| Summary: | 碩士 === 國立聯合大學 === 電機工程學系碩士班 === 106 === Erectile dysfunction(ED) has been confirmed as one of the precursor of cardiovascular disease. The treatment and tracking of ED is one of the quite worth noting therapeutic indicators for patients with cardiovascular disease. At present, the medical team of National Taiwan University Hospital has proposed an innovative and effective therapy for ED. Simultaneously, experiments show that the three-dimensional pelvic vascular model can be established by using MSCT pelvic angiography images, which can be applied to the clinical diagnosis and tracking of ED patients. The software package which purchased by the hospital cannot accurately reconstruct the three-dimensional vascular model of the pelvic vascular, moreover the establishment of the vascular model requires the physician to perform complicated manual parameter adjustments, which is very time consuming and laborious.
The MSCT pelvic vascular has the characteristics of complex HU value, low target segmentation vascular intensity, tiny blood vessels, multiple tortuosity, similar to surrounding soft tissues, lack of connectivity in the narrow segment. The above reasons make it difficult to segment accurately and quantify the vessels in pelvic vascular. So far, the current research can not be applied to pelvic vascular reconstruction effectly. To assist physicians in clinical diagnosis and postoperative evaluation, this paper develops an automated pelvic vascular reconstruction and stenosis anlysis algorithm.
In purposed method, this paper develops a multi-scale modifited Sato filter to calculate the vascular structural response value based on the Sato filter, assists in increasing the vascular weight, and uses the adaptive parameter region growing method for vascular reconstruction. Utilize the resulting of pelvic vascular tree calculates simple path extraction, tube cross-sectional area quantification analysis and assessment of vascular stenosis based on the concept of graph theory.
Compared with the widespread segmentation method, the result which confirmed to be better can be obtained in the pelvic vascular tree segmentation in this paper, and the correct single specified path can be accurately extracted in the vascular path calculation. In this paper, the details of the algorithm and the detailed correction must be considered in the analysis of the vessel cross-sectional area and the stenosis. The actual measurement and discussion will be carried out for more clinical cases in this research, so that the future can be practically applied to the clinical pelvic vascular treatment.
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