Right Ventricle Segmentation in Short-Axis MRI Using a Shape Constrained Dense Connected U-Net

This chapter covers all aspects of transthoracic examination, including patient information, preparing machine and probe, probe handling and image quality, 2D image acquisition, 3D image acquisition, multiplane image acquisition, data acquisition, parasternal long axis view, parasternal right ventricle inflow view, parasternal right ventricle outflow view, parasternal short axis (aortic) view, parasternal short axis (mitral) view, parasternal short axis (ventricle) views, parasternal 3D views, apical 4-chamber view, apical 5-chamber view, apical 2-chamber view, apical 3-chamber view, apical 3D views, subcostal views, inferior vena cava view, abdominal aorta view, suprasternal view, right parasternal view, and standard examination.

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COMPUTING VOLUME OF THE HEART'S RIGHT VENTRICLE USING 2D ECHOCARDIOGRAPHY IMAGES

Mathematical Modelling and Analysis ◽

10.3846/13926292.2014.960017 ◽

2014 ◽

Vol 19 (4) ◽

pp. 556-567

Author(s):

Andrius Ušinskas ◽

Mečislavas Meilūnas ◽

Mantas Paulinas ◽

Darius Miniotas ◽

Diana Zakarkaitė ◽

...

Keyword(s):

Right Ventricle ◽

3D Echocardiography ◽

Short Axis ◽

2D Echocardiography ◽

Proposed Model ◽

Plane Transverse ◽

Lateral Plane

This paper presents a new way for computing the volume of the heart's right ventricle. The technique involves manual marking of three critical contours of the ventricle's regions on 2D echocardiography images. The contours are then deformed semi-automatically to keep them orthogonal and concurrent in four-chamber plane, transverse (short-axis) plane, and lateral plane. The ventricle's surface is generated and its volume computed automatically. The proposed model was validated by comparing its estimate with actual measurements using 3D echocardiography imaging.

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Correlated Regression Feature Learning for Automated Right Ventricle Segmentation

IEEE Journal of Translational Engineering in Health and Medicine ◽

10.1109/jtehm.2018.2804947 ◽

2018 ◽

Vol 6 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Jun Chen ◽

Heye Zhang ◽

Weiwei Zhang ◽

Xiuquan Du ◽

Yanping Zhang ◽

...

Keyword(s):

Right Ventricle ◽

Feature Learning ◽

Ventricle Segmentation

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Right Ventricle Segmentation by Temporal Information Constrained Gradient Vector Flow

2013 IEEE International Conference on Systems, Man, and Cybernetics ◽

10.1109/smc.2013.435 ◽

2013 ◽

Cited By ~ 2

Author(s):

Xulei Yang ◽

Si Yong Yeo ◽

Yi Su ◽

Calvin Lim ◽

Min Wan ◽

...

Keyword(s):

Right Ventricle ◽

Temporal Information ◽

Gradient Vector Flow ◽

Gradient Vector ◽

Ventricle Segmentation

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Fast, accurate, and fully automatic segmentation of the right ventricle in short-axis cardiac MRI

Computerized Medical Imaging and Graphics ◽

10.1016/j.compmedimag.2013.12.011 ◽

2014 ◽

Vol 38 (3) ◽

pp. 190-201 ◽

Cited By ~ 33

Author(s):

Jordan Ringenberg ◽

Makarand Deo ◽

Vijay Devabhaktuni ◽

Omer Berenfeld ◽

Pamela Boyers ◽

...

Keyword(s):

Right Ventricle ◽

Cardiac Mri ◽

Automatic Segmentation ◽

Short Axis ◽

Fully Automatic ◽

The Right

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Cleft mitral valve in transposition with intact ventricular septum

Cardiology in the Young ◽

10.1017/s1047951104005128 ◽

2004 ◽

Vol 14 (5) ◽

pp. 550-552 ◽

Cited By ~ 3

Author(s):

Samuel Menahem ◽

Robert H. Anderson

Keyword(s):

Mitral Valve ◽

Right Ventricle ◽

Cardiac Development ◽

Current Knowledge ◽

Ventricular Septum ◽

Short Axis ◽

Intact Ventricular Septum ◽

Left Hand ◽

End Point ◽

The Right

We describe two cases of an isolated cleft of the mitral valve in transposition with intact ventricular septum. The cleft is positioned leftward in the pulmonary leaflet, at about 2 o’clock, when viewed from below looking at the cardiac short axis with the right ventricle to one’s left hand. Such clefts, when seen in the Taussig-Bing malformation are also positioned leftward.In keeping with our current knowledge of cardiac development, our cases provide further evidence that transposition with an intact ventricular septum is the end-point of the Taussig-Bing spectrum.

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