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2020
IEEE Transactions on Medical Imaging
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Kitchen Automatic Registration Between Dental Cone-Beam CT and Scanned Surface via Deep Pose Regression Neural Networks and Clustered Similarities ...................................................... ...
Schnabel 4001 Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images ............................................................................... ...
doi:10.1109/tmi.2020.3037420
fatcat:qzotpzuburcnxf2keoqjbgvffa
An Application Independent Review of Multimodal 3D Registration Methods
2020
Computers & graphics
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The problem of 3D multimodal registration is explicitly defined and the various methods are systematically categorized and described in terms of a number of important properties. ...
Due to the large number of possible modality combinations and application fields, a considerable number of multimodal registration techniques have been proposed in diverse fields, including medicine and ...
views [29] or registering CT and cone-beam CT (CBCT) spine images which have different fields of view [30] ). ...
doi:10.1016/j.cag.2020.07.012
fatcat:ggb4esbyhrfzxhcequym5dariu
A combined local and global motion estimation and compensation method for cardiac CT
2014
Medical Imaging 2014: Physics of Medical Imaging
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With our method, the resolving potency of cone-beam CT images was improved. ...
Registration results are also evaluated based on the Dice similarity coefficient (DSC), mean absolute surface distances (MAD) and maximum absolute surface distances (MAXD) of the WG and CG in the prostate ...
Spectra are then automatically classified as one of seven cell-types in prostate tissue in a matter of seconds. ...
doi:10.1117/12.2043492
fatcat:fyzpc5m6jbh7fjohqpdmtzkhte
The Impact of Machine Learning on 2D/3D Registration for Image-guided Interventions: A Systematic Review and Perspective
[article]
2021
arXiv
pre-print
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A critical component of image guidance is 2D/3D registration, a technique to estimate the spatial relationships between 3D structures, e.g., volumetric imagery or tool models, and 2D images thereof, such ...
One reason these challenges persist today is that analytical solutions are likely inadequate considering the complexity, variability, and high-dimensionality of generic 2D/3D registration problems. ...
Acknowledgments The viewpoints presented in this manuscript have been shaped by several years of work on 2D/3D registration in the context of image-guided surgery at Johns Hopkins University. ...
arXiv:2108.02238v1
fatcat:fjazsnfg45b5jf4nanqw2pyohi
Quantitative Phase Imaging and Artificial Intelligence: A Review
[article]
2018
arXiv
pre-print
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Herein, we review the synergy between QPI and machine learning with a particular focus on deep learning. Further, we provide practical guidelines and perspectives for further development. ...
The fast and label-free nature of QPI enables the rapid generation of large-scale and uniform-quality imaging data in two, three, and four dimensions. ...
Deep neural networks have been proven to be capable of approximating virtually any arbitrary function if one properly allocates and adjusts the synaptic weight parameters between the computer-simulated ...
arXiv:1806.03982v2
fatcat:bt2h4c63gnalhhsbm4c6zyuhtu
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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A hybrid (analogue and digital) CARS 2020 has therefore been envisaged to take place at the University Hospital in Munich, with a balanced combination of analogue/personal and digital presentations and ...
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 ...
Conclusion This work attempts to provide and validate a self-sustained tool for the automatic performance assessment of virtual temporal bone dissection performed within a mastoidectomy surgical simulator ...
doi:10.1007/s11548-020-02171-6
pmid:32514840
fatcat:lyhdb2zfpjcqbf4mmbunddwroq
Appearance Learning for Image-based Motion Estimation in Tomography
2020
IEEE Transactions on Medical Imaging
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2020 pre-print arXiv:2006.10390v1 fatcat:stm5lio4krgsfnal2sbekzjasa
We train our network using 27 patients and deploy a 21- 4-2 split for training, validation and testing. ...
We propose an appearance learning approach recognizing the structures of rigid motion independently from the scanned object. ...
The output of the three networks is concatenated and fed to the regression network R t . ...
doi:10.1109/tmi.2020.3002695
pmid:32746114
fatcat:7qfp5ta57jff7a5t3byusaiz3i
CARS 2021: Computer Assisted Radiology and Surgery Proceedings of the 35th International Congress and Exhibition Munich, Germany, June 21–25, 2021
2021
International Journal of Computer Assisted Radiology and Surgery
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systems such as cone-beam CT and intraoperative MRI. ...
