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3D reconstruction of blood vessels by data fusion from angiographic and echographic images

机译:通过血管造影和回波描记图像的数据融合进行血管三维重建

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摘要

Three-dimensional reconstruction of vascular lesions is of great medical interestudfor diagnosis and prognosis of the atheromateous disease, as well as for audbetter understanding of restenosis phenomena related to the revascularisationudtechniques. In order to provide a quantitative description of the geometry ofudcomplex atheromateous lesions, we propose an original approach for 3D vesseludsurface reconstruction, which relies on fusion of data obtained with both digitaludangiography and intravascular echography. This method is based on a first stepudconsisting of a geometrical modelization of acquisitions and data, which yields audfirst rough reconstruction by geometrical fusion of the parameters extracted fromudthe vessel contours obtained from both modalities which provides, by interpolationudof echographic contours, the 3D surface of the vessel lumen . The next stepudconsists in taking into account the imprecision on the parameters estimatedudduring the first step. For this task, we propose an original method based on audmodelization of parameters as fuzzy numbers which allows to introduce, throughudfuzzy mathematical morphology, the imprecision on the acquisitions and on the 3Duddata. This provides a 3D reconstruction which takes into account all data aboutudthe problem . The first results prove clearly the feasibility of the method and theudinterest of using information issued from different modalities for improving theud3D reconstruction of blood vessels, without any a priori mathematical model ofudvessel morphology. The explicite introduction of imprecisions in the fusion processudallows to eliminate ambiguities and contradictions we would obtain in a simpleudreconstruction from only one modality, and leads to a decision about the trueudmorphology of vessels.
机译:血管病变的三维重建对于动脉粥样硬化疾病的诊断和预后以及对与血管重建技术有关的再狭窄现象的更好理解,具有重要的医学意义。为了定量描述 udplex动脉粥样硬化病变的几何形状,我们提出了一种3D血管 udsurface重建的原始方法,该方法依赖于通过数字 udangiography和血管内回波描记术获得的数据的融合。该方法基于第一步由采集和数据的几何模型组成,其通过对从两种模式获得的血管轮廓提取的参数进行几何融合来进行第一粗略的重构,再通过内插 udof超声成像轮廓,血管腔的3D表面。下一步要考虑到在第一步中估计的参数的不精确性。对于此任务,我们提出了一种基于参数作为模糊数的 u建模的原始方法,该方法允许通过 udfuzzy数学形态学引入对采集和3D uddata的不精确性。这提供了3D重构,其中考虑了有关问题的所有数据。最初的结果清楚地证明了该方法的可行性,并且使用了从不同方式获得的信息来改善血管的ud3D重建,而没有任何关于血管形态的先验数学模型。在融合过程中显式引入不精确性,以消除我们仅通过一种模态进行简单的 udreconstruction就会获得的歧义和矛盾,并导致对血管的真实 udmorphology的决定。

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