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Fast correspondences for statistical shape models of brain structures

Florian Bernard, Nikos Vlassis, Peter Gemmar, Andreas Husch, Johan Thunberg, Jorge Goncalves, Frank Hertel, Martin A. Styner, Elsa D. Angelini
2016 Medical Imaging 2016: Image Processing  
We demonstrate that for the generation of statistical shape models of deep brain structures, the proposed approach is preferable over existing population-based methods both in terms of a significantly  ...  Statistical shape models based on point distribution models are powerful tools for image segmentation or shape analysis.  ...  The authors would like to point out that most of this work was carried out when Nikos Vlassis was with LCSB, Luxembourg.  ... 
doi:10.1117/12.2206024 dblp:conf/miip/BernardVGHTGH16 fatcat:cn2t44dehvaktindz6dfbwiupi

A Unified Framework for Atlas Matching Using Active Appearance Models [chapter]

T. F. Cootes, C. Beeston, G. J. Edwards, C. J. Taylor
1999 Lecture Notes in Computer Science  
1 We propose to use statistical models of shape and texture as deformable anatomical atlases.  ...  In this paper we describe the models and the AAM algorithm and demonstrate the approach on structures in MR brain cross-sections.  ...  An Active Shape Model (ASM) is used to search for local image structure consistent with each of the landmarks, whilst constraining the configuration of landmarks using the statistical shape model.  ... 
doi:10.1007/3-540-48714-x_24 fatcat:mx32y3e2bvdpnbyfjhrmcw3c3q

A Generalized Learning Based Framework for Fast Brain Image Registration [chapter]

Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen
2010 Lecture Notes in Computer Science  
The key of our framework involves the utilization of a support vector regression (SVR) to learn the correlation between brain image appearances and their corresponding shape deformations to a template,  ...  Our framework consists of three major parts: 1) training of SVR models based on the statistics of image samples and their shape deformations to capture intrinsic image-deformation correlations, 2) deformation  ...  Statistical Deformation-Appearance Model for Sample Simulation A sufficiently large set of training samples, covering an adequate space of brain shape variation, is important for effective training of  ... 
doi:10.1007/978-3-642-15745-5_38 fatcat:v6oxd5wxwvc63g6ds6mpra2ywa

3D Brain Segmentation Using Active Appearance Models and Local Regressors [chapter]

Kolawole O. Babalola, Tim F. Cootes, Carole J. Twining, Vlad Petrovic, Chris Taylor
2008 Lecture Notes in Computer Science  
We then refine the shape and position of each structure using a set of individual AAMs trained for each.  ...  We describe an efficient and accurate method for segmenting sets of subcortical structures in 3D MR images of the brain.  ...  David Kennedy of the Center for Morphometric Analysis, Boston, provided the MR images used.  ... 
doi:10.1007/978-3-540-85988-8_48 fatcat:eh3c6gstffdodajaqrkjnnzriu

Learning-based deformation estimation for fast non-rigid registration

Min-Jeong Kim, Myoung-Hee Kim, Dinggang Shen
2008 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
Then, the constructed statistical model is used to generate a large number of sample deformation fields by resampling in the PCA space.  ...  This paper presents a learning-based deformation estimation method for fast non-rigid registration.  ...  However, for brain image registration, due to the complex of brain structures as well as the large variation of brain structures across different individuals, local minimum is a critical problem in brain  ... 
doi:10.1109/cvprw.2008.4563006 pmid:20651935 pmcid:PMC2907542 dblp:conf/cvpr/KimKS08 fatcat:djcw5n5jc5f5tc6qyboumnpcyu

Statistical Study on Cortical Sulci of Human Brains [chapter]

Xiaodong Tao, Xiao Han, Maryam E. Rettmann, Jerry L. Prince, Christos Davatzikos
2001 Lecture Notes in Computer Science  
A method for building a statistical shape model of sulci of the human brain cortex is described. The model includes sulcal fundi that are defined on a spherical map of the cortex.  ...  Statistical information of local properties of the sulci, such as curvature and depth, are embedded in the model. Experimental results are presented to show how the models are built.  ...  The authors would like to acknowledge the Baltimore Longitudinal Study of Aging which provided the datasets.  ... 
doi:10.1007/3-540-45729-1_51 fatcat:syaqoqwd75fvxf2mjgizucu37q

3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models [chapter]

Shaoting Zhang, Junzhou Huang, Mustafa Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora Volkow, Panayotis Thanos, Dimitris N. Metaxas
2011 Lecture Notes in Computer Science  
However, the segmentation performance of this model depends on the position, size and shape of the initialization, especially for data with complex texture.  ...  Object boundary extraction is an important task in brain image analysis. Acquiring detailed 3D representations of the brain structures could improve the detection rate of diseases at earlier stages.  ...  In this study, we propose an approach that will provide fast and accurate 3D segmentation of brain regions based on MR images of the rodent brain.  ... 
doi:10.1007/978-3-642-23626-6_75 fatcat:o6sd2vzgz5fvnntvnvli7sd55e

3D segmentation of rodent brain structures using Active Volume Model with shape priors

Shaoting Zhang, Junzhou Huang, Mustafa Uzunbas, Tian Shen, Foteini Delis, Xiaolei Huang, Nora Volkow, Panayotis Thanos, Dimitris Metaxas
2011 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
However, the segmentation performance of this model depends on the position, size and shape of the initialization, especially for data with complex texture.  ...  Object boundary extraction is an important task in brain image analysis. Acquiring detailed 3D representations of the brain structures could improve the detection rate of diseases at earlier stages.  ...  In this study, we propose an approach that will provide fast and accurate 3D segmentation of brain regions based on MR images of the rodent brain.  ... 
doi:10.1109/isbi.2011.5872439 dblp:conf/isbi/ZhangHUSDHVTM11 fatcat:a6zwm4bkgjepzivgyscrltuz7m

