Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops最新文献_第7页

Learning IMED via shift-invariant transformation 通过平移不变变换学习IMED

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 2009-01-01 DOI: 10.1109/CVPR.2009.5206720

Bing Sun, Jufu Feng, Liwei Wang

引用次数: 0

A Multiple Geometric Deformable Model Framework for Homeomorphic 3D Medical Image Segmentation. 一种多几何可变形模型框架用于同胚三维医学图像分割。

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 2008-07-15 DOI: 10.1109/CVPRW.2008.4563013

Xian Fan, Pierre-Louis Bazin, John Bogovic, Ying Bai, Jerry L Prince

引用次数: 0

Online random forests based on CorrFS and CorrBE 基于CorrFS和CorrBE的在线随机森林

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 2008-06-23 DOI: 10.1109/CVPRW.2008.4563065

O. Elgawi

引用次数: 19

Asymmetric and Symmetric Unbiased Image Registration: Statistical Assessment of Performance. 非对称和对称无偏图像配准:性能的统计评估。

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 2008-06-01 Epub Date: 2008-07-15 DOI: 10.1109/CVPRW.2008.4562988

Igor Yanovsky, Paul M Thompson, Stanley Osher, Alex D Leow

{"title":"Asymmetric and Symmetric Unbiased Image Registration: Statistical Assessment of Performance.","authors":"Igor Yanovsky, Paul M Thompson, Stanley Osher, Alex D Leow","doi":"10.1109/CVPRW.2008.4562988","DOIUrl":"https://doi.org/10.1109/CVPRW.2008.4562988","url":null,"abstract":"Measures of brain changes can be computed from sequential MRI scans, providing valuable information on disease progression for neuroscientific studies and clinical trials. Tensor-based morphometry (TBM) creates maps of these brain changes, visualizing the 3D profile and rates of tissue growth or atrophy. In this paper, we examine the power of different nonrigid registration models to detect changes in TBM, and their stability when no real changes are present. Specifically, we investigate an asymmetric version of a recently proposed unbiased registration method, using mutual information as the matching criterion. We compare matching functionals (sum of squared differences and mutual information), as well as large deformation registration schemes (viscous fluid registration versus symmetric and asymmetric unbiased registration) for detecting changes in serial MRI scans of 10 elderly normal subjects and 10 patients with Alzheimer's Disease scanned at 2-week and 1-year intervals. We demonstrated that the unbiased methods, both symmetric and asymmetric, have higher reproducibility. The unbiased methods were also less likely to detect changes in the absence of any real physiological change. Moreover, they measured biological deformations more accurately by penalizing bias in the corresponding statistical maps.","PeriodicalId":89346,"journal":{"name":"Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops","volume":"2008 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CVPRW.2008.4562988","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35565303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

CTREC: C-arm Tracking and Reconstruction using Elliptic Curves. 基于椭圆曲线的c臂跟踪与重建。

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 2008-06-01 DOI: 10.1109/CVPRW.2008.4563029

Gouthami Chintalapani, Ameet K Jain, David H Burkhardt, Jerry L Prince, Gabor Fichtinger

{"title":"CTREC: C-arm Tracking and Reconstruction using Elliptic Curves.","authors":"Gouthami Chintalapani, Ameet K Jain, David H Burkhardt, Jerry L Prince, Gabor Fichtinger","doi":"10.1109/CVPRW.2008.4563029","DOIUrl":"https://doi.org/10.1109/CVPRW.2008.4563029","url":null,"abstract":"C-arm fluoroscopy is ubiquitous in contemporary surgery, but it lacks the ability to accurately reconstruct three-dimensional information, attributable to the difficulty in obtaining the pose of X-ray images in 3D space. We propose a unified mathematical framework to address the issues of intra-operative pose estimation, correspondence and reconstruction, using simple elliptic curves. In contrast to other fiducial-based tracking methods, our method uses a single ellipse to constrain 5 out of 6 degrees of freedom of C-arm pose, along with randomly distributed unknown points in the imaging volume (either naturally present or induced by randomly placed beads or other markers in the image space) from two images/views to completely recover the C-arm pose. Preliminary phantom experiments indicate an average C-arm tracking accuracy of 0.51° and 0.12° STD. The method appears to be sufficiently accurate and appealing for many clinical applications, since it uses a simple elliptic fiducial coupled with patient information and has very minimal interference with the workspace.","PeriodicalId":89346,"journal":{"name":"Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops","volume":"2008 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2008-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CVPRW.2008.4563029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34077889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

MRF's forMRI's: Bayesian Reconstruction of MR Images via Graph Cuts MRF的forMRI:通过图切割的MR图像的贝叶斯重建

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 2006-06-17 DOI: 10.1109/CVPR.2006.192

A. Raj, Gurmeet Singh, R. Zabih

引用次数: 33

Cortical Surface Shape Analysis Based on Spherical Wavelet Transformation. 基于球面小波变换的皮质表面形状分析。

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 2006-06-01 DOI: 10.1109/CVPRW.2006.62

Peng Yu, Xiao Han, Florent Ségonne, Rudolph Pienaar, Randy L Buckner, Polina Golland, P Ellen Grant, Bruce Fischl

引用次数: 4

Wire Structure Pattern Extraction and Tracking From X-Ray Images of Composite Mechanisms 复合机构x射线图像中线材结构模式的提取与跟踪

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 2006-01-01 DOI: 10.1109/CVPR.2006.335

D. Tschumperlé, M. Fadili

引用次数: 0

Local Steerable Phase (LSP) Feature for Face Representation and Recognition 局部可控制相位(LSP)特征用于人脸表示和识别

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 2006-01-01 DOI: 10.1109/CVPR.2006.177

Xiaoxun Zhang, Yunde Jia

引用次数: 6

Facial Muscle Activations from Motion Capture 面部肌肉激活的动作捕捉

Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops Pub Date : 2005-06-20 DOI: 10.1109/CVPR.2005.154

Eftychios Sifakis, Ronald Fedkiw

引用次数: 4