检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,465 篇 会议
111 篇 期刊文献
3 册 图书
2 篇 专利

馆藏范围

1,580 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

995 篇 工学
- 409 篇 计算机科学与技术...
- 213 篇 软件工程
- 199 篇 电气工程
- 165 篇 机械工程
- 143 篇 生物医学工程（可授...
- 121 篇 信息与通信工程
- 106 篇 仪器科学与技术
- 97 篇 光学工程
- 73 篇 核科学与技术
- 67 篇 控制科学与工程
- 57 篇 生物工程
- 56 篇 测绘科学与技术
- 53 篇 电子科学与技术（可...
- 20 篇 材料科学与工程（可...
- 19 篇 航空宇航科学与技...
- 13 篇 土木工程
- 13 篇 化学工程与技术
532 篇 理学
- 400 篇 物理学
- 117 篇 数学
- 52 篇 生物学
- 34 篇 统计学（可授理学、...
- 28 篇 系统科学
- 21 篇 化学
- 16 篇 地球物理学
- 12 篇 天文学
346 篇 医学
- 239 篇 临床医学
- 150 篇 特种医学
- 26 篇 基础医学(可授医学...
53 篇 管理学
- 43 篇 管理科学与工程(可...
22 篇 农学
- 19 篇 作物学
6 篇 教育学
4 篇 法学
4 篇 艺术学
3 篇 经济学
1 篇 文学
1 篇 军事学

主题

646 篇 image reconstruc...
86 篇 three-dimensiona...
79 篇 cameras
63 篇 computed tomogra...
57 篇 tomography
56 篇 positron emissio...
54 篇 reconstruction a...
54 篇 image processing
53 篇 magnetic resonan...
53 篇 image resolution
51 篇 compressed sensi...
51 篇 training
50 篇 surface reconstr...
48 篇 image segmentati...
46 篇 image quality
42 篇 shape
41 篇 image coding
40 篇 detectors
40 篇 solid modeling
36 篇 images

机构

8 篇 washington univ ...
8 篇 univ canterbury ...
8 篇 univ british col...
7 篇 department of ra...
6 篇 dartmouth coll t...
6 篇 los alamos natl ...
6 篇 univ canterbury ...
4 篇 centre for space...
4 篇 univ nevada dept...
4 篇 prism computat s...
4 篇 infn sezione di ...
4 篇 pontificia unive...
4 篇 the barcelona in...
4 篇 department of as...
4 篇 simon fraser uni...
4 篇 univ chicago dep...
4 篇 univ n carolina ...
4 篇 faculty of engin...
4 篇 lawrence livermo...
4 篇 mpi informat saa...

作者

14 篇 wang lihong v.
14 篇 anastasio mark a...
9 篇 g.t. gullberg
8 篇 v. panin
8 篇 millane rp
7 篇 m. conti
7 篇 v.y. panin
7 篇 v. y. panin
7 篇 rueckert daniel
6 篇 jitapunkul s.
6 篇 sossi vesna
6 篇 pistorius stephe...
6 篇 s. jitapunkul
6 篇 g.l. zeng
6 篇 v. sossi
5 篇 berti a.
5 篇 barrio j.a.
5 篇 v. patanavijit
5 篇 asano k.
5 篇 huang chao

语言

1,540 篇 英文
31 篇 其他
10 篇 中文

检索条件"任意字段=Conference on Image Reconstruction from Incomplete Data V"

共 1581 条记录，以下是231-240 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Model-based image reconstruction for dynamic cardiac perfusion MRI from sparse data

Model-based image reconstruction for dynamic cardiac perfusi...

引用

28th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Awate, Suyash P. DiBella, Edward v. R. Tasdizen, Tolga Whitaker, Ross T. Univ Utah Sch Computing Salt Lake City UT 84112 USA Univ Utah Dept Radiol Salt Lake City UT 84108 USA

ISBN: (纸本)9781424400324

The paper presents a novel approach for dynamic magnetic resonance imaging (MRI) cardiac perfusion image reconstruction from sparse k-space data. It formulates the reconstruction problem in an inverse-methods setting. Relevant prior information is incorporated via a parametric model for the perfusion process. This wealth of prior information empowers the proposed method to give high-quality reconstructions from very sparse k-space data. The paper presents reconstruction results using both Cartesian and radial sampling strategies using data simulated from a real acquisition. The proposed method produces high-quality reconstructions using 14% of the k-space data. The model-based approach can potentially greatly benefit cardiac myocardial perfusion studies as well as other dynamic contrast-enhanced MRI applications including tumor imaging.

