Computational diffusion MRI : MICCAI Workshop最新文献

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A framework to construct a longitudinal DW-MRI infant atlas based on mixed effects modeling of dODF coefficients. 基于dODF系数混合效应建模的纵向DW-MRI婴儿图谱构建框架。
Computational diffusion MRI : MICCAI Workshop Pub Date : 2020-01-01 DOI: 10.1007/978-3-030-52893-5_13
Heejong Kim, Martin Styner, Joseph Piven, Guido Gerig
{"title":"A framework to construct a longitudinal DW-MRI infant atlas based on mixed effects modeling of dODF coefficients.","authors":"Heejong Kim,&nbsp;Martin Styner,&nbsp;Joseph Piven,&nbsp;Guido Gerig","doi":"10.1007/978-3-030-52893-5_13","DOIUrl":"https://doi.org/10.1007/978-3-030-52893-5_13","url":null,"abstract":"<p><p>Building of atlases plays a crucial role in the analysis of brain images. In scenarios where early growth, aging or disease trajectories are of key importance, longitudinal atlases become necessary as references, most often created from cross-sectional data. New opportunities will be offered by creating longitudinal brain atlases from longitudinal subject-specific image data, where explicit modeling of subject's variability in slope and intercept leads to a more robust estimation of average trajectories but also to estimates of confidence bounds. This work focuses on a framework to build a continuous 4D atlas from longitudinal high angular resolution diffusion images (HARDI) where, unlike atlases of derived scalar diffusion indices such as FA, statistics on dODFs is preserved. Multi-scalar images obtained from DW images are used for geometric alignment, and linear mixed-effects modeling from longitudinal diffusion orientation distribution functions (dODF) leads to estimation of continuous dODF changes. The proposed method is applied to a longitudinal dataset of HARDI images from healthy developing infants in the age range of 3 to 36 months. Verification of mixed-effects modeling is obtained by voxel-wise goodness of fit calculations. To demonstrate the potential of our method, we display changes of longitudinal atlas using dODF and derived generalized fractional anisotropy (GFA) of dODF. We also investigate white matter maturation patterns in genu, body, and splenium of the corpus callosum. The framework can be used to build an average dODF atlas from HARDI data and to derive subject-specific and population-based longitudinal change trajectories.</p>","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"2020 ","pages":"149-159"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341566/pdf/nihms-1723534.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9783118","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: 4
Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge 多维扩散(MUDI)数据的获取和预测:一个开放的挑战
Computational diffusion MRI : MICCAI Workshop Pub Date : 2020-01-01 DOI: 10.1007/978-3-030-52893-5_17
M. Pizzolato, M. Palombo, E. Bonet-Carne, W. ChantalM., Tax., Francesco Grussu, A. Ianuş, Fabian Bogusz, Tomasz, Pieciak, L. Ning, H. Larochelle, M. Descoteaux, Maxime, V. Chamberland, Stefano B. Blumberg, T. Mertzanidou, C. Daniel, Alexander, M. Afzali, S. Aja‐Fernández, Derek K. Jones, C. Westin, Y. Rathi, S. Baete, Lucilio, Cordero-Grande, T.R. Ladner, P. Slator, J. Hajnal, J. Thiran, A. Price, F. Sepehrband, Fan, Zhang, J. Hutter
{"title":"Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge","authors":"M. Pizzolato, M. Palombo, E. Bonet-Carne, W. ChantalM., Tax., Francesco Grussu, A. Ianuş, Fabian Bogusz, Tomasz, Pieciak, L. Ning, H. Larochelle, M. Descoteaux, Maxime, V. Chamberland, Stefano B. Blumberg, T. Mertzanidou, C. Daniel, Alexander, M. Afzali, S. Aja‐Fernández, Derek K. Jones, C. Westin, Y. Rathi, S. Baete, Lucilio, Cordero-Grande, T.R. Ladner, P. Slator, J. Hajnal, J. Thiran, A. Price, F. Sepehrband, Fan, Zhang, J. Hutter","doi":"10.1007/978-3-030-52893-5_17","DOIUrl":"https://doi.org/10.1007/978-3-030-52893-5_17","url":null,"abstract":"","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89480629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
A Network-Based Analysis of the Preterm Adolescent Brain Using PCA and Graph Theory
Computational diffusion MRI : MICCAI Workshop Pub Date : 2020-01-01 DOI: 10.1007/978-3-030-52893-5_15
Hassna Irzan, Michael Hütel, Carla Semedo, H. O’Reilly, Manisha Sahota, S. Ourselin, N. Marlow, A. Melbourne
{"title":"A Network-Based Analysis of the Preterm Adolescent Brain Using PCA and Graph Theory","authors":"Hassna Irzan, Michael Hütel, Carla Semedo, H. O’Reilly, Manisha Sahota, S. Ourselin, N. Marlow, A. Melbourne","doi":"10.1007/978-3-030-52893-5_15","DOIUrl":"https://doi.org/10.1007/978-3-030-52893-5_15","url":null,"abstract":"","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"104 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88142664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
DWI Simulation-Assisted Machine Learning Models for Microstructure Estimation 微观结构估计的DWI模拟辅助机器学习模型
Computational diffusion MRI : MICCAI Workshop Pub Date : 2020-01-01 DOI: 10.1007/978-3-030-52893-5_11
Jonathan Rafael-Patino, Thomas Yu, V. Delvigne, M. Barakovic, M. Pizzolato, G. Girard, Derek K. Jones, Erick Jorge Canales-Rodríguez, J. Thiran
