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Free-Breathing 3D Imaging of Right Ventricular Structure and Function Using Respiratory and Cardiac Self-Gated Cine MRI.

Zhu Y, Liu J, Weinsaft J, Spincemaille P, Nguyen TD, Prince MR, Bao S, Xie Y, Wang Y - Biomed Res Int (2015)

Bottom Line: Providing a movie of the beating heart in a single prescribed plane, cine MRI has been widely used in clinical cardiac diagnosis, especially in the left ventricle (LV).High correlations between the two techniques were found (RVEDV: 0.94; RVESV: 0.85; RVSV: 0.95; and RVEF: 0.89).Compared with 2D, the 3D image quality measurements show a small reduction in blood SNR, myocardium-blood CNR, myocardium contrast, and image sharpness.

View Article: PubMed Central - PubMed

Affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Nanshan District, Shenzhen 518055, China ; Beijing City Key Lab of Medical Physics and Engineering, School of Physics, Peking University, 201 Chengfu Road, Haidian District, Beijing 100871, China ; Department of Radiology, Weill Cornell Medical College, 515 East 71th Street, New York, NY 10021, USA.

ABSTRACT
Providing a movie of the beating heart in a single prescribed plane, cine MRI has been widely used in clinical cardiac diagnosis, especially in the left ventricle (LV). Right ventricular (RV) morphology and function are also important for the diagnosis of cardiopulmonary diseases and serve as predictors for the long term outcome. The purpose of this study is to develop a self-gated free-breathing 3D imaging method for RV quantification and to evaluate its performance by comparing it with breath-hold 2D cine imaging in 7 healthy volunteers. Compared with 2D, the 3D RV functional measurements show a reduction of RV end-diastole volume (RVEDV) by 10%, increase of RV end-systole volume (RVESV) by 1.8%, reduction of RV systole volume (RVSV) by 21%, and reduction of RV ejection fraction (RVEF) by 12%. High correlations between the two techniques were found (RVEDV: 0.94; RVESV: 0.85; RVSV: 0.95; and RVEF: 0.89). Compared with 2D, the 3D image quality measurements show a small reduction in blood SNR, myocardium-blood CNR, myocardium contrast, and image sharpness. In conclusion, the proposed self-gated free-breathing 3D cardiac cine imaging technique provides comparable image quality and correlated functional measurements to those acquired with the multiple breath-hold 2D technique in RV.

No MeSH data available.


Related in: MedlinePlus

Block diagram of the algorithm used in self-gated reconstruction. Profile centers are used to derive self-gating signals. Respiratory and cardiac self-gating signals are used to classify profiles before using gridding reconstruction for each cardiac phase.
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fig2: Block diagram of the algorithm used in self-gated reconstruction. Profile centers are used to derive self-gating signals. Respiratory and cardiac self-gating signals are used to classify profiles before using gridding reconstruction for each cardiac phase.

Mentions: The flow chart of self-gating image reconstruction is shown in Figure 2. The profile centers, shown as red points in Figure 1, were used to extract the self-gating signal of both respiratory and cardiac motions. As described in [12], 1D Fourier transform of profile centers can be used to derive imaging volume projection along the z-axis, which is called Z-intensity projection (ZIP). The center of mass (COM) of each ZIP contains mixed respiratory and cardiac motions that occur during the data acquisition. Since these motions are known to have different frequency contents (0.1–0.5 Hz for respiratory motion and 0.6–3 Hz for cardiac motion) [15], they can be separated by using band pass filter. The coil element with the smallest variance of the detected R-R intervals was selected for cardiac gating and, similarly, the coil element with the smallest variance of respiratory peak or valley positions was chosen for respiratory gating. This technique was capable of tracking both respiratory and cardiac motions [12].


Free-Breathing 3D Imaging of Right Ventricular Structure and Function Using Respiratory and Cardiac Self-Gated Cine MRI.

Zhu Y, Liu J, Weinsaft J, Spincemaille P, Nguyen TD, Prince MR, Bao S, Xie Y, Wang Y - Biomed Res Int (2015)

Block diagram of the algorithm used in self-gated reconstruction. Profile centers are used to derive self-gating signals. Respiratory and cardiac self-gating signals are used to classify profiles before using gridding reconstruction for each cardiac phase.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4491385&req=5

fig2: Block diagram of the algorithm used in self-gated reconstruction. Profile centers are used to derive self-gating signals. Respiratory and cardiac self-gating signals are used to classify profiles before using gridding reconstruction for each cardiac phase.
Mentions: The flow chart of self-gating image reconstruction is shown in Figure 2. The profile centers, shown as red points in Figure 1, were used to extract the self-gating signal of both respiratory and cardiac motions. As described in [12], 1D Fourier transform of profile centers can be used to derive imaging volume projection along the z-axis, which is called Z-intensity projection (ZIP). The center of mass (COM) of each ZIP contains mixed respiratory and cardiac motions that occur during the data acquisition. Since these motions are known to have different frequency contents (0.1–0.5 Hz for respiratory motion and 0.6–3 Hz for cardiac motion) [15], they can be separated by using band pass filter. The coil element with the smallest variance of the detected R-R intervals was selected for cardiac gating and, similarly, the coil element with the smallest variance of respiratory peak or valley positions was chosen for respiratory gating. This technique was capable of tracking both respiratory and cardiac motions [12].

Bottom Line: Providing a movie of the beating heart in a single prescribed plane, cine MRI has been widely used in clinical cardiac diagnosis, especially in the left ventricle (LV).High correlations between the two techniques were found (RVEDV: 0.94; RVESV: 0.85; RVSV: 0.95; and RVEF: 0.89).Compared with 2D, the 3D image quality measurements show a small reduction in blood SNR, myocardium-blood CNR, myocardium contrast, and image sharpness.

View Article: PubMed Central - PubMed

Affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Nanshan District, Shenzhen 518055, China ; Beijing City Key Lab of Medical Physics and Engineering, School of Physics, Peking University, 201 Chengfu Road, Haidian District, Beijing 100871, China ; Department of Radiology, Weill Cornell Medical College, 515 East 71th Street, New York, NY 10021, USA.

ABSTRACT
Providing a movie of the beating heart in a single prescribed plane, cine MRI has been widely used in clinical cardiac diagnosis, especially in the left ventricle (LV). Right ventricular (RV) morphology and function are also important for the diagnosis of cardiopulmonary diseases and serve as predictors for the long term outcome. The purpose of this study is to develop a self-gated free-breathing 3D imaging method for RV quantification and to evaluate its performance by comparing it with breath-hold 2D cine imaging in 7 healthy volunteers. Compared with 2D, the 3D RV functional measurements show a reduction of RV end-diastole volume (RVEDV) by 10%, increase of RV end-systole volume (RVESV) by 1.8%, reduction of RV systole volume (RVSV) by 21%, and reduction of RV ejection fraction (RVEF) by 12%. High correlations between the two techniques were found (RVEDV: 0.94; RVESV: 0.85; RVSV: 0.95; and RVEF: 0.89). Compared with 2D, the 3D image quality measurements show a small reduction in blood SNR, myocardium-blood CNR, myocardium contrast, and image sharpness. In conclusion, the proposed self-gated free-breathing 3D cardiac cine imaging technique provides comparable image quality and correlated functional measurements to those acquired with the multiple breath-hold 2D technique in RV.

No MeSH data available.


Related in: MedlinePlus