Filters








62 Hits in 9.4 sec

Maximum Likelihood Motion Estimation in 3D Echocardiography through Non-rigid Registration in Spherical Coordinates [chapter]

Andriy Myronenko, Xubo Song, David J. Sahn
2009 Lecture Notes in Computer Science  
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]

Allen Lu, Nripesh Parajuli, Maria Zontak, John Stendahl, Kevinminh Ta, Zhao Liu, Nabil Boutagy, Geng-Shi Jeng, Imran Alkhalil, Lawrence H. Staib, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan
2018 arXiv   pre-print
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

E. Bonet-Carne, V. Tenorio, F. Figueras, E. Gratacos, I. Amat-Roldan
2011 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
.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

Mathieu De Craene, Gemma Piella, Oscar Camara, Nicolas Duchateau, Etelvino Silva, Adelina Doltra, Jan D'hooge, Josep Brugada, Marta Sitges, Alejandro F. Frangi
2012 Medical Image Analysis  
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

Fredrik Orderud, Hans Torp, Stein Inge Rabben, Stephen A. McAleavey, Jan D'hooge
2009 Medical Imaging 2009: Ultrasonic Imaging and Signal Processing  
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

Peng Peng, Karim Lekadir, Ali Gooya, Ling Shao, Steffen E. Petersen, Alejandro F. Frangi
2016 Magnetic Resonance Materials in Physics, Biology and Medicine  
[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  
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  
'', 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]

Masoud S. Nosrati, Ghassan Hamarneh
2016 arXiv   pre-print
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

Shouvik Haldar, Habib R Khan, Vennela Boyalla, Ines Kralj-Hans, Simon Jones, Joanne Lord, Oluchukwu Onyimadu, Anitha Sathishkumar, Toufan Bahrami, Jonathan Clague, Anthony De Souza, Darrel Francis (+17 others)
2021 Efficacy and Mechanism Evaluation  
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

Menashe Zaaroor, Alon Sinai, Dorit Goldsher, Ayelet Eran, Maria Nassar, Ilana Schlesinger, Jonathon Parker, Vinod Ravikumar, Pejman Ghanouni, Sherman Stein, Casey Halpern, Vibhor Krishna (+1008 others)
2016 Journal of Therapeutic Ultrasound  
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]

Leonardo Rundo
2021 arXiv   pre-print
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

Dong Ping Zhang, Daniel Rueckert, David Edwards
2011
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

Jerzy Dziewierz, Timothy Lardner, Anthony Gachagan
2013 2013 IEEE International Ultrasonics Symposium (IUS)  
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  
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
« Previous Showing results 1 — 15 out of 62 results