关键词： Cardiology

来源：评论

学校读者我要写书评

暂无评论

Inverse scattering of strongly scattering targets using redundant data sets

Inverse scattering of strongly scattering targets using redu...

引用

2nd conference on image reconstruction from incomplete data

作者： Semichaevsky, Av Ghogomu, P Al Ababneh, N Testorf, ME Fiddy, MA Univ Massachusetts Lowell Dept Elect & Comp Engn Lowell MA 01854 USA

ISBN: (纸本)0819445592

For weakly scattering permittivities, each measurement of the scattered far field can be interpreted as a sampling point of the Fourier transformation of the object. Furthermore, each sampling point can be accessed by more than one combination of wavelength, propagation direction, and polarization of the incident field. This means, a set of measurements which access the same sampling point can be regarded as being redundant. For strongly scattering objects the Fourier diffraction slice theorem does not apply. We show that measurements which are redundant in the weakly scattering case can be exploited to resolve difficulties associated with imaging of the strongly scattering objects. One dimensional geometries are investigated to estimate the potential redundant data sets offer for addressing the inverse scattering problem of strongly and multiply scattering objects. In addition, we discuss preliminary results for solving 2D imaging problems.

关键词： nonlinear inverse scattering strongly scattering objects multiple scattering polarimetric information diffraction tomography synthetic aperture radar

来源：评论

学校读者我要写书评

暂无评论

Attribute Augmentation with Sparse Coding 22

Attribute Augmentation with Sparse Coding

引用

22nd International conference on Pattern Recognition (ICPR)

作者： Wang, Xiaoyang Ji, Qiang Rensselaer Polytech Inst Dept Elect Comp & Syst Engn Troy NY 12180 USA

ISBN: (纸本)9781479952083

This work proposes a novel sparse coding based approach for augmenting attributes in both object recognition and facial expression recognition applications. Attributes are a set of manually specified binary descriptions of visual objects. Though playing an important role in different applications like zero-shot learning, image description and recognition, the manually specified attributes suffer from the incomplete capturing of the original image data. In this work, we propose to augment the original manually specified semantic attributes with the augmented attributes which are also sparse, based on the minimization of the reconstruction error between the original image and the concatenated semantic and augmented attributes. We propose to iteratively learn the dictionaries as well as recover the augmented attributes in the optimization. For our applications of object recognition and facial expression recognition, the augmented attributes combined with the predicted semantic attributes can improve the overall recognition rate. Also, our learned dictionaries show certain meanings captured by the attributes.

关键词： Dictionaries Encoding Equations Face recognition Object recognition Optimization Semantics Dictionaries as Topic object recognition Semantics Facial Recognition Sparse coding reconstruction error original image image description image data Manual handling

来源：评论

学校读者我要写书评

暂无评论

Method to decrease nonlinear image reconstruction distortions caused by measurement errors

Method to decrease nonlinear image reconstruction distortion...

引用

Proceedings of the 1995 3rd URSI International Symposium on Signals, Systems and Electronics, ISSSE'95

作者： Bajkova, Anisa T. Inst of Applied Astronomy of RAS St-Petersburgh Russia

The problem of nonlinear distortions of images reconstructed from incomplete and noisy spectrum data using nonlinear optimization methods such as maximum entropy method is considered. To decrease the level of nonlinear distortions it is proposed to seek solution in the space of complex functions using generalized maximum entropy method instead of classical one.

关键词： image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Metal Artifact Reduction in Computed Tomography by Constrained Optimization

Metal Artifact Reduction in Computed Tomography by Constrain...

