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    1. Vascular Stress Analysis During in vivo Intravascular Optical Coherence Tomography Imaging

      Vascular Stress Analysis During in vivo Intravascular Optical Coherence Tomography Imaging

      Intravascular optical coherence tomography (IVOCT) has been employed to clinical coronary imaging for several years. But the influence of flushing and OCT catheter to the blood vessel biomechanical properties have not been studied. In this paper, IVOCT imaging is integrated with the fluid-structure interaction (FSI) simulation to study the blood flow velocity and the stress distribution of a porcine carotid artery during IVOCT imaging. 3D geometric model is built based on the in vivo OCT images, and a hyperelastic model is employed for the material properties of the vascular wall. The blood flow profile and wall stress distributions under various ...

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    2. Vascular Deformation Analysis Based On in vivo Intravascular Optical Coherence Tomography Imaging

      Vascular Deformation Analysis Based On in vivo Intravascular Optical Coherence Tomography Imaging

      Intravascular optical coherence tomography (OCT) has the characteristics of high resolution and fast imaging speed. Continuous images of the same section of the same vessel can reflect the deformation characteristics of the vessel wall under different blood pressure. Digital image processing may be used to segment various structures on the vascular wall and extract the deformation incorporating with biomechanical analysis. Image filtering plays a very important role in image processing. Median filter was used to filter salt and pepper noise in OCT images. Fuzzy function gray processing method was used to suppress irrelevant information and improve image clarity. Dividing point ...

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    3. Automatic Segmentation Methods Based on Machine Learning for Intracoronary Optical Coherence Tomography Image

      Automatic Segmentation Methods Based on Machine Learning for Intracoronary Optical Coherence Tomography Image

      Cardiovascular diseases are closely associated with sudden rupture of atherosclerotic plaques. Previous image modalities such as magnetic resonance imaging (MRI) and intravascular ultrasound (IVUS) were unable to identify vulnerable plaques due to their limited resolution. Optical coherence tomography (OCT) is an advanced intravascular imaging technique developed in recent years which has high resolution approximately 10 microns and could provide more accurate morphology of coronary plaque. In particular, it is now possible to identify plaques with fibrous cap thickness < 65 µm, an accepted threshold value for vulnerable plaques. However, the current segmentation of OCT images are still performed manually by physicians ...

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    1-3 of 3
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