A joint physics-based statistical deformable model for multimodal brain image analysis

C. Nikou, G. Bueno, F. Heitz, J.-P. Armspach
2001 IEEE Transactions on Medical Imaging  
A probabilistic deformable model for the representation of multiple brain structures is described.  ...  Index Terms-Brain isolation, image registration, magnetic resonance imaging (MRI), physically based deformable model, single photon emission computed tomography (SPECT), statistical shape models.  ...  Manual point-to-point correspondence [12] becomes tedious or even unfeasible for 3-D shapes.  ... 
doi:10.1109/42.959300 pmid:11686438 fatcat:hbmlfu5seffgphmo5vt624h7jy

Parameterization of 3D brain structures for statistical shape analysis

Litao Zhu, Tianzi Jiang, J. Michael Fitzpatrick, Milan Sonka
2004 Medical Imaging 2004: Image Processing  
Statistical Shape Analysis (SSA) is a powerful tool for noninvasive studies of pathophysiology and diagnosis of brain diseases.  ...  It also provides a shape constraint for the segmentation of brain structures. There are two key problems in SSA: the representation of shapes and their alignments.  ...  At the same time, Statistical Shape Analysis also provides a shape constraint for the segmentation of brain structures, such as Active Shape Model (ASM) and Active Appearance Model (AAM) introduced by  ... 
doi:10.1117/12.534946 dblp:conf/miip/ZhuJ04 fatcat:jfnkrr3uirg3pl7kkv2jxofsla

Front Matter: Volume 9784

2016 Medical Imaging 2016: Image Processing  
correspondences [9784-25] 9784 0R Fast correspondences for statistical shape models of brain structures [9784-26] 9784 0S Robust group-wise rigid registration of point sets using t-mixture model [9784  ...  [9784-21] 9784 0N A novel structured dictionary for fast processing of 3D medical images, with application to computed tomography restoration and denoising [9784-22] SESSION 6 SHAPE 9784 0P Landmark based  ...  -109] 9784 33 Multi-level approach for statistical appearance models with probabilistic correspondences [9784-110] 9784 34 Shape complexes in continuous max-flow segmentation [9784-111] 9784 35  ... 
doi:10.1117/12.2240619 fatcat:kot6cogf4rf6dcjhkzdrr5gahi

Higher fasting plasma glucose is associated with striatal and hippocampal shape differences: the 2sweet project

Tianqi Zhang, Marnie Shaw, Jacob Humphries, Perminder Sachdev, Kaarin J Anstey, Nicolas Cherbuin
2016 BMJ Open Diabetes Research & Care  
glucose data, MRI scan, and absence of gross brain abnormalities and cognitive impairment.  ...  Conclusions: These findings further emphasize the importance of early monitoring and management of plasma glucose levels, even within the normal range, as a risk factor for cerebral atrophy.  ...  Indeed, to investigate this point, we conducted volumetric analyses using similar statistical models and found that, whereas significant localized differences were identified for most structures and most  ... 
doi:10.1136/bmjdrc-2015-000175 pmid:27252872 pmcid:PMC4885274 fatcat:cyjyn44zanc2zfkm7yokumsrxu

Shape differences of the brain ventricles in Alzheimer's disease

Luca Ferrarini, Walter M. Palm, Hans Olofsen, Mark A. van Buchem, Johan H.C. Reiber, Faiza Admiraal-Behloul
2006 NeuroImage  
Any change of volume or shape occurring in these structures must affect the volume and shape of the ventricles.  ...  In this work, we captured the ventricle's shape and shape variations of 29 AD subjects and 25 age-matched controls, using a fully automatic shape modeling technique.  ...  Acknowledgments This work was supported by the Technology Foundation STW, applied science division of NWO and the technology program of the Ministry of Economic Affairs, and by Medis medical imaging systems  ... 
doi:10.1016/j.neuroimage.2006.05.048 pmid:16839779 fatcat:etaptodyinadxgbcmb6kbuecyy

The need for improved brain lesion segmentation techniques for children with cerebral palsy: A review

Alex M. Pagnozzi, Yaniv Gal, Roslyn N. Boyd, Simona Fiori, Jurgen Fripp, Stephen Rose, Nicholas Dowson
2015 International Journal of Developmental Neuroscience  
We also identify several cortical shape parameters that could be used to identify cortical injury, and shape modelling approaches to identify anatomical injury.  ...  The need for improved brain lesion segmentation techniques for children with cerebral palsy: a review.International Journal of Developmental Neuroscience http://dx.  ...  No other authors have potential conflicts of interest to declare.  ... 
doi:10.1016/j.ijdevneu.2015.08.004 pmid:26394278 fatcat:bphc4r2blbenhecjydluue3j5a

Statistical model for diffusion attenuated MR signal

Dmitriy A. Yablonskiy, G. Larry Bretthorst, Joseph J.H. Ackerman
2003 Magnetic Resonance in Medicine  
A general statistical model that can describe a rather large number of experimental results related to the structure of the diffusion-attenuated MR signal in biological systems is introduced.  ...  A substantial distribution width, on the order of 36% of the ADC, was found for practically all brain regions examined.  ...  Tanoli for helpful discussion.  ... 
doi:10.1002/mrm.10578 pmid:14523949 pmcid:PMC2140254 fatcat:cinidu5rdbgmlffz77n43ahn3e
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