引用

conference on Medical Imaging - Physics of Medical Imaging

作者： Zhang, Xiaomeng Wang, Jing Xing, Lei Stanford Univ Dept Elect Engn Stanford CA 94305 USA Stanford Univ Dept Radiat Oncol Stanford CA 94305 USA

ISBN: (纸本)9780819480231

Computed tomography (CT) streak artifacts caused by metal implants have long been recognized as a problem that limits various applications of CT imaging. An effective and robust algorithm is highly desirable to minimize metal artifacts and achieve clinically acceptable CT images. In this work, the raw projection data is viewed as "incomplete" in the presence of metal shadows. Shape and location of metal objects are automatically identified and used as prior knowledge for accurate segmentation of metal shadows in projection domain. An iterative algorithm based on constrained optimization is then used for the image reconstruction. This algorithm minimizes a quadratic penalized smoothness measure function of the image, subject to the constraint that the estimated projection data is within a specified tolerance of the available metal-shadow-excluded projection data, with image non-negativity enforced. The constrained minimization problem is optimized through the combination of projection onto convex sets (POCS) and steepest gradient descent of the smoothness measure objective. Digital phantom study shows that the proposed constrained optimization algorithm has superior performance in reducing metal artifacts, suppressing noise and improving soft-tissue visibility. Some comparisons are performed with the filtered-back-projection (FBP), FDK, POCS and constrained optimization with total-variation (Tv) objective. Although the algorithm is presented in the context of metal artifacts, it can be generated to image reconstruction from incomplete projections caused by limited angular range or low angular sampling rate in both 2D and 3D cases.

关键词： computed tomography (CT) metal artifacts image reconstruction optimization

来源：评论

学校读者我要写书评

暂无评论

NON-LINEAR METHODS FOR image reconstruction from PARTIAL INFORMATION.

NON-LINEAR METHODS FOR IMAGE RECONSTRUCTION FROM PARTIAL INF...

引用

13th Congress of the International Commission for Optics, Optics in Modern Science and Technology, conference Digest.

作者： Darling, A.M. Fiddy, M.A. Byrne, C.L. Queen Elizabeth Coll London Engl Queen Elizabeth Coll London Engl

The restoration or reconstruction of an object distribution or image when only limited discrete Fourier data are available is a common problem in many disciplines. Such problems are known to be ill-posed but regularisation theory defines a set of admissible or approximate estimates for the image by imposing constraints on these estimates. Even in the absence of noise, incomplete sampled data means that there are infinitely many image estimates consistent with, for example, the available Fourier data and the image support. To resolve these ambiguities prior knowledge is used to reduce the class of allowed solutions and to design a model and an optimality criterion.

关键词： image processing

来源：评论

学校读者我要写书评

暂无评论

ACCELERATING THE OvER-RELAXED ITERATIvE SHRINKAGE-THRESHOLDING ALGORITHMS WITH FAST AND EXACT LINE SEARCH FOR HIGH RESOLUTION TOMOGRAPHIC image reconstruction

ACCELERATING THE OVER-RELAXED ITERATIVE SHRINKAGE-THRESHOLDI...

引用

IEEE International conference on image Processing (ICIP)

作者： Zibetti, Marcelo v. W. Helou, Elias S. Miqueles, Eduardo X. De Pierro, Alvaro R. UTFPR DAMEC CPGEI Curitiba Parana Brazil Univ Sao Paulo ICMC Sao Carlos SP Brazil LNLS CNPEM Campinas SP Brazil CNPq Campinas SP Brazil

ISBN: (纸本)9781479983391

This paper proposes an accelerating process through the use of a fast and exact line search for the over-relaxed monotone fast iterative shrinkage-threshold algorithms (OMFISTA). This algorithm is applied to high resolution tomographic image reconstruction using data from the Brazilian Synchrotron Light Source (LNLS). The LNLS can capture lots of data from the scanned objects in each angle, but in order to reduce acquisition time, only few angles are captured. Due to the reduced angles, the l(1) penalty is used as a prior to provide a proper reconstruction. Algorithms, such as the fast iterative shrinkage-threshold algorithms (FISTA) and the OMFISTA can be used with some success. However, due to the large computational time at each iteration, even with fast projection/backprojection operators, any reduction in the number of iterations is welcome. In this paper, the fast and exact unidimensional optimization for l(2)-l(1) is used as line search to accelerate the OMFISTA. The results in this paper illustrate that this line search accelerated OMFISTA is faster than FISTA, MFISTA and the OMFISTA.

