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Automatic Hybrid Segmentation of Dual Contrast Cardiac MR Data
[chapter]
2002
Lecture Notes in Computer Science
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for the homogeneity and the gradient energy functions that are computed dynamically, and 3) we extend the hybrid segmentation framework to allow forces from dual contrast and fuzzy connectedness data ...
In this paper, we present an algorithm for the automatic computation of the EF that is based on segmenting the left ventricle by combining the fuzzy connectedness and deformable model frameworks. ...
In this paper, we present a new hybrid approach for the automatic computation of the EF (ratio of the stroke volume to the diastolic volume) of the LV from dual contrast short axis cardiac MR data, that ...
doi:10.1007/3-540-45786-0_85
fatcat:nv6kpmyik5dkviqmagv22s6lba
Respiratory- and cardiac motion-corrected simultaneous whole-heart PET and dual phase coronary MR angiography
2018
Magnetic Resonance in Medicine
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Methods: An acquisition scheme based on a dual-phase CMRA sequence acquired simultaneously with cardiac PET data has been developed. ...
(respiratory motion correction for each cardiac phase) and the PET data (respiratory and cardiac motion correction). ...
PET data on a 3T hybrid PET-MR system as shown in Figure 1A . ...
doi:10.1002/mrm.27517
pmid:30320931
fatcat:ppgt3vxktbhqnkjpturpea74ee
Hybrid MPI-MRI System for Dual-Modal in situ Cardiovascular Assessments of Real-Time 3D Blood Flow Quantification - a Pre-Clinical in vivo Feasibility Investigation
2020
IEEE Transactions on Medical Imaging
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The used hybrid system allows for MR-based MPI Field-of-View planning and cardiac crosssectional anatomy analysis, precise co-registration of dualmodal datasets, as well as for MPI-based hemodynamic functional ...
We present a fast non-invasive and quantitative dual-modal in situ cardiovascular assessment using a hybrid imaging system which combines the new imaging modality Magnetic Particle Imaging (MPI) and MRI ...
For cardiac assessment shown in this contribution, the cardiac frequency was first derived automatically from the reconstructed 3D + t MPI image data (frame 40 − 180, marked gray in Fig. 8 ) by Fourier ...
doi:10.1109/tmi.2020.3017160
pmid:32804645
fatcat:lswoky5plzh6tbfwtbya7ypi6e
Front Matter: Volume 9784
2016
Medical Imaging 2016: Image Processing
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estimation [9784-13] 9784 0F Automated segmentation of upper digestive tract from abdominal contrast-enhanced CT data using hierarchical statistical modeling of organ interrelations [9784-14] SESSION ...
/terms-of-use 9784 0D Automatic segmentation and statistical shape modeling of the paranasal sinuses to estimate natural variations [9784-12] 9784 0E Combining multi-atlas segmentation with brain surface ...
[9784-111]
9784 35
Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers
using a spatio-temporal approach [9784-112]
9784 36
Interactive and scale invariant segmentation ...
doi:10.1117/12.2240619
fatcat:kot6cogf4rf6dcjhkzdrr5gahi
Hybrid cardiac imaging using PET/MRI: a joint position statement by the European Society of Cardiovascular Radiology (ESCR) and the European Association of Nuclear Medicine (EANM)
2018
European Journal of Hybrid Imaging
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Since 2010, hybrid PET/MRI using sequential and integrated scanner platforms has been available, with hybrid cardiac PET/MR imaging protocols increasingly incorporated into clinical workflows. ...
and MR-sequences will provide exciting new opportunities. ...
Segmentation and misalignment errors As the creation of μ-maps is based on segmentation of MR data, the validity of attenuation-corrected PET data is directly dependent on the validity of the underlying ...
doi:10.1186/s41824-018-0032-4
fatcat:uohab53ds5hkvol4gqscgg666y
Front Matter: Volume 10574
2018
Medical Imaging 2018: Image Processing
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Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. ...
Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
and conditional generative adversarial networks 10574 0A Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional ...
doi:10.1117/12.2315755
fatcat:jdfbaent6vhu5dwlrqrqt66vce
Hybrid cardiac imaging using PET/MRI: a joint position statement by the European Society of Cardiovascular Radiology (ESCR) and the European Association of Nuclear Medicine (EANM)
2018
European Radiology
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Since 2010, hybrid PET/MRI using sequential and integrated scanner platforms has been available, with hybrid cardiac PET/MR imaging protocols increasingly incorporated into clinical workflows. ...
. • Promising fields of application include a variety of cardiac conditions. • Larger studies are required to demonstrate its incremental and cost-effective value. • The translation of novel radiopharmaceuticals ...
