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Evaluation of blood flow distribution asymmetry and vascular geometry in patients with Fontan circulation using 4-D flow MRI
2016
Pediatric Radiology
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from phase contrast MRI. ...
The aim of this study was to test the feasibility of 4-D flow MRI for characterizing the relationship between 3-D blood flow distribution and vascular geometry. ...
Lurie Children's Hospital of Chicago, for their contributions in data management and patient recruitment. ...
doi:10.1007/s00247-016-3654-3
pmid:27350377
pmcid:PMC5039076
fatcat:pvr4ksl6wnehrd2risch5u5is4
Simulation of phase contrast angiography for renal arterial models
2018
BioMedical Engineering OnLine
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Recently, there is a growing interest in phase contrast angiography (PCA) sequence due to the capabilities of blood flow quantification that it offers. ...
Moreover, as it is a non-contrast enhanced protocol, it has become an attractive option in areas, where usage of invasive contrast agents is not indifferent for the imaged tissue. ...
Marcin Majos, MD, of the Medical University of Lodz, for collection of the CT angiograms and ultrasound data, which served for constructing patient-specific renal arterial models. ...
doi:10.1186/s12938-018-0471-y
pmid:29661193
pmcid:PMC5902949
fatcat:whfptduotrebdhl4kvsc2arulq
Geometric Flows for Segmenting Vasculature in MRI: Theory and Validation
[chapter]
2004
Lecture Notes in Computer Science
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Whereas vessels are signaled by black blood contrast in such images, extracting them is a challenge because other anatomical structures also yield similar contrasts at their boundaries. ...
In this paper, we present a novel multi-scale geometric flow for segmenting vasculature from standard MRI which can also be applied to the easier cases of angiography data. ...
Fig. 1 . 1 A mid-sagittal slice of a proton density (PD) weighted MRI volume, a time of flight (TOF) MR angiogram and a phase contrast (PC) MR angiogram of the same subject. ...
doi:10.1007/978-3-540-30135-6_61
fatcat:r4oziljjy5cczmk2i6ew2kxesa
A review of vessel extraction techniques and algorithms
2004
ACM Computing Surveys
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While we have mainly targeted the extraction of blood vessels, neurosvascular structure in particular, we have also reviewed some of the segmentation methods for the tubular objects that show similar characteristics ...
We put the various vessel extraction approaches and techniques in perspective by means of a classification of the existing research. ...
Their work aims at automated qualitative analysis of arterial flow using velocity-sensitive, phase contrast MR images. ...
doi:10.1145/1031120.1031121
fatcat:7zms3avnjrfd7plwcitqx3cdiq
Time-Resolved High-Resolution Angiography Combining Arterial Spin Labeling and Time-of-Flight Imaging
2020
Applied Magnetic Resonance
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The behavior of vascular filling (i.e. signal changes in the ASL) is investigated and used for further interpretation of the data. ...
Furthermore, owing to the properties of ASL, visible venous flow in the time-of-flight images can be suppressed. ...
It is, for example, possible to measure the intraluminal diameter in stenotic arteries or to detect small aneurysms [2] . ...
doi:10.1007/s00723-020-01271-5
fatcat:jyfedlkgxre35mvvcutng7ywha
A Multi-scale Geometric Flow for Segmenting Vasculature in MRI
[chapter]
2004
Lecture Notes in Computer Science
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Whereas vessels are signaled by black blood contrast in such images, extracting them is a challenge because other anatomical structures also yield similar contrasts at their boundaries. ...
In this paper we present a novel multi-scale geometric flow for segmenting vasculature from PD images which can also be applied to the easier cases of MR angiography data or Gadolinium enhanced MRI. ...
We thank Bruce Pike, Simon Duchesne and Ingerid Reinertsen for helpful discussions on the validation of our approach. ...
doi:10.1007/978-3-540-27816-0_15
fatcat:th2rj7lntndxte3jebue7sjqhi
Changes in intracranial venous blood flow and pulsatility in Alzheimer's disease: A 4D flow MRI study
2016
Journal of Cerebral Blood Flow and Metabolism
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In this study, 4D flow MRI was used to measure intra-cranial flow features with cardiac-gated phase contrast MRI in cranial arteries and veins. ...
Mean blood flow and pulsatility index as well as the transit time of the peak flow from the middle cerebral artery to the superior sagittal sinus were measured in a total of 104 subjects comprising of ...
Acknowledgments We gratefully acknowledge GE Healthcare for their assistance and support. ...
doi:10.1177/0271678x16661340
pmid:27492950
pmcid:PMC5464708
fatcat:zmelaqtq3fdo5ngcpbygoskesm
A geometric flow for segmenting vasculature in proton-density weighted MRI
2008
Medical Image Analysis
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In this paper we develop a novel geometric flow for segmenting vasculature in PD images, which can also be applied to the easier cases of MR angiography data or Gadolinium enhanced MRI. ...
We carry out a qualitative validation of the approach on PD, MR angiography and Gadolinium enhanced MRI volumes and suggest a new way to visualize the segmentations in 2D with masked projections. ...