关键词： Tomographic image reconstruction iterative shrinkage-threshold line search

来源：评论

学校读者我要写书评

暂无评论

Convex Ultrasound image reconstruction with Log-Euclidean Priors

Convex Ultrasound Image Reconstruction with Log-Euclidean Pr...

引用

30th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

作者： Seabra, Jose Xavier, Joao Sanches, Joao Univ Tecn Lisboa Syst & Robot Inst Inst Super Tecn P-1049001 Lisbon Portugal

ISBN: (纸本)9781424418145

image reconstruction from noisy and incomplete observations is usually an ill-posed problem. A Bayesian framework may be adopted do deal with this such inverse task by well posing the reconstruction problem. In this approach, the ill poseness nature of the reconstruction is removed by minimizing a two-term energy function. The first term pushes the solution toward the data and the second regularizes the solution. A Bayesian algorithm for ultrasound image reconstruction and de-noising is proposed where an edge preserving prior is used to reduce the smoothing effect at the transitions. The prior distribution is based on log-Euclidean potential functions that are particular suitable in reconstruction problems under the constraint of positivity, that is, when the unknowns to be estimated should be positive, which is the case, where the noisy observations are modeled by a Rayleigh distribution. In this paper, the reconstruction procedure is formulated as the optimization of a convex function and a Newton method is adopted to obtain the minimizer. This strategy guarantees a convergence to the global minimum in a small number of iterations. Experimental results, using synthetic and real medical images are shown. The proposed method produces images where speckle noise is effectively suppressed and important clinical details (organ and tissue transitions) are preserved.

关键词： Newton-Raphson method

来源：评论

学校读者我要写书评

暂无评论

Sparse representation for the ISAR image reconstruction 5

Sparse representation for the ISAR image reconstruction

引用

conference on Compressive Sensing v - from Diverse Modalities to Big data Analytics

作者： Hu, Mengqi Montalbo, John Li, Shuxia Sun, Ligang Qiao, Zhijun G. Univ Texas Rio Grande Valley UTRGV Sch Math & Stat Sci 1201 W Univ Dr Edinburg TX 78539 USA

ISBN: (纸本)9781510600980

In this paper, a sparse representation of the data for an inverse synthetic aperture radar (ISAR) system is provided in two dimensions. The proposed sparse representation motivates the use a of a Convex Optimization that recovers the image with far less samples, which is required by Nyquist-Shannon sampling theorem to increases the efficiency and decrease the cost of calculation in radar imaging.

关键词： Electroluminescent displays Compressed sensing image restoration Antennas image quality Radar Fourier transforms reconstruction algorithms Signal processing Telecommunications

来源：评论

学校读者我要写书评

暂无评论

COMPUTER image-reconstruction OF BIOELECTRIC CURRENTS from MAGNETOACOUSTIC MEASUREMENTS

COMPUTER IMAGE-RECONSTRUCTION OF BIOELECTRIC CURRENTS FROM M...

引用

1989 ANNUAL INTERNATIONAL CONF OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOC : imageS OF THE TWENTY-FIRST CENTURY

作者： ISLAM, MR TOWE, BC ARIZONA STATE UNIV COLL ENGN TEMPE AZ 85287 USA

The problem of image reconstruction of multiple bioelectric dipolar current sources is considered. The authors report a novel image reconstruction method which is capable of finding not only the magnitude but also the orientation of dipoles for simple dipole combinations. The input simulated data is provided by a magnetoacoustic technique of noninvasive current measurement. The reconstruction method, called the vectorized iterative least-squares technique (v-ILST), is based on the classical ILST approach used in computerized tomography.

关键词： image processing

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共159页 << < 20 21 22 23 24 25 26 27 28 29 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：