检索结果-内蒙古大学图书馆

9th Cairo International Biomedical Engineering conference (CIBEC)

作者： Mabrouk, Mai S. Marzouk, Samir Y. Afify, Heba M. Misr Univ Sci & Technol MUST Univ Dept Biomed Engn Cairo Egypt Arab Acad Sci & Technol Basic & Appl Sci Dept Cairo Egypt Modern Univ Technol & Informat MTI Univ Bioelect Engn Dept Cairo Egypt

ISBN: (纸本)9781538681541

The comprehensive framework for analyzing brain images performs by the integration between three dimensional (3D) reconstruction and neuroimaging approach to realize brain diseases progressions. Computer Aided Detection (CAD) technology has numerous achievements in brain tumor processing for improving the quality of brain visualization to support neuroradiologists without the need for surgical biopsy or resection. Despite the advance in the radiological diagnosis of neuroimaging data, magnetic resonance imaging (MRI) has some restrictions that related to human errors and incomplete interpretation of brain tumor regions. Also, MRI scan produces 2D images of the brain that was very difficult to handle different types of tumor. Therefore, many algorithms are used computer-based classification to accurately distinguish between tumor regions from the brain MR images that provided an early diagnosis of brain diseases. This study investigated the CAD system using 3D image reconstruction of MR brain and tumor structures efficiently under MATLAB platform to recognize the location, volume, and type of brain tumors. In addition, the proposed system applied the Fuzzy C-Means (FCM) algorithm as image segmentation and support vector machine (SvM) as image classification for tumor detection of MR brain images. Results confirmed that this 3D model depicted an advanced view for estimating of human brain diseases.

关键词： Computer-Aided Detection (CAD) Magnetic resonance imaging (MRI) 3D image reconstruction support vector machine (SvM) Fuzzy C-Means (FCM) algorithm

来源：评论

学校读者我要写书评

暂无评论

Online MR image reconstruction for compressed sensing acquisition in T2*imaging 18

Online MR image reconstruction for compressed sensing acquis...

引用

conference on Wavelets and Sparsity XvIII

作者： El Gueddari, Loubna Chouzenoux, Emilie vignaud, Alexandre Pesquet, Jean-Christophe Ciuciu, Philippe CEA NeuroSpin Bat 145 F-91191 Gif Sur Yvette France Univ Paris Saclay Inria CEA Saclay Ile de France Parietal Team St Aubin France Univ Paris Saclay CVN Inria Saclay Cent Supelec St Aubin France

ISBN: (数字)9781510629707

ISBN: (纸本)9781510629707

Reducing acquisition time is a major challenge in high-resolution MRI that has been successfully addressed by Compressed Sensing (CS) theory. While the scan time has been massively accelerated by a factor up to 20 in 2D imaging, the complexity of image recovery algorithms has strongly increased, resulting in slower reconstruction processes. In this work we propose an online approach to shorten image reconstruction times in the CS setting. We leverage the segmented acquisition in multiple shots of k-space data to interleave the MR acquisition and image reconstruction steps. This approach is particularly appealing for 2D high-resolution T-2*-weighted anatomical imaging as the largest timing interval (i.e. Time of Repetition) between consecutive shots arises for this kind of imaging. During the scan, acquired shots are stacked together to form mini-batches and image reconstruction may start from incomplete data. For each newly available mini-batch, the previous partial solution is used as warm restart for the next sub-problem to be solved in a timing window compatible with the given TR and the number of shots stacked in a mini-batch. We demonstrate the interest and time savings of using online MR image reconstruction for Cartesian and non-Cartesian sampling strategies combined with a single receiver coil. Next, we extend the online formalism to address the more general multi-receiver phased array acquisition scenario. In this setting, calibrationless image reconstruction is adopted to remain compatible with the timing constraints of online delivery. Our retrospective and prospective results on ex-vivo 2D T-2*-weighted brain imaging show that high-quality MR images are recovered by the end of acquisition for single receiver acquisition and that additional iterations are required when parallel imaging is adopted. Overall, our approach implemented through the Gadgetron framework may be compatible with the data workflow on the scanner to provide the physician with reliable

关键词： C ompressed Sensing Magnetic Resonance Imaging image reconstruction Online processing Structured sparsity

来源：评论

学校读者我要写书评

暂无评论

Interbands phase models for polychromatic image reconstruction in optical interferometry 5

Interbands phase models for polychromatic image reconstructi...