We thank Bruce Pike, Simon Drouin and Ingerid Reinertsen for helpful discussions. ...
doi:10.1016/j.media.2008.02.003
pmid:18375175
fatcat:2efmotwkf5frdgjfd5prj42qja
A Simulation Study Investigating Potential Diffusion-based MRI Signatures of Microstrokes
[article]
2020
bioRxiv
pre-print
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Computational vascular graphs combined with a 3D Monte-Carlo simulator were used to characterize the magnetic resonance (MR) response, encompassing the effects of magnetic field perturbations caused by ...
The statistical power further increased (p<0.005) using angiograms measured at week 4. Without ASL, no reliable signal change was found. ...
ASL approaches have already shown promising applications in measuring regional cerebral blood flow (rCBF) or perfusion [19] [20] [21] , and in assessing vascular disorders 20, 22, 23 . ...
doi:10.1101/2020.08.19.257741
fatcat:wimr3ejfr5atdbsdl6kinxifki
Noninvasive hemodynamic assessment, treatment outcome prediction and follow-up of aortic coarctation from MR imaging
2015
Medical Physics (Lancaster)
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The focus of this work is to present an alternative, noninvasive measurement of blood pressure drop △P through the introduction of a fast, image-based workflow for personalized computational modeling of ...
Results: Automatic thoracic aorta segmentation was applied on a population of 212 3D MR volumes, with mean symmetric point-to-mesh error of 3.00 ± 1.58 mm and average computation time of 8 s. ...
Among the 3D volumes were contrast enhanced-MR angiogram (CE-MRA) and Balanced Turbo Field Echo (BTFE) acquisition protocols. ...
doi:10.1118/1.4914856
pmid:25979009
fatcat:f5bj3xgxejh7thvmyec6xcpvci
Scan-Rescan reproducibility of carotid bifurcation geometry from routine contrast-enhanced MR angiography
2011
Journal of Magnetic Resonance Imaging
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Purpose-To demonstrate the feasibility of rapid and reliable geometric characterization of normal carotid bifurcation geometry from routine three-dimensional (3D) contrast-enhanced MR angiograms. ...
Materials and Methods-Repeat scans of 61 participants, acquired as part of the Atherosclerosis Risk in Communities (ARIC) Carotid MRI substudy, were digitally segmented using automated 3D level set methods ...
Acknowledgments The authors thank the staff and participants of the ARIC study for their important contributions, and Dr. Yiemeng Hoi for assisting with the inter-operator substudy. ...
doi:10.1002/jmri.22440
pmid:21274992
pmcid:PMC3059724
fatcat:ogljkcbauzgndd7dr3w3yulsv4
The Effect Of Vascular Segmentation Methods On Stereotactic Trajectory Planning For Drug Resistant Focal Epilepsy: A Retrospective Cohort Study
2019
World Neurosurgery: X
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Significant variability in vascular imaging and trajectory planning practices exist for SEEG. CAP performed with MR + Gad or MRV + MRA alone returns "falsely" lower risk scores compared with DSA. ...
We aimed to quantify the effect of different vascular imaging protocols on CAP trajectories for SEEG. ...
Vessel diameter of the DSA meshes was measured from the DSA meshes fit with a centerline using a flux-driven automatic centerline extraction algorithm. 15 The radius of the DSA meshes was computed as ...
doi:10.1016/j.wnsx.2019.100057
pmid:31650126
pmcid:PMC6804655
fatcat:g3mocpaqjraa3kpiomemabjnbm
Patient-Specific Modeling of Cardiovascular Mechanics
2009
Annual Review of Biomedical Engineering
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We review methods to create anatomic and physiologic models, obtain properties, assign boundary conditions, and solve the equations governing blood flow and vessel wall dynamics. ...
Patient-specific models are being used to guide cell culture and animal experiments and test hypotheses related to the role of biomechanical factors in vascular diseases. ...
ACKNOWLEDGMENTS This review was supported, in part, by grants from the National Science Foundation (ITR-0205741) and the National Institutes of Health (U54 GM072970). We also acknowledge expert ...
doi:10.1146/annurev.bioeng.10.061807.160521
pmid:19400706
pmcid:PMC4581431
fatcat:hyc2p2gvwffx5m2egsvausrsla
Improving Blood Flow Visualization of Recirculation Regions at Carotid Bulb in 4D Flow MRI Using Semi-Automatic Segmentation with ITK-SNAP
2021
Diagnostics
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Our proposed strategy showed the feasibility of improving recirculation regions segmentation and the potential for reliable blood flow visualization in 4D flow MRI. ...
However, the dispersion of velocity data points relative to the local errors of measurement in 4D flow MRI remains. ...
of blood vessels and for generating a centerline [19] . ...
doi:10.3390/diagnostics11101890
pmid:34679588
fatcat:5embvyhlg5cnrecswq4lf665qq
A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes
2009
Medical Image Analysis
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In this paper, we review state-of-the-art literature on vascular segmentation, with a particular focus on 3D contrast-enhanced imaging modalities (MRA and CTA). ...
Vascular diseases are among the most important public health problems in developed countries. ...
Acknowledgement The authors would like to thank the reviewers for their constructive and thoughtful comments. ...
doi:10.1016/j.media.2009.07.011
pmid:19818675
fatcat:rroixlliubb6nfmvlhahdqtniq
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