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Maximum Likelihood Motion Estimation in 3D Echocardiography through Non-rigid Registration in Spherical Coordinates
[chapter]
2009
Lecture Notes in Computer Science
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Second, we use envelope-detected 3D echo images in the raw spherical coordinates format, which preserves speckle statistics and represents a compromise between signal detail and data complexity. ...
We present a method for 3D cardiac motion tracking using nonrigid image registration. Our contribution is two-fold. ...
Maximum likelihood approach: Registration of 3D echocardiogram has several specifics compared to general non-rigid registration techniques, which can be taken into account using the ML approach. ...
doi:10.1007/978-3-642-01932-6_46
fatcat:cgb6fsdjnrcopekgegincqtyr4
Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation
[article]
2018
arXiv
pre-print
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Reliable motion estimation and strain analysis using 3D+time echocardiography (4DE) for localization and characterization of myocardial injury is valuable for early detection and targeted interventions ...
However, motion estimation is difficult due to the low-SNR that stems from the inherent image properties of 4DE, and intelligent regularization is critical for producing reliable motion estimates. ...
Albert Sinusas' lab group who were involved in the image acquisition process. This work was supported in part by the National Institute of Health (NIH) grant numbers R01HL121226 and T32HL098069. ...
arXiv:1807.04807v1
fatcat:xnruoyjxbncstattgwbbpj76oy
Evaluation of semiautomated quantification of cranial ultrasound images in newborns as a predictor of Neonatal Behavioral Assessment Scale
2011
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
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.8: A MODEL OF TUMOUR INDUCED BRAIN DEFORMATION AS ...................................578 BIO-PHYSICAL PRIOR FOR NON-RIGID IMAGE REGISTRATION Andreas Mang, Stefan Becker, Alina Toma, Tina Anne Schuetz, ...
SELECTION AND PERFORMANCE ESTIMATION IN .................. FOR ......................... ...
doi:10.1109/isbi.2011.5872350
dblp:conf/isbi/Bonet-CarneTFGA11
fatcat:hz26tx4dmzbbnefruo7eh5jrbm
Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography
2012
Medical Image Analysis
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Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography. Medical Image Analysis, Elsevier, 2012, 16 (2), pp. ...
The spatiotemporal displacement field is then recovered through forward Eulerian integration of the non-stationary velocity field. ...
However, in the case of an independent additive gaussian noise, motion estimation based on a maximum likelihood approach leads to the minimization of the MSE metric. ...
doi:10.1016/j.media.2011.10.006
pmid:22137545
fatcat:4tfs6t6n4jhzng3u3xahd2twka
Automatic alignment of standard views in 3D echocardiograms using real-time tracking
2009
Medical Imaging 2009: Ultrasonic Imaging and Signal Processing
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The ability of using non-iterative estimators, such as the Kalman filter, for fitting deformable models to image structures would radically reduce the computationally effort required for performing a 3D ...
The latest generation of echocardiography scanners are capable of acquiring dense image volumes in either real time, or over a few heart beats. ...
Acknowledgment: The authors would like to thank Brage Amundsen at the Norwegian University of Science and Technology for providing the 3D echocardiography datasets. ...
doi:10.1117/12.805380
fatcat:yyzsi6dvsrhclhmqjo5axjigqi
A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging
2016
Magnetic Resonance Materials in Physics, Biology and Medicine
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[148] employ a non-rigid registration method to assess myocardial contraction in both SAX and LAX slices. ...
EM finds the maximum likelihood (ML) or maximum a posteriori (MAP) estimates of parameters of a statistical model. ...
doi:10.1007/s10334-015-0521-4
pmid:26811173
pmcid:PMC4830888
fatcat:cceypmtjrfbyjjtpkktjk7m7fi
CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020
2020
International Journal of Computer Assisted Radiology and Surgery
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Preface Analogue and Digital CARS 2020 Congress The overarching purpose of the scholarly publication and communication process of IJCARS in the context of the CARS congress could be defined as: "To enable ...
In the times of COVID-19 overshadowing CARS 2020 and what the future may hold, a CARS meeting with these numbers of participants is not feasible anymore and new ways have to be explored to still fulfill ...
The work is supported by a grant-in-aid for scientific research on innovative areas, JSPS KAKENHI 17K17680. We thank Coordination for the Improvement of Higher Education Personnel (CAPES). ...
doi:10.1007/s11548-020-02171-6
pmid:32514840
fatcat:lyhdb2zfpjcqbf4mmbunddwroq
CARS 2016—Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition Heidelberg, Germany, June 21–25, 2016
2016
International Journal of Computer Assisted Radiology and Surgery
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'', and Amazon Inc., for providing valuable computing resources through an ''AWS in Education Research'' grant. ...
