Spatio-temporal image analysis for longitudinal and time-series image data : Second International Workshop, STIA 2012, held in conjunction with MICCAI 2012, Nice, France, October 1, 2012, proceedings. STIA (Conference) (2nd : 2012 : Nic...最新文献

筛选
英文 中文
Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling. 通过联合图像配准和标记在纵向扫描中追踪脑转移瘤。
Nicha Chitphakdithai, Veronica L Chiang, James S Duncan
{"title":"Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling.","authors":"Nicha Chitphakdithai,&nbsp;Veronica L Chiang,&nbsp;James S Duncan","doi":"10.1007/978-3-642-33555-6_11","DOIUrl":"10.1007/978-3-642-33555-6_11","url":null,"abstract":"<p><p>The treatment of metastatic brain tumors with stereotactic radiosurgery requires that the clinician first locate the tumors and measure their volumes. Thoroughly searching a patient scan for brain tumors and delineating the lesions can be a long and difficult task when done manually and is also prone to human error. In this paper, we present an automated method for detecting changes in brain tumor lesions over longitudinal scans to aide the clinician's task of determining tumor volumes. Our approach jointly registers the current image with a previous scan while estimating changes in intensity correspondences due to tumor growth or regression. We combine the label map with correspondence changes with tumor segmentations from a previous scan to estimate the metastases in the new image. Alignment and tumor tracking results show promise on 28 registrations using real patient data.</p>","PeriodicalId":90731,"journal":{"name":"Spatio-temporal image analysis for longitudinal and time-series image data : Second International Workshop, STIA 2012, held in conjunction with MICCAI 2012, Nice, France, October 1, 2012, proceedings. STIA (Conference) (2nd : 2012 : Nic...","volume":"7570 ","pages":"124-136"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6559745/pdf/nihms-996653.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37318622","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: 7
Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy. 用于估计解剖学纵向变化的混合效应形状模型。
Manasi Datar, Prasanna Muralidharan, Abhishek Kumar, Sylvain Gouttard, Joseph Piven, Guido Gerig, Ross Whitaker, P Thomas Fletcher
{"title":"Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy.","authors":"Manasi Datar,&nbsp;Prasanna Muralidharan,&nbsp;Abhishek Kumar,&nbsp;Sylvain Gouttard,&nbsp;Joseph Piven,&nbsp;Guido Gerig,&nbsp;Ross Whitaker,&nbsp;P Thomas Fletcher","doi":"10.1007/978-3-642-33555-6_7","DOIUrl":"https://doi.org/10.1007/978-3-642-33555-6_7","url":null,"abstract":"<p><p>In this paper, we propose a new method for longitudinal shape analysis that fits a linear mixed-effects model, while simultaneously optimizing correspondences on a set of anatomical shapes. Shape changes are modeled in a hierarchical fashion, with the global population trend as a fixed effect and individual trends as random effects. The statistical significance of the estimated trends are evaluated using specifically designed permutation tests. We also develop a permutation test based on the Hotelling <i>T</i><sup>2</sup> statistic to compare the average shapes trends between two populations. We demonstrate the benefits of our method on a synthetic example of longitudinal tori and data from a developmental neuroimaging study.</p>","PeriodicalId":90731,"journal":{"name":"Spatio-temporal image analysis for longitudinal and time-series image data : Second International Workshop, STIA 2012, held in conjunction with MICCAI 2012, Nice, France, October 1, 2012, proceedings. STIA (Conference) (2nd : 2012 : Nic...","volume":"7570 ","pages":"76-87"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-642-33555-6_7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32909063","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: 18
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信