引用

conference on Optical and Infrared Interferometry and Imaging v

作者： Schutz, Antony Ferrari, Andre Thiebaut, Eric Soulez, Ferreol vannier, Martin Mary, David Univ Nice Sophia Antipolis Lab JL Lagrange CNRS Observ Cote Azur Parc Valrose F-06108 Nice 02 France Univ Lyon Univ Lyon 1 Ens Lyon CNRSCtr Rech Astrophys LyonUMR5574 F-69230 St Genis Laval France Ecole Polytech Fed Lausanne Biomed Imaging Grp CH-1015 Lausanne Switzerland

ISBN: (纸本)9781510601932

This paper presents an extension of the spatio-spectral ("3D") image reconstruction algorithm called PAINTER (Polychromatic opticAl INTErferometric reconstruction software). The algorithm is able to solve large scale problems and relies on an iterative process, which alternates estimation of polychromatic images and of complex visibilities. The complex visibilities are not only estimated from squared moduli and closure phases, but also from differential phases, which helps to constrain the polychromatic reconstruction. Alternative methods to construct the specific differential phases used in PAINTER are proposed. Simulations on synthetic data illustrate the specificities of the proposed methods.

关键词： image reconstruction multiwavelengths phases estimation optical interferometry

来源：评论

学校读者我要写书评

暂无评论

Object reconstruction on 3D ultrasound images using simplex meshes

Object reconstruction on 3D ultrasound images using simplex ...

引用

MS'2004 - International conference on Modelling and Simulation

作者： Snezhko, E.v. Tuzikov, A.v. United Institute of Informatics Problems National Academy of Sciences of Belarus Surganova 6 220012 Minsk Belarus

ISBN: (纸本)9856107334

We present an algorithm for 3D object reconstruction on ultrasound images based on simplex meshes. The algorithm uses manually traced object boundaries on several representative non-parallel cross-sections of 3D US image. Simplex meshes are attracted to these contours under the influence of external forces, derived from the initial data. Several algorithms for external force generation are investigated.

关键词： image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Generic and real-time structure from motion using local bundle adjustment

引用

image AND vISION COMPUTING 2009年第8期27卷 1178-1193页

作者： Mouragnon, E. Lhuillier, M. Dhome, M. Dekeyser, F. Sayd, P. Univ Blaise Pascal CNRS LASMEA UMR 6602 F-63177 Clermont Ferrand France CEA Image & Embedded Comp Lab LIST DTSI SARC F-91191 Gif Sur Yvette France

This paper describes a method for estimating the motion of a calibrated camera and the three-dimensional geometry of the filmed environment. The only data used is video input. Interest points are tracked and matched between frames at video rate. Robust estimates of the camera motion are computed in real-time, key frames are selected to enable 3D reconstruction of the features. We introduce a local bundle adjustment allowing 3D points and camera poses to be refined simultaneously through the sequence. This significantly reduces computational complexity when compared with global bundle adjustment. This method is applied initially to a perspective camera model, then extended to a generic camera model to describe most existing kinds of cameras. Experiments performed using real-world data provide evaluations of the speed and robustness of the method. Results are compared to the ground truth measured with a differential GPS. The generalized method is also evaluated experimentally, using three types of calibrated cameras: stereo rig, perspective and catadioptric. (C) 2008 Elsevier B.v. All rights reserved.

关键词： Structure from motion Bundle adjustment Generic camera

来源：评论

学校读者我要写书评

暂无评论

A ROBUST FRAMEWORK FOR GEOTIME CUBE

A ROBUST FRAMEWORK FOR GEOTIME CUBE

引用

15th IEEE International conference on image Processing (ICIP 2008)

作者： Toujas, v. Donias, M. Jeantet, D. Guillon, S. Berthoumieu, Y. Univ Bordeaux 1 ENSEIRB ENSCPBGrp Signal Lab IMSUMR 5218 351 Cours Liberat F-33405 Talence France TOTAL CSTJF F-64018 Pau France

ISBN: (纸本)9781424417650

This paper presents a robust unsupervised framework for 3D seismic data flattening. The resulting volume, called GeoTime cube, brings to light history of sedimentary deposits which is a key issue in petroleum prospecting. The proposed method makes it possible to obtain the transformation by transcribing fundamental principles of geophysics in image processing. The first step is a sedimentary layer reconstruction, the second one consists in numbering them according to their relative geological age and the last one computes a transformation in order to clearly represent them in a flattened way. Finally, the results obtained by our method compared to an existing one show that many relevant information can be extracted from GeoTime cubes and the final flattened data enhances the seismic structures identification.

关键词： Seismic imaging GeoTime Flattening Surface reconstruction Partial Differential Equations

来源：评论

学校读者我要写书评

暂无评论

Analysis of the influence of multiple scattering on the reconstruction of ultrasound tomography signals using synthetic aperture focussing technique

Analysis of the influence of multiple scattering on the reco...