We found that -DICOM-data from cone beam CT showed less noise and artifacts compared to multislice CT data. ...
Artificial intelligence coronary calcium scoring in low dose chest CT-Ready to go? ...
doi:10.1007/s11548-021-02375-4
pmid:34085172
fatcat:6d564hsv2fbybkhw4wvc7uuxcy
The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective
2021
Frontiers in Robotics and AI
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A critical component of image guidance is 2D/3D registration, a technique to estimate the spatial relationships between 3D structures, e.g., preoperative volumetric imagery or models of surgical instruments ...
One reason these challenges persist today is that analytical solutions are likely inadequate considering the complexity, variability, and high-dimensionality of generic 2D/3D registration problems. ...
ACKNOWLEDGMENTS We gratefully acknowledge financial support from NIH NIBIB Trailblazer R21 EB028505, and internal funds of the Malone Center for Engineering in Healthcare at Johns Hopkins University. ...
doi:10.3389/frobt.2021.716007
pmid:34527706
pmcid:PMC8436154
fatcat:qphhvllqjndwpmca7he4xd7b3e
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. ...
References
Acknowledgments This work was supported by projects IPT-2012-0401-300000, TEC2013-48251-C2-1-R, DTS14/00192, PI15/02121, EU FP7 IRSES TAHITI (#269300) and FEDER funds. ...
boundaries between air and tagging and those between soft tissue and tagging) using either random forest (RF) [2] or deep convolutional neural network (DCNN) [3] classifiers. ...
doi:10.1007/s11548-016-1412-5
pmid:27206418
fatcat:uk5r46n2xvhedkfjzmeiweyneq
TU-B-I-617-01: High Field MRI - Technology, Applications, Safety, and Limitations
2005
Medical Physics (Lancaster)
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The force and velocity transformation ratios were computed and compared for similar poses. ...
Method and Materials: The platform for the extended view C-arm for Cone-beam CT is a Siemens PowerMobil. ...
Conclusion: Similarity based registration using CC or MI is feasible and effective even on raw US/CT images. ...
doi:10.1118/1.1999700
fatcat:yub56igoe5cl3cthdpzwrdvjp4
TU-EE-A3-05: Scatter Radiation in Digital Tomosynthesis
2005
Medical Physics (Lancaster)
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The force and velocity transformation ratios were computed and compared for similar poses. ...
Method and Materials: The platform for the extended view C-arm for Cone-beam CT is a Siemens PowerMobil. ...
Conclusion: Similarity based registration using CC or MI is feasible and effective even on raw US/CT images. ...
doi:10.1118/1.1998434
fatcat:jnqebvqstnhixdmecqmh35gfbi
SU-EE-A3-06: An Efficient Algorithm for Image-Based Dose Deformation and Accumulation
2005
Medical Physics (Lancaster)
Preserved Fulltext
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The force and velocity transformation ratios were computed and compared for similar poses. ...
Method and Materials: The platform for the extended view C-arm for Cone-beam CT is a Siemens PowerMobil. ...
Conclusion: Similarity based registration using CC or MI is feasible and effective even on raw US/CT images. ...
doi:10.1118/1.1997464
fatcat:zue2hfmc5ze6ziwu332w3u2lue
A review on personalized pediatric dosimetry applications using advanced computational tools
2019
IEEE Transactions on Radiation and Plasma Medical Sciences
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Pediatric patient-specific dosimetry of ionizing radiation is of great scientific and social interest. ...
The proposed study reviews the recent techniques applied in pediatric imaging and therapy applications for dosimetry purposes. ...
In their basic setup, these deep neural networks (DNNs) usually equipped with skip connections in a U-Net topology, are directly fed with the entire CT scan or relatively large subvolumes of it (rather ...
doi:10.1109/trpms.2018.2876562
fatcat:3rlnu7mltnf2pcj2z6ma5gfhku
2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70
2021
IEEE Transactions on Instrumentation and Measurement
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, and article number. ...
Article numbers are based on specified topic areas and corresponding codes associated with the publication. ...
., +, TIM 2021 5004815 Automatic Detection and Location of Weld Beads With Deep Convolutional Neural Networks. ...
doi:10.1109/tim.2022.3156705
fatcat:dmqderzenrcopoyipv3v4vh4ry
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