Three-dimensional Imaging Of The Coronary

Coronary atherosclerotic disease is the critical diovasculardisease which can lead to death, and the implantation of intracoronarystents is currently the main treatment of the disease treatment program,aiming at reducing restenosis and thrombosis troubles. The accuracy ofstent opposition is essential for the late.In the last10years optical coherence tomography is one of the rapiddeveloped optical imaging technology. With the advantages of non-invasive,high-resolution, rapid, real-time and in body, it is used in manybiomedical applications. In recent years, cardiovascular imaging has alsoput into use, and some has been put into clinical applications and achievedsome results. However, present images still stay in two-dimensional (2D)imaging level, while2D images just show the plane level, the observers’can t clearly see spatial information and then the diagnosis prone toflaws. Although three-dimensional (3D) imaging solutions have beenproposed, most stay in research level instead of putting into clinicaltrials. Because of the shortcomings of these programs, more trials shouldbe taken to constantly improve and perfect the existing achievements.In this paper, we propose a method of3D imaging method, hoping toassess the state of stents and observe their changes. In this paper,preprocessing and3D modeling is included. In preprocessing, we hasfinished denoise, reducing artifacts and image segmentation. With respectto speckle noise and other random noise and image artifacts, the qualityof these images is improved by ImageJ software, Gaussian smoothing andmean filter. As to the problem of stents apposition, Otsu’s method isproposed. While segmenting the stent, a new algorithm is proposedaccording to the particularity of the image pixel intensity of the stents.And with the help of Amira，3D model is built.Compared with the traditional2D imaging,3D image is of potentialbenefits. It is in line with the visual characteristics of the human eyeand can achieve multi-angle, multi-level observation, especially inmedical field. With the premise of not affecting the organizationalstructure,3D imaging is able to observe lesions of disease greatly, andit is of great importance.