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A framework for automatic landmark identification using a new method of nonrigid correspondence

A. Hill, C.J. Taylor, A.D. Brett
2000 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The auto-landmarking framework employs a binary tree of corresponded pairs of shapes to generate landmarks automatically on each of a set of example shapes.  ...  AbstractÐA framework for automatic landmark indentification is presented based on an algorithm for corresponding the boundaries of two shapes.  ...  The corresponder has been used within a framework for generating landmarks automatically for a set of example shapes. The framework uses a binary tree of matched pairs of shapes.  ... 
doi:10.1109/34.841756 fatcat:2oyrmswlorhdjcaojoqw2p6abe

Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling

A.F. Frangi, D. Rueckert, J.A. Schnabel, W.J. Niessen
2002 IEEE Transactions on Medical Imaging  
A novel method is introduced for the generation of landmarks for three-dimensional (3-D) shapes and the construction of the corresponding 3-D statistical shape models.  ...  propagation of these landmarks to each example shape via a volumetric nonrigid registration technique using multiresolution B-spline deformations.  ...  Manning, codirector of the Cardiac MR Center at the Beth Israel Deaconess Medical Center in Boston, MA, for kindly providing them with the functional cardiac MR data.  ... 
doi:10.1109/tmi.2002.804426 pmid:12564883 fatcat:spq3fcg25rfgtozxga3vfpy7ju

Brain Functional Localization: A Survey of Image Registration Techniques

Ali Gholipour, Nasser Kehtarnavaz, Richard Briggs, Michael Devous, Kaundinya Gopinath
2007 IEEE Transactions on Medical Imaging  
Cortical surface registration and automatic brain labeling are some of the other tools towards establishing a fully automatic functional localization procedure.  ...  techniques are introduced in the literature for the purpose of mapping functional activity into an anatomical image or a brain atlas.  ...  Except for the transformation model, the key developments in the components of a registration algorithm (correspondence basis, optimization framework, and interpolation method) have occurred for studies  ... 
doi:10.1109/tmi.2007.892508 pmid:17427731 fatcat:uktzooy7uzapzoi3oqogwvevge

A learning based fiducial-driven registration scheme for evaluating laser ablation changes in neurological disorders

Tao Wan, B. Nicolas Bloch, Shabbar Danish, Anant Madabhushi
2014 Neurocomputing  
Moreover, we employ the LeFiR scheme to model the localized nature of deformation introduced by a new treatment modalitylaser induced interstitial thermal therapy (LITT) for treating neurological disorders  ...  The estimated landmarks greatly improved the quality metrics compared to a uniform grid (UniG) placement scheme, a speeded-up robust features (SURF) based method, and a scale-invariant feature transform  ...  and Bioengineering of the National Institutes of Health under award number R43EB015199-01; the National Science Foundation under award number IIP-1248316; the QED award from the University City Science  ... 
doi:10.1016/j.neucom.2013.11.051 pmid:25225455 pmcid:PMC4161988 fatcat:sdmptayhunfyfbpymgguhyfeoe

Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration

D. Rueckert, A.F. Frangi, J.A. Schnabel
2003 IEEE Transactions on Medical Imaging  
The correspondences obtained by the nonrigid registration are evaluated using anatomical landmark locations and show an average error of 1.40 mm at these anatomical landmark positions.  ...  Instead, a nonrigid registration algorithm based on free-form deformations and normalized mutual information is used to compute the deformations required to establish dense correspondences between the  ...  ACKNOWLEDGMENT The authors would like to thank the Department of Psychiatry, University Medical Center, Utrecht, The Netherlands, for providing the image data and the manual segmentations of the nucleus  ... 
doi:10.1109/tmi.2003.815865 pmid:12906255 fatcat:6uskjnssofdzrkhiv2vrbn64ym

Toward Pose-Invariant 2-D Face Recognition Through Point Distribution Models and Facial Symmetry

Daniel Gonzalez-Jimenez, Jose Luis Alba-Castro
2007 IEEE Transactions on Information Forensics and Security  
Instead, the virtual faces are fed into a system that makes use of Gabor filtering for recognition.  ...  Also, the CMU PIE database is used to assess the performance of the proposed methods in an identification scenario where large pose variations are present, achieving state-of-the-art results and outperforming  ...  Gross for their great support regarding the CMU PIE database, the FGnet project for providing very useful annotations of face images, and the reviewers for helpful comments that improved the quality of  ... 
doi:10.1109/tifs.2007.903543 fatcat:xg5hlfwg2je5ni2x4ex33jtzdy

Deformation Modeling for Robust 3D Face Matching

Xiaoguang Lu, A.K. Jain
2008 IEEE Transactions on Pattern Analysis and Machine Intelligence  
A hierarchical geodesic-based resampling approach is applied to extract landmarks for modeling facial surface deformations.  ...  A fully automatic and prototypic deformable model based 3D face matching system has been developed.  ...  The authors wish to thank the anonymous reviewers for useful suggestions and all the volunteers who provided the face data.  ... 
doi:10.1109/tpami.2007.70784 pmid:18566490 fatcat:yjrcwvttmzbkleloacyp26beti

A novel point-based nonrigid image registration scheme based on learning optimal landmark configurations

Tao Wan, B. Nicolas Bloch, Shabbar Danish, Anant Madabhushi, Sebastien Ourselin, David R. Haynor
2013 Medical Imaging 2013: Image Processing  
An important landmark configuration that will be used as a training landmark set was learned for an image pair with a known deformation.  ...  A new landmark configuration was determined by simply transforming the training landmarks to the current displacement location while preserving the topological structure of the configuration of landmarks  ...  ACKNOWLEDGMENTS This work was made possible by grants from the National Institute of Health (R01CA136535, R01CA140772, R43EB015199, R21CA167811), National Science Foundation (IIP-1248316), and the QED  ... 
doi:10.1117/12.2007153 dblp:conf/miip/WanBDM13 fatcat:dimh4eoyqbgitcf3jg7aoze6nq

