Next Article in Journal
Lumbar Stabilization with DSS-HPS® System: Radiological Outcomes and Correlation with Adjacent Segment Degeneration
Previous Article in Journal
Margin Status Post Cervical Conization Predicts Residual Adenocarcinoma In Situ (AIS) and Occult Adenocarcinoma in a Predominantly Hispanic Population
 
 
Article

Improving Blood Flow Visualization of Recirculation Regions at Carotid Bulb in 4D Flow MRI Using Semi-Automatic Segmentation with ITK-SNAP

by 1,†, 2,†, 3, 2,4, 2,4,* and 5,*
1
Department of Radiology of Hue Central Hospital, Hue, Thua Thien Hue 530000, Vietnam
2
Division of Mechanical Design Engineering, College of Engineering, Jeonbuk National University, Jeon-ju 54896, Korea
3
Department of Mechanical and Biomedical Engineering, Kangwon National University, Chuncheon 24341, Korea
4
Hemorheology Research Institute, Jeonbuk National University, Jeon-ju 54896, Korea
5
Department of Radiology and Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeon-ju 54907, Korea
*
Authors to whom correspondence should be addressed.
These authors have contributed equally to this paper.
Academic Editor: Romaric Loffroy
Diagnostics 2021, 11(10), 1890; https://doi.org/10.3390/diagnostics11101890
Received: 16 September 2021 / Revised: 6 October 2021 / Accepted: 10 October 2021 / Published: 13 October 2021
(This article belongs to the Section Medical Imaging and Theranostics)
Assessment of carotid bulb hemodynamics using four-dimensional (4D) flow magnetic resonance imaging (MRI) requires accurate segmentation of recirculation regions that is frequently hampered by limited resolution. This study aims to improve the accuracy of 4D flow MRI carotid bulb segmentation and subsequent recirculation regions analysis. Time-of-flight (TOF) MRI and 4D flow MRI were performed on bilateral carotid artery bifurcations in seven healthy volunteers. TOF-MRI data was segmented into 3D geometry for computational fluid dynamics (CFD) simulations. ITK-SNAP segmentation software was included in the workflow for the semi-automatic generation of 4D flow MRI angiographic data. This study compared the velocities calculated at the carotid bifurcations and the 3D blood flow visualization at the carotid bulbs obtained by 4D flow MRI and CFD. By applying ITK-SNAP segmentation software, an obvious improvement in the 4D flow MRI visualization of the recirculation regions was observed. The 4D flow MRI images of the recirculation flow characteristics of the carotid artery bulbs coincided with the CFD. A reasonable agreement was found in terms of velocity calculated at the carotid bifurcation between CFD and 4D flow MRI. However, the dispersion of velocity data points relative to the local errors of measurement in 4D flow MRI remains. Our proposed strategy showed the feasibility of improving recirculation regions segmentation and the potential for reliable blood flow visualization in 4D flow MRI. However, quantitative analysis of recirculation regions in 4D flow MRI with ITK-SNAP should be enhanced for use in clinical situations. View Full-Text
Keywords: recirculation regions; carotid bulb; four-dimensional flow magnetic resonance imaging; ITK-SNAP; computational fluid dynamics recirculation regions; carotid bulb; four-dimensional flow magnetic resonance imaging; ITK-SNAP; computational fluid dynamics
Show Figures

Figure 1

MDPI and ACS Style

Ngo, M.T.; Lee, U.Y.; Ha, H.; Jung, J.; Lee, D.H.; Kwak, H.S. Improving Blood Flow Visualization of Recirculation Regions at Carotid Bulb in 4D Flow MRI Using Semi-Automatic Segmentation with ITK-SNAP. Diagnostics 2021, 11, 1890. https://doi.org/10.3390/diagnostics11101890

AMA Style

Ngo MT, Lee UY, Ha H, Jung J, Lee DH, Kwak HS. Improving Blood Flow Visualization of Recirculation Regions at Carotid Bulb in 4D Flow MRI Using Semi-Automatic Segmentation with ITK-SNAP. Diagnostics. 2021; 11(10):1890. https://doi.org/10.3390/diagnostics11101890

Chicago/Turabian Style

Ngo, Minh Tri, Ui Yun Lee, Hojin Ha, Jinmu Jung, Dong Hwan Lee, and Hyo Sung Kwak. 2021. "Improving Blood Flow Visualization of Recirculation Regions at Carotid Bulb in 4D Flow MRI Using Semi-Automatic Segmentation with ITK-SNAP" Diagnostics 11, no. 10: 1890. https://doi.org/10.3390/diagnostics11101890

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop