派博傳思國際中心

標題: Titlebook: Biomedical Image Registration; Third International Josien P. W. Pluim,Bo?tjan Likar,Frans A. Gerritse Conference proceedings 2006 Springer [打印本頁]

作者: interminable    時間: 2025-3-21 20:01
書目名稱Biomedical Image Registration影響因子(影響力)




書目名稱Biomedical Image Registration影響因子(影響力)學科排名




書目名稱Biomedical Image Registration網(wǎng)絡(luò)公開度




書目名稱Biomedical Image Registration網(wǎng)絡(luò)公開度學科排名




書目名稱Biomedical Image Registration被引頻次




書目名稱Biomedical Image Registration被引頻次學科排名




書目名稱Biomedical Image Registration年度引用




書目名稱Biomedical Image Registration年度引用學科排名




書目名稱Biomedical Image Registration讀者反饋




書目名稱Biomedical Image Registration讀者反饋學科排名





作者: PALSY    時間: 2025-3-21 23:35

作者: Indigence    時間: 2025-3-22 02:44
Automatic Inter-subject Registration of Whole Body Images,sor-based morphometry. A number of methods have been proposed to tackle this problem but few of them have focused on the problem of registering whole body image volumes acquired either from humans or small animals. These image volumes typically contain a large number of articulated structures, which
作者: 窗簾等    時間: 2025-3-22 06:59
Local Intensity Mapping for Hierarchical Non-rigid Registration of Multi-modal Images Using the Croach in image registration. For multi-modal images mutual information is the usual choice for the measure of patch similarity. As already recognized in the literature, the statistical consistency of mutual information is drastically reduced when it is estimated for regions covering only a limited num
作者: Bother    時間: 2025-3-22 09:02

作者: Arboreal    時間: 2025-3-22 15:08
Removal of Interpolation Induced Artifacts in Similarity Surfaces,the other is found by maximizing a similarity measure. Similarity surfaces are subject to scalloping artifacts due to interpolation that give local maxima, and, in some cases, erroneous global maxima. We propose a new linear filter that is applied to input images and which removes scalloping artifac
作者: 極少    時間: 2025-3-22 19:47

作者: HALO    時間: 2025-3-22 21:38

作者: 座右銘    時間: 2025-3-23 03:22
Canonical Correlation Analysis of Sub-cortical Brain Structures Using Non-rigid Registration,y statistically relative to each other. Canonical correlation analysis is a multivariate statistical technique which extracts and quantifies correlated behaviour between two sets of vector variables. Firstly, we perform non-rigid image registration of 93 sets of 3D MR images to build sets of surface
作者: armistice    時間: 2025-3-23 06:55
A Novel 3D/2D Correspondence Building Method for Anatomy-Based Registration,igid, has been proven to improve the accuracy and precision of various image-guided therapies. One of the key steps for a successful anatomy-based registration is to establish 3D/2D correspondence between the 3D model and the 2D images. This paper presents a novel 3D/2D correspondence building metho
作者: 褲子    時間: 2025-3-23 11:21
2D-to-3D X-Ray Breast Image Registration,mages with previous mammographic exams of the same woman, there is a need for a method to register a mammogram with tomo-synthetic images of the same breast; this is the focus of our paper. We have chosen to approach this multimodality registration problem by registering a mammogram with individual
作者: 閑聊    時間: 2025-3-23 16:42

作者: aphasia    時間: 2025-3-23 18:20
Geometrical Regularization of Displacement Fields with Application to Biological Image Registrationstration applications – 3D volume reconstruction, cross-dye histology gene mapping, etc. – induce an equally diverse set of requirements in terms of accuracy and robustness. In turn, these directly translate into regularization constraints on the deformation model, which should ideally be specifiabl
作者: 違抗    時間: 2025-3-24 01:17
Myocardial Deformation Recovery Using a 3D Biventricular Incompressible Model,rk is that the method is mathematically guaranteed to generate incompressible deformations. This is a desirable property since the myocardium has been shown to be close to incompressible. The method is based on an incompressible deformable model that can include all four cardiac chambers and has a r
作者: Essential    時間: 2025-3-24 02:29
A Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration,us work, we proposed a general framework called . to parameterize deformations with a small number of rigid or affine components, while guaranteeing the invertibility of global deformations. However, this framework lacks some important properties: the inverse of a polyaffine transformation is not po
作者: 長處    時間: 2025-3-24 06:55