We would like to thank the Spanish company BQ for the donation of the 3D printing hardware for clinical use. ...
registration, 3) Nonrigid registration, and 4) Navigation. 1) Sulci recognition and 2) Preprocessing of non-rigid registration are processed preoperatively. 3) Non-rigid registration and 4) Navigation ...
doi:10.1007/s11548-016-1412-5
pmid:27206418
fatcat:uk5r46n2xvhedkfjzmeiweyneq
Incorporating prior knowledge in medical image segmentation: a survey
[article]
2016
arXiv
pre-print
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However, the existence of noise, low contrast and objects' complexity in medical images are critical obstacles that stand in the way of achieving an ideal segmentation system. ...
This paper surveys the different types of prior knowledge that have been utilized in different segmentation frameworks. ...
Their method simultaneously estimates the 3D pose of tissues in the pre-operative domain as well as their non-rigid deformations from their pre-operative state. ...
arXiv:1607.01092v1
fatcat:cq6ihf475ngtnbrebnr73qsa2m
Thoracoscopic surgical ablation versus catheter ablation as first-line treatment for long-standing persistent atrial fibrillation: the CASA-AF RCT
2021
Efficacy and Mechanism Evaluation
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Trial registration Current Controlled Trials ISRCTN18250790 and ClinicalTrials.gov NCT02755688. ...
Model-based economic analysis to estimate long-term benefits, harms and costs of surgical and catheter ablation compared with antiarrhythmic drug therapy in long-standing persistent atrial fibrillation ...
Variables used in the minimisation algorithm were sex (male or female), study site and left atrial diameter (< 50 and ≥ 50 mm). ...
doi:10.3310/eme08180
fatcat:gyotx4nb6jdnvazhekwymqe6m4
5th International Symposium on Focused Ultrasound
2016
Journal of Therapeutic Ultrasound
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Results MRgFUS thalamotomy resulted in significantly higher utility scores compared with DBS and SRS based on estimates of Medicare reimbursement (p < 0.001). ...
Our studies indicate that delivery of GDNF-BPN with FUS may provide a powerful, non-invasive and highly tailorable gene therapy approach to slow or stop the neurodegenerative process in PD. ...
to make a rigid body for registration. ...
doi:10.1186/s40349-016-0076-5
fatcat:4vm7i5mt6vheni3hflxd3pwl2i
Computer-Assisted Analysis of Biomedical Images
[article]
2021
arXiv
pre-print
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In reference to biomedical image analysis, the advances in image acquisition modalities and high-throughput imaging experiments are creating new challenges. ...
in mind the clinical feasibility of the developed solutions. ...
The registration is performed in two steps: (i) coarse alignment of the two images by a rigid registration; (ii) fine non-rigid registration, using a coordinate transformation that is parameterized by ...
arXiv:2106.04381v1
fatcat:osqiyd3sbja3zgrby7bf4eljfm
Coronary Artery Segmentation and Motion Modelling
2011
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Non-rigid registration framework based on a free-form deformation model and multi-level multi-channel large deformation diffeomorphic metric mapping are proposed to track the coronary motion. ...
This thesis mainly focus on designing segmentation and motion tracking methods of the coronary arteries in order to build pre-operative patient-specific motion models. ...
Coronary Motion Estimation Using Hierarchic
Non-rigid Image Registration In this section, we present a method for tracking the coronaries through estimating the cardiac motion, closely related to the ...
doi:10.25560/6367
fatcat:e4am5yko3zfxlonhn5dydnanye
A design methodology for 2D sparse NDE arrays using an efficient implementation of refracted-ray TFM
2013
2013 IEEE International Ultrasonics Symposium (IUS)
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Using this technology, the spatial patterning of cells can be controlled noninvasively through proper design of the ultrasound field. ...
These changes in collagen microstructure were produced using both ultrasound standing wave fields and traveling wave fields. ...
As a result, the 2D apodization function leading to 3D separable modulation must contain 4 distinct peaks. 2) 3D motion vectors were estimated using a phase-based motion estimator exploiting the phase ...
doi:10.1109/ultsym.2013.0035
fatcat:th5znfh7y5bklfdbmhb4u6iq2i
Track I
2014
Biomedical Engineering
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The inter-observer variability in cellularity estimation may be reduced by employing supervised machine learning methods on digital histopathological images. ...
Abstract The assessment of the cellularity in bone marrow is an essential step in diagnostic processes in pathology. ...
Acknowledgment: We thank Peter Erfurt, Hannover Medical School, Institute for Audioneurotechnology, for support in specimen and medium preparation. ...
doi:10.1515/bmt-2014-5008
pmid:25385893
fatcat:4o7vqkhdmfgk5fjzqpeh74x5te
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