引用

2012 19th International conference on Systems, Signals and image Processing, IWSSIP 2012

作者： Hardt, M. Ruiter, N.v. Gemmeke, H. Germany

ISBN: (纸本)9783200023284

At KIT we are developing a 3D Ultrasound Computer Tomograph (USCT) for breast cancer detection. Our current reconstruction algorithm, Synthetic Aperture Focussing Technique (SAFT) assumes single scattering for the reconstruction of 3D images from the measured data. Higher order reflections cause artefacts in the reconstruction. © 2012 Institute of Telecommunica.

关键词： Tomography

来源：评论

学校读者我要写书评

暂无评论

Implementation of an analytically based scatter correction in SPECT reconstructions

Implementation of an analytically based scatter correction i...

引用

IEEE Nuclear Science Symposium/Medical Imaging conference

作者： vandervoort, E Celler, A Wells, G Blinder, S Dixon, K Pang, YX Univ British Columbia Dept Phys & Astron Vancouver BC V5Z 1M9 Canada

ISBN: (纸本)0780382579

Photon scattering is one of the main effects contributing to the degradation of image quality and to quantitative inaccuracy in nuclear imaging. We have developed a scatter correction based on the analytic photon distribution (APD) method, and implemented it in an iterative image reconstruction algorithm. The performance of the method was evaluated using computer simulated projection data, experimental data obtained from physical phantoms, and patient data. The scatter corrected images were compared to images that were only corrected for attenuation and collimator blurring. In the simulation studies our results could also be compared to an ideal scatter correction in which images were reconstructed only from unscattered photon data. In all cases, our scatter corrected images demonstrate improved image contrast. In the simulated data the contrast for images only corrected for attenuation and collimator blurring were on average 29% poorer than the ideal correction. images for which our scatter correction was applied had contrast that was on average within 3% of the ideal correction. The scatter corrected reconstruction requires between 4 to 5 hours of total CPU time, on a 1.7 GHz processor with 1Gb RDRAM, using clinical data.

关键词： Scattering

来源：评论

学校读者我要写书评

暂无评论

Region-Of-Interest tomography with noisy projection data

Region-Of-Interest tomography with noisy projection data

引用

Proceedings of the 2014 International conference on Medicine Sciences and Bioengineering, ICMSB 2014

作者： Ye, Renzhen Tang, Yi College of Sciences Huazhong Agricultural University WuhanHubei China School of Mathematics and Computer Science Yunnan Minzu University KunmingYunnan China

ISBN: (纸本)9781138026841

In Region-Of-Interest(ROI) tomography, image reconstruction is an ill-conditioned inverse problem due to the presence of additive noise and incomplete projection data. To improve reconstructed image quality, this paper is aimed at reconstructing a small portion of an object from noisy observations of its projections sampled in and near the ROI. The proposed method can divided into two steps to reconstruct ROI of an object from a set of its noisy projection lines that passed through ROI. First, we introduce filter matrices to filter noisy projection data in multiresolution local tomography. Second, we apply total variation(Tv) methods to make reconstructed image deblurring. Experimental results show that the proposed method outperforms state-of-the-art method. © 2015 Taylor & Francis Group, London.

关键词： Tomography

来源：评论

学校读者我要写书评

暂无评论

Iterative reconstruction of large scenes using heterogeneous feature tracking

Iterative reconstruction of large scenes using heterogeneous...

引用

26th IEEE conference on Computer vision and Pattern Recognition (CvPR)

作者： Rohith, M., v Rhein, Stephen Lu, Guoyu Sorensen, Scott Mahoney, Andrew R. Eicken, Hajo Ray, G. Carleton Kambhamettu, Chandra Univ Delaware Dept Comp & Informat Sci Video Image Modeling & Synth VIMS Lab Delaware OH 43015 USA Univ Alaska Fairbanks Inst Geophys Fairbanks AK 99709 USA Univ Virginia Dept Environm Sci Charlottesville VA 22903 USA

ISBN: (纸本)9780769549903

With image capturing technology growing ubiquitous in consumer products and scientific studies, there is a corresponding growth in the applications that utilize scene structure for deriving information. This trend has also been reflected in the plethora of recent studies on reconstruction using robust structure from motion, bundle adjustment, and related techniques. Most of these studies, however, have concentrated on unstructured collections of images. In this paper, we propose a feature tracking and reconstruction framework for structured image collections using heterogenous features. This is motivated by the observation that images contain a small number of features that are fast/easy to track and a large number of features that are difficult/slow to track. By tracking these separately, we show that we can not only improve the tracking speed, but also improve the tracking accuracy by using a camera geometry based descriptor. We demonstrate this on a new challenging dataset which contains images of Arctic sea ice. The reconstruction pipeline constructed using the proposed method provides near real time reconstruction of the scene, enabling the user to parse vast amounts of data rapidly. Quantitative comparisons with baseline SFM techniques show that reconstruction accuracy does not suffer.

关键词： computational geometry feature extraction geophysical image processing image motion analysis image reconstruction image sensors iterative methods object tracking sea ice

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：