本文關(guān)鍵詞： 血管提取 MOC算法 動(dòng)態(tài)規(guī)劃 SOP算法　出處：《長(zhǎng)春工業(yè)大學(xué)》2012年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著人們生活水平的不斷提高,心腦血管疾病已經(jīng)成為影響人們身體健康的主要病因之一,血管輪廓和血管中心線提取技術(shù)的研究發(fā)展,為心腦血管疾病的診斷輸入了新的血液。血管輪廓和血管中心線的同時(shí)提取,確保醫(yī)生在診斷中獲得出更加豐富的血管信息,使人為診斷誤差降低到最小。 血管輪廓的精確提取對(duì)于血管疾病的診斷研究起著決定性作用。傳統(tǒng)算法提取出的血管輪廓邊緣不連續(xù)、混有偽邊緣輪廓。針對(duì)這一問題,本文結(jié)合常規(guī)微分法,在動(dòng)態(tài)規(guī)劃模型的基礎(chǔ)上提出MOC——最大優(yōu)化成本法。采用該算法提取的血管輪廓邊緣連續(xù)、定位準(zhǔn)確、避免偽邊緣的提取。 血管中心線跟原始圖像具有相同的拓?fù)湫院拖嗨频膸缀涡螤?因此可以較好的反映血管走向和血管的空間結(jié)構(gòu),同時(shí)佐證了血管輪廓提取的準(zhǔn)確性。在以距離變換算法為基礎(chǔ),Hessian矩陣模型的提取腦血管中心線的前提下,進(jìn)一步通過(guò)可視性搜索檢測(cè)要求,制約最短路徑的生成提取方法,然后提出了SOP——最短路徑優(yōu)化法。采用該算法確保血管中心線連續(xù)平滑的提取出來(lái)。 同時(shí)提取血管輪廓和血管中心線,使血管輪廓和血管中心線相互佐證,相互制約,減少了虛假判斷,克服了傳統(tǒng)方法提取出的血管輪廓和血管中心線邊緣不連續(xù),具有提取靈敏度高,定位準(zhǔn)確等優(yōu)點(diǎn),具有廣泛的實(shí)用價(jià)值。
[Abstract]:With the continuous improvement of people's living standards, cardiovascular and cerebrovascular diseases have become one of the main causes affecting people's health, and the research and development of vascular contour and blood vessel centerline extraction technology. The new blood is input to the diagnosis of cardiovascular and cerebrovascular diseases. The blood vessel contour and the blood vessel center line are extracted simultaneously to ensure that the doctor obtains more abundant vascular information in the diagnosis and minimizes the error of artificial diagnosis. The accurate extraction of vascular contour plays a decisive role in the diagnosis and research of vascular diseases. The edge of vascular contour extracted by traditional algorithm is discontinuous and mixed with pseudo-edge contour. Based on the dynamic programming model, MOC-maximum optimal cost method is proposed, which can extract the edge of vascular contour continuously, locate accurately and avoid pseudo-edge extraction. The center line of the blood vessel has the same topology and similar geometry as the original image, so it can better reflect the direction of the blood vessel and the spatial structure of the blood vessel. At the same time, the accuracy of vascular contour extraction is confirmed. On the premise of extracting cerebrovascular centerline from Hessian matrix model based on distance transform algorithm, the method of generating and extracting shortest path is restricted by visual search detection. Then the SOP- shortest path optimization method is proposed, which is used to ensure the smooth extraction of the blood vessel centerline. At the same time, the blood vessel contour and the blood vessel center line are extracted at the same time, which makes the blood vessel contour and the blood vessel center line mutually corroborate, restricts each other, reduces the false judgment, and overcomes the discontinuity of the blood vessel contour and the blood vessel center line edge extracted by the traditional method. It has the advantages of high extraction sensitivity, accurate location and so on. It has extensive practical value.
【學(xué)位授予單位】：長(zhǎng)春工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：R318.0

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