A Data-Augmented 3D Morphable Model of the Ear

Hang Dai, Nick Pears, William Smith
2018 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)  
We use this new 3DMM model-booting algorithm to generate a refined 3D morphable model of the human ear, and we make this new model and our augmented training dataset public.  ...  Here we present an iterative process of refinement for a 3D Morphable Model (3DMM) of the human ear that employs data augmentation.  ...  Acknowledgements: We thank Google Faculty Awards for their support.  ... 
doi:10.1109/fg.2018.00065 dblp:conf/fgr/DaiPS18 fatcat:pirrghfbenb4jai23mrgrf647q

Development of a Scheme and Tools to Construct a Standard Moth Brain for Neural Network Simulations

Hidetoshi Ikeno, Tomoki Kazawa, Shigehiro Namiki, Daisuke Miyamoto, Yohei Sato, Stephan Shuichi Haupt, Ikuko Nishikawa, Ryohei Kanzaki
2012 Computational Intelligence and Neuroscience  
Standard brains are used to consolidate experimental results and generate new insights through integration.  ...  We focus on a unique behavior of the silkmoth to investigate neural mechanisms of sensory processing and behavioral control.  ...  ), and Tomoaki Mori (the University of Tokyo) for development of the software and registration works.  ... 
doi:10.1155/2012/795291 pmid:22952471 pmcid:PMC3431043 fatcat:2bl5tlkrzzclxpyfgcuu3agt74

Dense Semantic and Topological Correspondence of 3D Faces without Landmarks [chapter]

Zhenfeng Fan, Xiyuan Hu, Chen Chen, Silong Peng
2018 Lecture Notes in Computer Science  
We propose a general framework for dense correspondence of 3D faces without landmarks in this paper.  ...  Many previous literatures use landmarks to guide the correspondence of 3D faces.  ...  We propose a fully automatic framework to achieve the semantic and topological correspondence goals for 3D faces. A template warping strategy is adopted here.  ... 
doi:10.1007/978-3-030-01270-0_32 fatcat:fpjyzcr6zzbrfiht5rtl4u452e

Statistical shape model generation using nonrigid deformation of a template mesh

Geremy Heitz, Torsten Rohlfing, Calvin R. Maurer, Jr., J. Michael Fitzpatrick, Joseph M. Reinhardt
2005 Medical Imaging 2005: Image Processing  
This process results in automatic segmentation of each shape, but more importantly also provides an automatic correspondence between the points on each shape.  ...  The appropriate transformation is determined by intensity-based nonrigid registration of the corresponding grayscale images.  ...  On top of the requirement that these landmarks accurately represent the underlying shape, such a method also requires the identification of correspondences between these points across every image in the  ... 
doi:10.1117/12.594802 dblp:conf/miip/HeitzRM05 fatcat:5e3jbxmpyfap3nfxx3oidecmua

A novel flexible framework with automatic feature correspondence optimization for nonrigid registration in radiotherapy

Eliana M. Vásquez Osorio, Mischa S. Hoogeman, Luiza Bondar, Peter C. Levendag, Ben J. M. Heijmen
2009 Medical Physics (Lancaster)  
This paper describes the design, the implementation and the validation of a new framework for non-rigid registration for radiotherapy applications.  ...  The improved method allows for coherent organ registration and for the inclusion of user defined landmarks, lines and surfaces inside and outside of structures of interest.  ...  The identification of these anatomical landmarks depends on the observer's interpretation and on image quality. The uncertainty in the location of the landmarks is a possible source of error.  ... 
doi:10.1118/1.3134242 pmid:19673184 fatcat:oigpoctd45eela6l6paqgiivem

Automatic Classification of Left Ventricular Regional Wall Motion Abnormalities in Echocardiography Images Using Nonrigid Image Registration

Ahmad Shalbaf, Hamid Behnam, Zahra Alizade-Sani, Maryam Shojaifard
2013 Journal of digital imaging  
This paper presents a new automatic technique, based on nonrigid image registration for classifying the RWM of LV in a three-point scale.  ...  Finally, a new regional quantitative index based on resultant parameters of the hierarchical transformation model is proposed for classifying RWM in a threepoint scale.  ...  In this paper, we attempt to overcome the underlying problems by proposing a new automatic method, based on nonrigid image registration, for detection and classification of RWM abnormalities of LV.  ... 
doi:10.1007/s10278-012-9543-x pmid:23359089 pmcid:PMC3782595 fatcat:eviun6khhvhfpkr7mbpaxpooki

Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study [chapter]

Benedetta Biffi, Maria A. Zuluaga, Sébastien Ourselin, Andrew M. Taylor, Silvia Schievano
2016 Lecture Notes in Computer Science  
In this paper, we apply an atlas-based segmentation method for the automatic extraction of papillary muscles from MRI.  ...  The registration of these two modalities, within the context of cardiac imaging, is a challenging task that requires manual intervention or the use of anatomical landmarks that can drive the registration  ...  Despite the popularity of atlas-based methods in the segmentation of the heart [10, 7] , none of the existing works have tried to use this type of framework for the segmentation of the PM.  ... 
doi:10.1007/978-3-319-28712-6_9 fatcat:nksfdybtojaqrbbkh42w3hzrwm
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