{"title":"DWI Simulation-Assisted Machine Learning Models for Microstructure Estimation","authors":"Jonathan Rafael-Patino, Thomas Yu, V. Delvigne, M. Barakovic, M. Pizzolato, G. Girard, Derek K. Jones, Erick Jorge Canales-Rodríguez, J. Thiran","doi":"10.1007/978-3-030-52893-5_11","DOIUrl":"https://doi.org/10.1007/978-3-030-52893-5_11","url":null,"abstract":"","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"88 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72984276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Inference of an Extended Short Fiber Bundle Atlas Using Sulcus-Based Constraints for a Diffeomorphic Inter-subject Alignment 基于沟槽约束的扩展短纤维束图谱的微分同构比对推断
Computational diffusion MRI : MICCAI Workshop Pub Date : 2019-10-13 DOI: 10.1007/978-3-030-05831-9_25
Nicole Labra Avila, J. Lebenberg, D. Rivière, G. Auzias, C. Fischer, F. Poupon, P. Guevara, C. Poupon, J. F. Mangin
{"title":"Inference of an Extended Short Fiber Bundle Atlas Using Sulcus-Based Constraints for a Diffeomorphic Inter-subject Alignment","authors":"Nicole Labra Avila, J. Lebenberg, D. Rivière, G. Auzias, C. Fischer, F. Poupon, P. Guevara, C. Poupon, J. F. Mangin","doi":"10.1007/978-3-030-05831-9_25","DOIUrl":"https://doi.org/10.1007/978-3-030-05831-9_25","url":null,"abstract":"","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78362717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
A Framework for Calculating Time-Efficient Diffusion MRI Protocols for Anisotropic IVIM and An Application in the Placenta 计算各向异性IVIM的时间效率扩散MRI协议的框架及其在胎盘中的应用
Computational diffusion MRI : MICCAI Workshop Pub Date : 2019-10-13 DOI: 10.1007/978-3-030-05831-9_20
P. Slator, J. Hutter, A. Ianuş, Eleftheria Panagiotaki, M. Rutherford, J. Hajnal, D. Alexander
{"title":"A Framework for Calculating Time-Efficient Diffusion MRI Protocols for Anisotropic IVIM and An Application in the Placenta","authors":"P. Slator, J. Hutter, A. Ianuş, Eleftheria Panagiotaki, M. Rutherford, J. Hajnal, D. Alexander","doi":"10.1007/978-3-030-05831-9_20","DOIUrl":"https://doi.org/10.1007/978-3-030-05831-9_20","url":null,"abstract":"","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74924460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Correction to: Supervised Classification of White Matter Fibers Based on Neighborhood Fiber Orientation Distributions Using an Ensemble of Neural Networks 修正:基于邻域纤维取向分布的白质纤维的监督分类,使用神经网络集合
Computational diffusion MRI : MICCAI Workshop Pub Date : 2019-10-13 DOI: 10.1007/978-3-030-05831-9_31
Devran Ugurlu, Z. Firat, U. Türe, Gozde Unal
{"title":"Correction to: Supervised Classification of White Matter Fibers Based on Neighborhood Fiber Orientation Distributions Using an Ensemble of Neural Networks","authors":"Devran Ugurlu, Z. Firat, U. Türe, Gozde Unal","doi":"10.1007/978-3-030-05831-9_31","DOIUrl":"https://doi.org/10.1007/978-3-030-05831-9_31","url":null,"abstract":"","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81068980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Return-to-Axis Probability Calculation from Single-Shell Acquisitions 从单壳收购返回轴概率计算
Computational diffusion MRI : MICCAI Workshop Pub Date : 2019-10-13 DOI: 10.1007/978-3-030-05831-9_3
S. Aja‐Fernández, A. Tristán-Vega, Malwina Molendowska, Tomasz Pieciak, R. Luis-García
{"title":"Return-to-Axis Probability Calculation from Single-Shell Acquisitions","authors":"S. Aja‐Fernández, A. Tristán-Vega, Malwina Molendowska, Tomasz Pieciak, R. Luis-García","doi":"10.1007/978-3-030-05831-9_3","DOIUrl":"https://doi.org/10.1007/978-3-030-05831-9_3","url":null,"abstract":"","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85774173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
q-Space Learning with Synthesized Training Data 基于综合训练数据的q空间学习
Computational diffusion MRI : MICCAI Workshop Pub Date : 2019-10-13 DOI: 10.1007/978-3-030-05831-9_10
Chuyang Ye, Yue Cui, Xiuli Li
{"title":"q-Space Learning with Synthesized Training Data","authors":"Chuyang Ye, Yue Cui, Xiuli Li","doi":"10.1007/978-3-030-05831-9_10","DOIUrl":"https://doi.org/10.1007/978-3-030-05831-9_10","url":null,"abstract":"","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"PP 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85022362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Spatial Characterisation of Fibre Response Functions for Spherical Deconvolution in Multiple Sclerosis 多发性硬化症球面反褶积纤维响应函数的空间表征
Computational diffusion MRI : MICCAI Workshop Pub Date : 2019-10-13 DOI: 10.1007/978-3-030-05831-9_21
C. Tur, Francesco Grussu, F. Prados, S. Collorone, C. Wheeler-Kingshott, O. Ciccarelli
{"title":"Spatial Characterisation of Fibre Response Functions for Spherical Deconvolution in Multiple Sclerosis","authors":"C. Tur, Francesco Grussu, F. Prados, S. Collorone, C. Wheeler-Kingshott, O. Ciccarelli","doi":"10.1007/978-3-030-05831-9_21","DOIUrl":"https://doi.org/10.1007/978-3-030-05831-9_21","url":null,"abstract":"","PeriodicalId":72661,"journal":{"name":"Computational diffusion MRI : MICCAI Workshop","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82904938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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