作者: 制造    時間: 2025-3-24 13:25

作者: Bumptious    時間: 2025-3-24 15:26
Deformable Physiological Atlas-Based Programming of Deep Brain Stimulators: A Feasibility Study,complex and dynamic process that involves optimizing the stimulation parameters and decreasing the anti-parkinsonian medication while assessing the interactions of both treatment modalities. Neurologists who manage patients undergoing DBS therapy must have expert knowledge of the electro-anatomy of
作者: 舔食    時間: 2025-3-24 19:02

作者: 極深    時間: 2025-3-25 00:25

作者: 裂縫    時間: 2025-3-25 07:16

作者: GROG    時間: 2025-3-25 09:07
Geometrical Regularization of Displacement Fields with Application to Biological Image Registratione in a user-friendly fashion..We propose an adaptive regularization approach where the rigidity constraints are informed by the registration application at hand and whose support is controlled by the geometry of the images to be registered..We investigate the behavior of this technique and discuss its sensitivity to the rigidity parameter.
作者: Simulate    時間: 2025-3-25 13:18
Introduction to the Non-rigid Image Registration Evaluation Project (NIREP),sh, maintain, and endorse a standardized set of relevant benchmarks and metrics for performance evaluation of nonrigid image registration algorithms. This paper describes the basic framework of the project.
作者: 表示問    時間: 2025-3-25 19:03
Shelly Agarwal,Shehla Jamal,Dib Dattaon in a principled way. We show that in the absence of prior information, the method reduces approximately to the popular entropy minimization approach of registration and we provide a theoretical comparison of incorporating prior information in our and other currently existing methods. We also demonstrate experimental results on real images.
作者: 出汗    時間: 2025-3-25 20:44
Multi-modal Image Registration Using Dirichlet-Encoded Prior Information,on in a principled way. We show that in the absence of prior information, the method reduces approximately to the popular entropy minimization approach of registration and we provide a theoretical comparison of incorporating prior information in our and other currently existing methods. We also demonstrate experimental results on real images.
作者: 耕種    時間: 2025-3-26 01:29

作者: Oversee    時間: 2025-3-26 05:07

作者: 抒情短詩    時間: 2025-3-26 08:54

作者: 大酒杯    時間: 2025-3-26 15:28

作者: LUT    時間: 2025-3-26 19:45

作者: 粗語    時間: 2025-3-26 21:10

作者: Blemish    時間: 2025-3-27 04:53

作者: 拔出    時間: 2025-3-27 08:20

作者: Pamphlet    時間: 2025-3-27 11:09
Local Intensity Mapping for Hierarchical Non-rigid Registration of Multi-modal Images Using the Crowhich can locally transform images of different modalities into an intermediate pseudo-modality. Integrated into the hierarchical framework, this intensity mapping uses the local joint intensity histograms of the coarsely registered sub-images and allows the use of the more robust cross-correlation coefficient for the matching of smaller patches.
作者: 下級    時間: 2025-3-27 15:55
Removal of Interpolation Induced Artifacts in Similarity Surfaces,ion of an optimization process. In addition, this new filter generates image data with constant variance after linear interpolation, making measurements of signal change more reliable. Following filtering of MR images, similarity surfaces are smoothed with removal of local maxima and biased global maxima.
作者: 去才蔑視    時間: 2025-3-27 21:16

