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Medical Imaging Techniques for Characterizing Cerebral Angioarchitecture

機(jī)譯：醫(yī)學(xué)成像技術(shù)表征腦血管結(jié)構(gòu)

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There is a fundamental gap in how blood flow quantification can be accomplished in interventional digital subtraction angiography (DSA) to provide physicians with measurements to interpret the patient's vascular health. Continued existence of this gap represents an important problem because, until it is filled, physicians can only rely on qualitative information of intensity changes to understand blood flow variations caused by the intervention treatment.;The long-term goal is to transform DSA, the gold standard for qualitative blood flow assessment, into a fully automated quantitative measurement tool that can potentially aid clinical decision making in endovascular interventions. Current approaches focus on using signals from a single vessel to determine blood flow and have not been successful due to the slow frame rate.;It is our central hypothesis that a radically different flow quantification approach, using all the information from the entire image set concurrently to overcome the slow DSA frame rate, will provide reliable blood flow measurement in all vessels. The immediate objective is to create the proposed whole-tree DSA blood flow measurement method and to test its feasibility and accuracy. Success here would justify a future clinical trial of DSA-based flow measurement.;The results of our study will be used to determine whether our global approach can provide reliable flow quantification in a clinical situation. The approach is innovative, because it uses global information to reliably measurement the blood flow rate in DSA. The proposed research is significant, because it is expected to rapidly produce reliable flow measurements in all visible vessels to facilitate physician's understanding of patient's vascular status. The novel technique will gap the bridge between the large arteries and micro vessels, providing flow measurements in all visible vessels that can be used to study cerebral hemodynamics. Ultimately, such technique has the potential to alternate clinical decision making for better treatment prognosis to reduce healthcare cost in treating cerebral vascular diseases.
機(jī)譯：在介入式數(shù)字減影血管造影（DSA）中如何完成血流量化以為醫(yī)師提供解釋患者血管健康的測(cè)量方法方面存在根本的差距。這種差距的持續(xù)存在是一個(gè)重要的問(wèn)題，因?yàn)樵谔钛a(bǔ)之前，醫(yī)生只能依靠強(qiáng)度變化的定性信息來(lái)了解由介入治療引起的血流變化。長(zhǎng)期目標(biāo)是轉(zhuǎn)變DSA，即金定性血流評(píng)估的標(biāo)準(zhǔn)，并納入可以在血管內(nèi)干預(yù)中做出臨床決策的全自動(dòng)定量測(cè)量工具。當(dāng)前的方法側(cè)重于使用來(lái)自單個(gè)血管的信號(hào)來(lái)確定血流，但由于幀速慢而未能成功。;我們的中心假設(shè)是，一種根本不同的流量量化方法，同時(shí)使用來(lái)自整個(gè)圖像集的所有信息為了克服緩慢的DSA幀速率，將在所有血管中提供可靠的血流測(cè)量。近期目標(biāo)是創(chuàng)建提出的全樹(shù)DSA血流測(cè)量方法，并測(cè)試其可行性和準(zhǔn)確性。這里的成功將證明未來(lái)基于DSA的流量測(cè)量的臨床試驗(yàn)是正確的。我們的研究結(jié)果將用于確定我們的整體方法能否在臨床情況下提供可靠的流量定量。該方法具有創(chuàng)新性，因?yàn)樗褂萌中畔?lái)可靠地測(cè)量DSA中的血液流速。這項(xiàng)擬議的研究意義重大，因?yàn)樗型谒锌梢?jiàn)血管中快速產(chǎn)生可靠的流量測(cè)量結(jié)果，以幫助醫(yī)師了解患者的血管狀況。這項(xiàng)新技術(shù)將在大動(dòng)脈和微血管之間架起橋梁，在所有可見(jiàn)血管中提供流量測(cè)量結(jié)果，可用于研究腦血流動(dòng)力學(xué)。最終，這種技術(shù)具有改變臨床決策以更好地治療預(yù)后，降低治療腦血管疾病的醫(yī)療費(fèi)用的潛力。

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  • 作者

    Hsu, Chih-Yang.;

  • 作者單位

    University of Illinois at Chicago.;

  • 授予單位 University of Illinois at Chicago.;
  • 學(xué)科 Biomedical engineering.
  • 學(xué)位 Ph.D.
  • 年度 2017
  • 頁(yè)碼 201 p.
  • 總頁(yè)數(shù) 201
  • 原文格式 PDF
  • 正文語(yǔ)種 eng
  • 中圖分類 遙感技術(shù);
  • 關(guān)鍵詞

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