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3D/4D Cardiac Segmentation Using Active Appearance Models, Non-rigid Registration, and the Insight Toolkit
[chapter]
<span title="">2004</span>
<i title="Springer Berlin Heidelberg">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
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We describe the design of a statistical atlas-based 3D/4D cardiac segmentation system using a combination of active appearance models (AAM) and statistical deformation models with the Insight Toolkit as ...
We conclude that the combination of a non-rigid registration step with the statistical analysis concepts of the AAM is both feasible and useful and allows for its application to 3D and 4D data. ...
To validate our ideas, we implemented a segmentation system based on the Insight Segmentation and Registration Toolkit (ITK) [11] and applied it in 3D and 4D for the segmentation of the left ventricular ...
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Simulation of Ground-Truth Validation Data Via Physically- and Statistically-Based Warps
[chapter]
<span title="">2008</span>
<i title="Springer Berlin Heidelberg">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
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server-side computations, generate and download an arbitrary number of novel ground-truth data, including segmentations, displacement vector fields, intensity nonuniformity maps, and point correspondences ...
The problem of scarcity of ground-truth expert delineations of medical image data is a serious one that impedes the training and validation of medical image analysis techniques. ...
Acknowledgements We thank Parisa Shooshtari and Omer Ishaq for assistance in code development, James Peltier for assistance in setting up the web server, and NSERC for funding. ...
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Appearance-Based Segmentation of Medial Temporal Lobe Structures
<span title="">2002</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a>
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of 3D deformation vector fields. ...
The strategy employed for segmentation aims at synthesizing, using the appearance model, a deformation field that maps a new volume onto a reference target. ...
ACKNOWLEDGMENTS This study was supported by Fonds pour les Chercheurs et l'Aide à la Recherche (Government of Québec) and ICBM. ...
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Appearance-Based Segmentation of Medial Temporal Lobe Structures
<span title="">2002</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a>
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of 3D deformation vector fields. ...
The strategy employed for segmentation aims at synthesizing, using the appearance model, a deformation field that maps a new volume onto a reference target. ...
ACKNOWLEDGMENTS This study was supported by Fonds pour les Chercheurs et l'Aide à la Recherche (Government of Québec) and ICBM. ...
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Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning
<span title="2014-06-30">2014</span>
<i title="Wiley">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4xxxfsh2pjc4nhsa3qijpqv6zy" style="color: black;">Medical Physics (Lancaster)</a>
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Guo et al.: Deformable segmentation of prostate MRI via DDD learning 072303-2 Conclusions: A new magnetic resonance image prostate segmentation method is proposed based on the combination of deformable ...
of shape variation and regularize the 3D mesh deformation by constraining it within the observed shape subspace. ...
METHOD Our method aims to robustly segment the prostate gland in 3D T2-weighted MRI images by using both appearance and sparse shape models to drive a deformable model for segmentation. ...
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Automatic Labeling of Anatomical Structures in MR FastView Images Using a Statistical Atlas
[chapter]
<span title="">2008</span>
<i title="Springer Berlin Heidelberg">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
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It is generated by non-rigid registration and principal component analysis of the resulting deformation fields and registered images. ...
In our implementation, the statistical models of deformation and appearance are both implemented on the GPU (graphics processing unit), which permits computing the atlas based labeling using GPU hardware ...
Rueckert proposed statistical analysis of the using non-rigid deformation fields for the creation of a statistical atlas [9] of the brain. ...
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Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests
<span title="">2016</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhnt2pif75h2bmnnmdg7m6nlc4" style="color: black;">IEEE Transactions on Medical Imaging</a>
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Specifically, we learn a displacement regressor, which predicts 3D displacement from any image voxel to the target organ boundary based on the local patch appearance. ...
However, accurate segmentation of male pelvic organs is challenging due to low tissue contrast of CT images, as well as large variations of shape and appearance of the pelvic organs. ...
Regression-based Hierarchical Deformation Given a 3D displacement field estimated by multi-task random forest with auto-context, we can use it to guide a deformable model for organ segmentation. ...
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<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26800531">pmid:26800531</a>
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Validation of continuously tagged MRI for the measurement of dynamic 3D skeletal muscle tissue deformation
<span title="2012-03-12">2012</span>
<i title="Wiley">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4xxxfsh2pjc4nhsa3qijpqv6zy" style="color: black;">Medical Physics (Lancaster)</a>
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<span title="2016-04-20">2016</span>
<span class="release-stage" >pre-print</span>
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1604.05998v1">arXiv:1604.05998v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tk7q4j4m6fau3mlgkb2c4k3cym">fatcat:tk7q4j4m6fau3mlgkb2c4k3cym</a> </span>
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1604.05998v1">arXiv:1604.05998v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tk7q4j4m6fau3mlgkb2c4k3cym">fatcat:tk7q4j4m6fau3mlgkb2c4k3cym</a> </span>
A SPAMM tagged MRI methodology is presented allowing continuous (3.3-3.6 Hz) sampling of 3D dynamic soft tissue deformation using non-segmented 3D acquisitions. ...
