Key result
An automatic multimodality registration method fusing 2D echocardiography and cardiac CT showed no significant difference in mitral valve annulus diameter measurements compared to manual registration.
Why the study?
Does an automatic registration method fusing 2D echocardiography with cardiac CT perform comparably to manual registration for mitral valve assessment?
Does an automatic registration method fusing 2D echocardiography with cardiac CT perform comparably to manual registration for mitral valve assessment?
An automated multimodality registration method fusing 2D echocardiography and cardiac CT performs comparably to manual registration, potentially aiding in mitral valve diagnosis and surgical planning.
May support automated mitral annulus measurement; hypothesis-generating pending larger validation studies.
A registration method to fuse two-dimensional (2-D) echocardiography images with cardiac computed tomography (CT) volume is presented. The method consists of two major procedures: temporal and spatial registrations. In temporal registration, the echocardiography frames at similar cardiac phases as the CT volume were interpolated based on electrocardiogram signal information, and the noise of the echocardiography image was reduced using the speckle reducing anisotropic diffusion technique. For spatial registration, an intensity-based normalized mutual information method was applied with a pattern search optimization algorithm to produce an interpolated cardiac CT image. The proposed registration framework does not require optical tracking information. Dice coefficient and Hausdorff distance for the left atrium assessments were [Formula: see text] and [Formula: see text], respectively; for left ventricle, they were [Formula: see text] and [Formula: see text], respectively. There was no significant difference in the mitral valve annulus diameter measurement between the manually and automatically registered CT images. The transformation parameters showed small deviations ([Formula: see text] deviation in translation and [Formula: see text] for rotation) between manual and automatic registrations. The proposed method aids the physician in diagnosing mitral valve disease as well as provides surgical guidance during the treatment procedure.
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Khalil et al. (2017) studied Mitral valve disease. Automatic multimodality registration of 2-D echocardiography and cardiac CT vs. Manual registration was evaluated on Mitral valve annulus diameter measurement, Dice coefficient, and Hausdorff distance. An automatic multimodality registration method fusing 2D echocardiography and cardiac CT showed no significant difference in mitral valve annulus diameter measurements compared to manual registration.
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