Paper
10 March 2008 Cardiac phase detection in intravascular ultrasound images
Monica M. S. Matsumoto, Pedro Alves Lemos M.D., Takashi Yoneyama, Sergio Shiguemi Furuie
Author Affiliations +
Abstract
Image gating is related to image modalities that involve quasi-periodic moving organs. Therefore, during intravascular ultrasound (IVUS) examination, there is cardiac movement interference. In this paper, we aim to obtain IVUS gated images based on the images themselves. This would allow the reconstruction of 3D coronaries with temporal accuracy for any cardiac phase, which is an advantage over the ECG-gated acquisition that shows a single one. It is also important for retrospective studies, as in existing IVUS databases there are no additional reference signals (ECG). From the images, we calculated signals based on average intensity (AI), and, from consecutive frames, average intensity difference (AID), cross-correlation coefficient (CC) and mutual information (MI). The process includes a wavelet-based filter step and ascendant zero-cross detection in order to obtain the phase information. Firstly, we tested 90 simulated sequences with 1025 frames each. Our method was able to achieve more than 95.0% of true positives and less than 2.3% of false positives ratio, for all signals. Afterwards, we tested in a real examination, with 897 frames and ECG as gold-standard. We achieved 97.4% of true positives (CC and MI), and 2.5% of false positives. For future works, methodology should be tested in wider range of IVUS examinations.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Monica M. S. Matsumoto, Pedro Alves Lemos M.D., Takashi Yoneyama, and Sergio Shiguemi Furuie "Cardiac phase detection in intravascular ultrasound images", Proc. SPIE 6920, Medical Imaging 2008: Ultrasonic Imaging and Signal Processing, 69200D (10 March 2008); https://doi.org/10.1117/12.769670
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CITATIONS
Cited by 13 scholarly publications and 1 patent.
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KEYWORDS
Intravascular ultrasound

Signal detection

Artificial intelligence

Electrocardiography

Heart

Electronic filtering

Speckle

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