课题基金 / 基金详情

项目摘要

项目成果

Nazim Haouchine的其他基金

相似基金

相关文献

中文摘要
翻译
项目摘要 虽然数字减影血管造影(DSA)提供了高分辨率、动态的血流成像 在动脉充盈和静脉引流期间通过大脑,它的获取帧速率目前被限制在1-3 每秒帧,以最大限度地减少患者暴露在辐射中。我们的长期目标是为实现 开发更易于解释的DSA成像技术。我们在这方面的总体目标 应用是:(I)开发一种新技术,能够在不需要采集数据的情况下产生高帧速率的DSA 颠覆当前临床实践,(Ii)评估框架率在纠缠分类中的影响 供引流血管对脑血管畸形的认识。我们的中心假设是 可以对来自实际低帧速率DSA序列的图像进行内插以生成新的中间图像 以任意的高帧速率。这个项目的基本原理是,这种技术可能会提供一种明确的 为临床医生提供可解释的成像工具,有助于神经血管的诊断和规划 法律程序。核心假设将通过追求两个具体目标来检验:1)开发一种技术,以 从低帧速率DSA序列生成高帧速率DSA序列以及2)测试高帧速率DSA 脑部畸形时缠绕供血和引流血管的序列。在第一个下 目的:首先将序列分解为动脉相、毛细血管相和静脉相。接下来,我们将生成一个 限制图像内插的扩散贴图。最后,我们将使用一个非线性图像生成中间图像 基于对比度强度和预置扩散图的插补方法。对于第二个目标,我们将 在缠绕的动脉和静脉上测试我们的方法,并使用各种相似度和 腐败性指标。在我们看来,拟议的项目是创新的,因为它将有可能 从低帧速率采集中自动生成高帧速率DSA序列,同时保持低速率 辐射暴露。我们的解决方案不会改变实际的临床常规,并且是一种软件解决方案,用于 硬件问题。拟议的项目意义重大,因为预计它将提供一个解决方案,通过该解决方案 可以使用实际的临床采集协议来生成高帧速率的DSA序列。结果是 预计将产生重要的积极影响,因为它们最终将为 开发新的解释技术来识别和治疗脑血管畸形。
英文摘要
Project Summary Although Digital Subtraction Angiography (DSA) provides high resolution, dynamic imaging of blood flow through the brain during arterial filling and venous drainage, its acquisition framerate is currently limited to 1-3 frames-per-seconds to minimize patients' exposure to radiation. Our long-term goal is to contribute toward the development of DSA imaging techniques that are more easily interpretable. Our overall objectives in this application are to (i) develop a new technology capable of producing high framerate DSA acquisition without disrupting current clinical practice, (ii) evaluate the influence of framerate in the classification of entangled feeding and draining vessels for the understanding of cerebrovascular malformations. Our central hypothesis is that images from actual low framerate DSA sequences can be interpolated to generate new in-between images at an arbitrary high framerate. The rationale for this project is that such technology will likely provide a clear and interpretable imaging tool to clinicians that will facilitate diagnosis and planning of neurovascular proceedings. The central hypothesis will be tested by pursuing two specific aims: 1) Develop a technique for generating high framerate DSA sequences from low framerate ones and 2) Test high framerate DSA sequences on entangled feeding and draining vessels in the presence of cerebral malformation. Under the first aim, we will first decompose the sequence into arterial, capillary and venous phases. Next, we will generate a diffusion map to constrain image interpolation. Finally, we will generate intermediate images using a non-linear interpolation method based on contrast intensity and the pre-built diffusion map. For the second aim, we will test our approach on entangled arteries and veins and evaluate its accuracy using various similarity and corruptibility metrics. The proposed project is innovative, in our opinion, because it will be possible to automatically generate high frame rate DSA sequences from low frame rate acquisitions while maintaining low radiation exposure. Our solution does not alter the actual clinical routine, and is a software solution to a hardware problem. The proposed project is significant, because it is expected to provide a solution by which a high framerate DSA sequence can be generated using actual clinical acquisition protocols. The results are expected to have an important positive impact because they will ultimately provide new opportunities for the development of novel interpretation techniques to identify and treat cerebrovascular malformations.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1007/978-3-030-87231-1_17
发表时间: 2021-09
期刊: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子: --
作者: [Haouchine N, Juvekar P, Xiong X, Luo J, Kapur T, Du R, Golby A, Frisken S]
通讯作者: Frisken S
Learning Expected Appearances for Intraoperative Registration during Neurosurgery.
了解神经外科手术中术中注册的预期外观。
DOI: 10.1007/978-3-031-43996-4_22
发表时间: 2023
期刊: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子: --
作者: [Haouchine,Nazim, Dorent,Reuben, Juvekar,Parikshit, Torio,Erickson, Wells3rd,WilliamM, Kapur,Tina, Golby,AlexandraJ, Frisken,Sarah]
通讯作者: Frisken,Sarah
DOI: 10.1109/tbme.2021.3113841
发表时间: 2022-04
期刊: IEEE transactions on bio-medical engineering
影响因子: --
作者: []
通讯作者:
Vessel Identification and Tracing in DSA Image Series for Cerebrovascular Surgical Planning
  • 批准号:
    10726103
  • 项目类别:
  • 资助金额:
    $17.9万
  • 财政年份:
    2023
  • 负责人:
    Nazim Haouchine
  • 依托单位:
Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose
  • 批准号:
    10288682
  • 项目类别:
  • 资助金额:
    $8.95万
  • 财政年份:
    2021
  • 负责人:
    Nazim Haouchine
  • 依托单位:
海外基金