Conflict of interest All other authors declare no conflicts of interest. Statistics and biometry No complex statistical methods were necessary for this paper. ...
doi:10.1007/s00330-017-5008-4
pmid:29717368
fatcat:qwdffzhdvrf37l4qwrgtnpbmje
Front Matter: Volume 10951
2019
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling
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angiogenesis and viable myocardium using hybrid cardiac imaging [10951-80]
10951 29
Step-wise identification of ultrasound-visible anatomical landmarks for 3D visualization of
scoliotic spine [10951 ...
cochlear implant
modeling [10951-56]
10951 1M
Using planning CTs to enhance CNN-based bladder segmentation on cone beam CT
[10951-57]
10951 1N
Neural-network-based automatic segmentation of cerebral ...
doi:10.1117/12.2531522
fatcat:6ed6gbuiarfetfqndgjmno772a
2014 Index IEEE Transactions on Medical Imaging Vol. 33
2014
IEEE Transactions on Medical Imaging
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Segmentation of Scar Tissue From Late-Enhancement Cardiac MR Images. ...
Interactive Hierarchical-Flow Segmentation of Scar Tissue From Late-Enhancement Cardiac MR Images. ...
doi:10.1109/tmi.2014.2386278
fatcat:poarfhfto5bm5mhfl7ugwtw4xy
Front Matter: Volume 9413
2015
Medical Imaging 2015: Image Processing
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Numbers in the index correspond to the last two digits of the six-digit citation identifier (CID) article numbering system used in Proceedings of SPIE. ...
Base 36 numbering is employed for the last two digits and indicates the order of articles within the volume. Numbers start with 00, ...
9413-39] 9413 15 Evaluation
of an automatic brain segmentation method developed for neonates on adult MR brain images SESSION 9 SEGMENTATION 9413 16 Active contour based segmentation of resected livers ...
doi:10.1117/12.2194368
fatcat:lbd4hy3s2rbodfhutf34bmarhu
Cardiac PET/MRI—an update
2019
European Journal of Hybrid Imaging
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Early after, reports on the first use of PET/MRI in oncological patients were released. ...
In this review article, we give an overview on technical updates within these last years with potential impact on cardiac imaging and summarize those scenarios where PET/MRI plays a pivotal role in cardiovascular ...
Availability of data and materials Not applicable. ...
doi:10.1186/s41824-018-0050-2
pmid:34191143
fatcat:jmhlxmiekndmlnd4snx2e7kjfa
A framework to measure myocardial extracellular volume fraction using dual-phase low dose CT images
2013
Medical Physics (Lancaster)
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Bland-Altman method showed 95% limits of agreement between ECVF at CT and ECVF at MR. ...
Compared to the manually delineated reference segmentations, the accuracy of our segmentation in terms of true positive volume fraction (TPVF), false positive volume fraction (FPVF), and average surface ...
The segmentation method of the proposed framework was accepted at RSNA2012. ...
doi:10.1118/1.4819936
pmid:24089934
pmcid:PMC3785529
fatcat:ch3uuho5mfbtbomq6n4rpqurba
Front Matter: Volume 12032
2022
Medical Imaging 2022: Image Processing
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of SPIE at the time of publication. ...
Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
network and one-shot learning [12032-14] 0H Evaluating the impact of MR image harmonization on thalamus deep network segmentation [12032-15] 0I Evaluating the impact of MR image contrast on whole brain ...
doi:10.1117/12.2638192
fatcat:ikfgnjefaba2tpiamxoftyi6sa
Front Matter: Volume 10134
2017
Medical Imaging 2017: Computer-Aided Diagnosis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. ...
Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
segmentation pipeline for contrast-enhanced CT scans of adult and pediatric patients 10134 3J Texture analysis of common renal masses in multiple MR sequences for prediction of pathology Radiogenomic ...
doi:10.1117/12.2277119
dblp:conf/micad/X17
fatcat:ika7pheqxngdxejyvkss4dkbv4
Deep Learning for Cardiac Image Segmentation: A Review
2020
Frontiers in Cardiovascular Medicine
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Deep learning has become the most widely used approach for cardiac image segmentation in recent years. ...
In this paper, we provide a review of over 100 cardiac image segmentation papers using deep learning, which covers common imaging modalities including magnetic resonance imaging (MRI), computed tomography ...
In contrast, deep learning (DL)-based algorithms are good at automatically discovering intricate features from data for object detection and segmentation. ...
doi:10.3389/fcvm.2020.00025
pmid:32195270
pmcid:PMC7066212
fatcat:iw7xpnltn5cgbn5ullq2ldy3nq
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