET扫描仪上获取的真实幻象数据的方法之间只有轻微的差异。这种ML算法的结构允许直接扩展到更全面的散点模型。
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引用次数: 27
The CERN control protocol for power converters CERN电源转换器控制协议
Pub Date : 1992-10-25 DOI: 10.1109/NSSMIC.1992.301347
I. Barnett, G. Benincasa, O. Berrig, R. Brun, P. Burla, G. Coudert, J. Pett, R. Pittin, J. Royer, N. Trofimov
The CERN Control Protocols provide, for a class of similar devices, a unique and standard access procedure from the control system. Behavioral models have been proposed for the different kinds of power converters, and the corresponding functionalities, with their parameters, variables and attributes, have been identified. The resulting data structures have been presented using the ISO ASN.1 metalanguage, which permits universal representation independent of any computer environment. Implementations in the UNIX-based CERN accelerator control systems are under development. A description of the implementation phase as it is presently being developed at CERN in a cluster of 120 power converters is presented.<>
CERN控制协议为一类类似的设备提供了一个来自控制系统的独特和标准的访问程序。针对不同类型的电源变换器提出了行为模型,并确定了相应的功能,包括其参数、变量和属性。生成的数据结构使用ISO ASN.1元语言表示,它允许独立于任何计算机环境的通用表示。在基于unix的CERN加速器控制系统中的实现正在开发中。介绍了目前在CERN的120个功率转换器集群中开发的实施阶段的描述。
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引用次数: 1
Kink recognition with neural networks 用神经网络识别扭结
Pub Date : 1992-10-25 DOI: 10.1109/NSSMIC.1992.301445
G. Stimpfl-Abele
The task of finding decays of charged tracks inside a tracking device is divided into two parts. First, a neural network is used to recognize kinks in well-constructed tracks. The inputs to this classification network are the residuals and the curvature obtained by a one-track fit. If a kink has been found, the same inputs are fed into a second neural network, which gives the radial position of the decay vertex. Both algorithms use feedforward nets with error backpropagation. Very good performance is found in comparison with conventional methods.<>
在跟踪装置中寻找带电轨道衰变的任务分为两个部分。首先,使用神经网络识别构造良好的轨道中的扭结。该分类网络的输入是残差和单轨拟合得到的曲率。如果发现了一个拐点,同样的输入被输入到第二个神经网络中,这个神经网络给出了衰减顶点的径向位置。这两种算法都使用带有误差反向传播的前馈网络。与传统方法相比,该方法具有很好的性能。
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引用次数: 1
Noise propagation in SPECT images reconstructed using an iterative maximum-likelihood algorithm 利用迭代最大似然算法重构SPECT图像中的噪声传播
Pub Date : 1992-10-25 DOI: 10.1109/NSSMIC.1992.301462
Soo Chin Liew, C. F. Ku, B. H. Hasegawa
Computer simulations were performed to investigate the effects of the photon noise in radionuclide projection data and the uncertainty in the attenuation map on the image noise in attenuation-corrected SPECT (single photon emission computed tomography) images reconstructed using a maximum-likelihood expectation-maximization algorithm. Simulated radionuclide projection data from a head phantom were acquired using a fan-beam geometry consistent with the emission-transmission (ETCT) system being developed at the University of California at San Francisco. The mean ( mu ) of the reconstructed pixel values in the region of interest started to converge after 10 iterations and the standard deviation ( sigma ) increased with the number of iterations. The sigma / mu ratio was found to be inversely proportional to the square root of the total detected counts and proportional to the relative uncertainty in the attenuation maps. These two noise components contributed independently towards the noise in the reconstructed image. In a typical ETCT system employing an X-ray tube for attenuation map acquisition, the uncertainty in the reconstructed radionuclide distribution would be limited mainly by photon noise in the projection data.<>
通过计算机模拟研究了放射性核素投影数据中的光子噪声和衰减图中的不确定性对使用最大似然期望最大化算法重建的衰减校正SPECT(单光子发射计算机断层扫描)图像噪声的影响。模拟的放射性核素投影数据来自头部幻影,使用的扇形波束几何形状与加州大学旧金山分校正在开发的发射传输(ETCT)系统一致。10次迭代后,感兴趣区域重构像素值的均值(mu)开始收敛,标准差(sigma)随着迭代次数的增加而增大。发现sigma / mu比与总检测计数的平方根成反比,与衰减图中的相对不确定度成正比。这两种噪声分量对重构图像中的噪声独立贡献。在采用x射线管获取衰减图的典型ETCT系统中,重建的放射性核素分布的不确定性主要受到投影数据中的光子噪声的限制。
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引用次数: 0
期刊
IEEE Conference on Nuclear Science Symposium and Medical Imaging
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