19 August 2017 Multimodality registration of two-dimensional echocardiography and cardiac CT for mitral valve diagnosis and surgical planning
Azira Khalil, Amir Faisal, Siew-Cheok Ng, Yih Miin Liew, Khin Wee Lai
Author Affiliations +
Abstract
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 <inline-formula< <mml:math display="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML"< <mml:mrow< <mml:mn<0.87</mml:mn< <mml:mo<±</mml:mo< <mml:mn<0.04</mml:mn< </mml:mrow< </mml:math< </inline-formula< and <inline-formula< <mml:math display="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML"< <mml:mrow< <mml:mn<1.23</mml:mn< <mml:mo<±</mml:mo< <mml:mn<0.32</mml:mn< <mml:mtext<  </mml:mtext< <mml:mi<mm</mml:mi< </mml:mrow< </mml:math< </inline-formula<, respectively; for left ventricle, they were <inline-formula< <mml:math display="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML"< <mml:mrow< <mml:mn<0.82</mml:mn< <mml:mo<±</mml:mo< <mml:mn<0.07</mml:mn< </mml:mrow< </mml:math< </inline-formula< and <inline-formula< <mml:math display="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML"< <mml:mrow< <mml:mn<1.14</mml:mn< <mml:mo<±</mml:mo< <mml:mn<0.18</mml:mn< <mml:mtext<  </mml:mtext< <mml:mi<mm</mml:mi< </mml:mrow< </mml:math< </inline-formula<, 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 (<inline-formula< <mml:math display="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML"< <mml:mrow< <mml:mo<≤</mml:mo< <mml:mn<1.14</mml:mn< <mml:mtext<  </mml:mtext< <mml:mi<mm</mml:mi< </mml:mrow< </mml:math< </inline-formula< deviation in translation and <inline-formula< <mml:math display="inline" xmlns:mml="http://www.w3.org/1998/Math/MathML"< <mml:mrow< <mml:mo form="prefix"<<</mml:mo< <mml:mn<2</mml:mn< <mml:mtext<  </mml:mtext< <mml:mi<deg</mml:mi< </mml:mrow< </mml:math< </inline-formula< 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.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2017/$25.00 © 2017 SPIE
Azira Khalil, Amir Faisal, Siew-Cheok Ng, Yih Miin Liew, and Khin Wee Lai "Multimodality registration of two-dimensional echocardiography and cardiac CT for mitral valve diagnosis and surgical planning," Journal of Medical Imaging 4(3), 037001 (19 August 2017). https://doi.org/10.1117/1.JMI.4.3.037001
Received: 20 March 2017; Accepted: 27 July 2017; Published: 19 August 2017
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CITATIONS
Cited by 21 scholarly publications.
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KEYWORDS
Image registration

Echocardiography

Computed tomography

Optical tracking

Heart

3D image processing

Gold

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