Obtaining high accuracy measurements of medical stents from 2D X-ray images

Oxford Heartbeat（OxHB）是一家早期创业公司，致力于开发创新技术，使心血管手术更加高效和有效。我们正在开发软件，帮助外科医生计划和排练血管内的微创支架植入-目前最流行的治疗常见心血管疾病。该软件允许外科医生模拟不同支架在患者解剖结构中的适应性和行为，并为每位患者选择最佳手术方案。该软件将安装在医院并用于手术准备，减少并发症的数量以及相关的医院和社会成本。在开发了用于在大脑中放置脑支架的最小可行产品之后，下一阶段是验证我们模拟结果的准确性。由于我们是在手术领域内开展业务，因此该技术提供高度准确的结果以可靠地支持临床决策至关重要。因此，我们需要将模拟结果与真实的临床结果进行比较。为了与我们的模拟进行比较，我们需要测量真实的支架装置的配置，这些支架装置已经在患者体内使用临床上可用的历史二维扫描--解决这一复杂的测量问题是本项目的重点。在拟议的项目中，我们的目标是开发和评估一种新的方法，用于精确测量大脑血液中复杂三维形状的支架的尺寸和位置图10是来自通过X射线血管造影术捕获的患者大脑的2平面投影视图的血管的透视图。国家物理实验室（NPL）将提供精确测量和不确定度量化方面的专业知识。主要活动包括开发新方法，通过使用扫描中存储的元数据将2D患者扫描与术前解剖结构（在我们的软件中构建）对齐，测量支架的参考配置。我们将在合成模型中测试实现精确对准和测量的潜在步骤，然后将其转移到真实的匿名临床图像，最后对主要变量进行不确定性分析。（PoM，2016），生物医学催化剂可行性（BMC-F，2017），以及来自NIHR i4 i Connect和SBRI Healthcare的资金（2018）。我们之前的项目成果获得了众多奖项，包括2017年NHS创新奖（HEE）。Oxford Heartbeat还被Medilink UK评为2017年英国初创企业，并被WIRED评为2018年最佳医疗保健初创企业。"""

"Oxford Heartbeat (OxHB) is an early-stage start-up developing innovative technology to make cardiovascular surgeries more efficient and effective. We are building software that helps surgeons plan and rehearse minimally invasive stent placements inside blood vessels -- currently the most popular treatment for common cardiovascular disorders. The software allows surgeons to simulate how different stents will fit and behave in a patient's anatomy and select the best surgical scenario for every patient. The software will be installed in hospitals and used in surgery preparation, reducing the number of complications and the associated cost to hospitals and society.Having developed the minimal viable product for placements of cerebral stents in the brain, the next stage is to validate the accuracy of our simulated results. Since we are operating within the domain of surgery, it is paramount that the technology delivers highly accurate results to reliably support clinical decision-making. Therefore, we need to compare the results of our simulations with real clinical outcomes. To enable comparison to our simulations, we need to measure the configurations of real stent devices that have been deployed inside patients using clinically available historic 2D scans -- solving this complex measurement problem is the focus of this project.In the proposed project we aim to develop and evaluate a novel methodology for obtaining accurate measurements of the size and position of the complex 3D shape of stents inside brain blood vessels from the 2-plane projection view of the patient's brain captured by X-ray angiography. The expertise in accurate measurements and uncertainty quantifications will be provided by the National Physical Laboratory(NPL).The main activities include developing the new method for measuring the reference configuration of the stent from 2D patient scans by aligning them with preoperative anatomy (constructed in our software) using the metadata stored in the scans. We will test out potential steps to achieve accurate alignment and measurements in a synthetic model, then transfer it to real anonymised clinical images and, finally, perform uncertainty analysis for the main variables.The proposed project builds upon the successfully completed IUK SMART Proof of Market(PoM, 2016), Biomedical Catalyst Feasibility (BMC-F, 2017), as well as funding from NIHR i4i Connect and SBRI Healthcare (2018). The results of our previous projects have received numerous awards, including the NHS Innovation Award 2017(HEE). Oxford Heartbeat was also named the UK Start-up of 2017 at Medilink UK and the WIRED ""Best Healthcare Start-up of 2018."""