In addition a fully automatic post-processing framework is presented employing Gabor scale-space and filter-bank analysis for tag extrema segmentation and triangulated surface fitting aided by Gabor filter ...
The financial support agencies were not involved in designing and conducting this study, did not have access to the data, and were not involved in data analysis and/or preparation of this manuscript. ...
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Analysis of free breathing motion using artifact reduced 4D CT image data
<span title="2007-03-08">2007</span>
<i title="SPIE">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ha25cznnjncxtjoykhsg6fz5ly" style="color: black;">Medical Imaging 2007: Image Processing</a>
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Estimated 3D appearance probabilities visualize the movement of the tumor during the respiratory cycle in one static image. ...
We present methods for the analysis of respiratory motion using 4D CT data in high temporal resolution. ...
Moreover, 3D appearance probabilities of the tumor can be computed. ...
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A Novel NMF Guided Level-set for DWI Prostate Segmentation
<span title="">2014</span>
<i title="OMICS Publishing Group">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cfj7yw2qavhc5f35je6wes764m" style="color: black;">Journal of computer science and systems biology</a>
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Objective: To develop an automated 3D framework for prostate segmentation from diffusion-weighted imaging (DWI). ...
The shape model is constructed using a set of training prostate volumes and is then updated during the segmentation process using an appearance-based method that takes into account both a voxel's location ...
Geometric deformable models based on level-sets are commonly used techniques for object segmentation from medical imaging. ...
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Automated 2D Segmentation of Prostate in T2-weighted MRI Scans
<span title="2016-12-02">2016</span>
<i title="Agora University of Oradea">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/do4a7az725gcpbh4iwwih3j7aa" style="color: black;">International Journal of Computers Communications & Control</a>
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The problem of automated prostate magnetic resonance (MR) image segmentation is burdened by the fact that MRI signal intensity is not standardized: field of view and image appearance is for a large part ...
With the aim to automating the biopsy localization, prostate segmentation has to be performed in magnetic resonance images. Computer image analysis methods play the key role here. ...
Utwente
75.23
S
Active appearance models based segmentation
Cimalab
74.68
A
Atlas-based segmentation that selects the most similar templates
using multi-scale SURF analysis and applies linear ...
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A statistical atlas-based technique for automatic segmentation of the first Heschl's gyrus in human auditory cortex from MR images
<span title="">2008</span>
<i title="IEEE">
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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We present an automatic method for the segmentation of the first transverse temporal gyrus of Heschl (HG), the morphological marker for primary auditory cortex in humans. ...
We assessed the accuracy of this atlas-based technique by using it to segment the HG region from several test cases and finding the overlap between the segmented and labeled HG regions. ...
Figure 2 depicts the procedure for the vectorization of the 3D deformation field. ...
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Enhanced 3D Myocardial Strain Estimation from Multi-View 2D CMR Imaging
[article]
<span title="2020-11-30">2020</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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Additionally, we correct for overestimation of displacement by introducing a weighting scheme that is based on displacement along the long axis. ...
We then create a series of interpolating functions for the three orthogonal directions of motion and use them to deform a tetrahedral mesh representation of a patient-specific left ventricle. ...
Funding Statement This work is based on the master thesis of the first author Mohamed Abdelkhalek, published in university archives on May 2019 (Abdelkhalek et al., 2019) . ...
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Automated Segmentation and Geometrical Modeling of the Tricuspid Aortic Valve in 3D Echocardiographic Images
[chapter]
<span title="">2013</span>
<i title="Springer Berlin Heidelberg">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
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The method makes use of expert knowledge of aortic leaflet image appearance, generates segmentations with consistent topology, and establishes a shape-based coordinate system on the aortic leaflets that ...
Given the importance of imagebased morphological assessment in the diagnosis and surgical treatment of aortic valve disease, there is considerable need to develop a standardized framework for 3D valve ...
This research was supported by an American Heart Association pre-doctoral fellowship (10PRE3510014) and the National Institutes of Health: HL063954, HL073021, and HL103723 from the NHLBI; AG037376 from ...
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3D Segmentation of Rodent Brain Structures Using Hierarchical Shape Priors and Deformable Models
[chapter]
<span title="">2011</span>
<i title="Springer Berlin Heidelberg">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a>
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Deformable model based segmentation methods have been widely used with considerable success. ...
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. ...
The model has not only boundary shape but also interior appearance, making it more robust in segmentation. Efforts have been made on the integration of interior appearance into 3D models. ...
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