作者: 芳香一點    時間: 2025-3-28 00:47

作者: Phonophobia    時間: 2025-3-28 02:15

作者: neuron    時間: 2025-3-28 08:33
A Unified Framework for Atlas Based Brain Image Segmentation and Registration,EEM) is evaluated for atlas-based segmentation of MR brain images on real data and compared to the standard EM segmentation algorithm without embedded registration component initialized with an affine registered atlas or after registering the atlas using a mutual information based non-rigid registration algorithm (II).
作者: 名字    時間: 2025-3-28 11:26
International Political Economy Seriesitioned images show an outstanding accuracy and robustness by using BSP images, since the grid effects are drastically reduced. The obtained results indicate that BSP partitioning can provide a suitable framework for multiresolution registration.
作者: ANA    時間: 2025-3-28 16:30

作者: Atrium    時間: 2025-3-28 21:20
The Use of Labour by Sector and Locatione in a user-friendly fashion..We propose an adaptive regularization approach where the rigidity constraints are informed by the registration application at hand and whose support is controlled by the geometry of the images to be registered..We investigate the behavior of this technique and discuss its sensitivity to the rigidity parameter.
作者: Synthesize    時間: 2025-3-29 00:35

作者: 濃縮    時間: 2025-3-29 05:43
https://doi.org/10.1007/978-1-349-07204-0left and right ventricles and it has been evaluated against manual segmentation. The volume agreement between the model and the manual segmentation exceeds 90% and the distance between the model and the manually generated endocardial and epicardial surface is 1.65. on average.
作者: AVOID    時間: 2025-3-29 10:56
https://doi.org/10.1007/978-1-349-18790-4cans and large deformations. The experiments show that the stochastic approximation approach is superior in terms of speed and robustness. However, more accurate solutions are obtained with the first technique.
作者: 油氈    時間: 2025-3-29 12:03

作者: 艦旗    時間: 2025-3-29 19:10
A Comparison of Acceleration Techniques for Nonrigid Medical Image Registration,cans and large deformations. The experiments show that the stochastic approximation approach is superior in terms of speed and robustness. However, more accurate solutions are obtained with the first technique.
作者: 有效    時間: 2025-3-29 20:27
Pavika Lal,Igor V. Lakhno,Garima Guptaorithm that includes spatial adaptation of the transformation’s stiffness. The approach has been applied to whole body CT images of mice and to CT images of the human upper torso. We demonstrate that the approach we propose can successfully register image volumes even when these volumes are very dif
作者: BYRE    時間: 2025-3-30 02:10

作者: Laconic    時間: 2025-3-30 04:56
https://doi.org/10.1007/978-1-349-04678-2t that our novel framework provides a general and efficient way of fusing local rigid or affine deformations into a global invertible transformation without introducing artifacts, independently of the way local deformations are first estimated.
作者: LEVY    時間: 2025-3-30 09:14

作者: 懶惰民族    時間: 2025-3-30 14:32
Josien P. W. Pluim,Bo?tjan Likar,Frans A. Gerritse
作者: Decibel    時間: 2025-3-30 20:00

作者: FLEET    時間: 2025-3-30 20:57

作者: 填料    時間: 2025-3-31 03:01
A Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration,t that our novel framework provides a general and efficient way of fusing local rigid or affine deformations into a global invertible transformation without introducing artifacts, independently of the way local deformations are first estimated.
作者: 欲望    時間: 2025-3-31 05:44

作者: 原始    時間: 2025-3-31 12:14

作者: Constant    時間: 2025-3-31 15:20

作者: Explosive    時間: 2025-3-31 19:53

作者: 令人作嘔    時間: 2025-4-1 01:11
Variational Image Registration with Local Properties,adapted to local material properties. In addition, it enables the introduction of discontinuities within the displacement field inbetween different anatomical structures, like bones and soft tissue. The capability of this approach is demonstrated by various academic examples.
作者: hemophilia    時間: 2025-4-1 04:37

作者: DECRY    時間: 2025-4-1 08:25
0302-9743 Overview: 978-3-540-35648-6978-3-540-35649-3Series ISSN 0302-9743 Series E-ISSN 1611-3349




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