P-030基于体素的囊内动脉瘤和装置体积填充计算

S. Schwartz, B. Fennell, C. Settanni, N. Norris, T. Becker
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引用次数: 0

摘要

颅内动脉瘤有多种栓塞技术。动脉瘤囊的精确体积测量可以帮助改进栓塞技术,如:线圈、液体栓塞、血流干扰器和血流分流器。动脉瘤的大小和体积信息有助于介入医生评估治疗前的血流和稳定性以及治疗后潜在的残留或再通风险。材料和方法本研究项目应用基于体素的体积计算,从CT或MRI医学成像数据,确定准确的三维动脉瘤体积计算。此外,该应用程序还可以显示临床相关参数,如动脉瘤颈直径、穹窿高度和中线穹窿宽度(用于穹窿:颈(D:N)比计算)。为了开发测量技术,使用西门子Inveon Micro-CT扫描仪(University of Arizona tir, Tucson, AZ)扫描宽颈犬动脉瘤模型(n=10),并使用InVesalius 3.0软件(巴西卫生部)进行分析。软件加载成像数据,离散囊内动脉瘤,将设备体积与动脉瘤囊分离。将该数据与切除动脉瘤的物理测量值和校准的二维血管造影图像进行比较。结果:与动脉瘤形成手术中记录的测量结果相比,Invesalius图像处理技术有助于确定动脉瘤的区域,体积误差小于5%。目前在二维平面上的测量技术误差高达30%。这项技术有助于确定动脉瘤的宏观特性,以及异常动脉瘤形状的体积。该软件还用于测量输送到10个犬动脉瘤的液体栓塞剂(neuroure)的填充率。在所有10例病例中,neuroure的精确输送导致90100%的动脉瘤囊填充,而传统缠绕技术的填充率< 30%。结论随着新型动脉瘤治疗设备的发展和动脉瘤囊填充率的提高,对动脉瘤体积精确计算的需求将是重中之重。该项目汇集了临床和工程专业知识,将医学成像数据直接转化为具有高度精确计算的体积测量,这是目前2d血管造影图像无法实现的。通过基于体素的体积计算来测量动脉瘤的大小和尺寸特性,为动脉瘤评估提供了快速、可靠和可重复的资源。这项技术将帮助介入医师适当地评估各种动脉瘤形态的风险和治疗方案。S. Schwartz: 1;C;5R42NS097069-03 (NIH Grant#))。B.芬内尔:1;C;5R42NS097069-03 (NIH Grant #)。C. Settanni: 1;C;5R42NS097069-03 (NIH Grant #)。N.诺里斯:1;C;5R42NS097069-03 (NIH Grant #)。贝克尔:1;C;5R42NS097069-03 (NIH Grant #)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
P-030 Voxel-based calculations of intrasaccular aneurysm and device volume fill
Introduction Various embolization techniques are available for intracranial aneurysms. The precise volume measurement of an aneurysm sac can help improve embolization techniques, such as: coils, liquid embolics, flow disruptors, and flow diverters. Aneurysm sizing and volumetric information help interventionalists assess flow and stability pre-treatment and potential remnant or recanalization risks post-treatment. Materials and Methods This research project applies voxelbased volume calculations, from CT or MRI medical imaging data, to determine accurate 3-D aneurysm volume calculations. Additionally, the application can display clinically relevant parameters, such as aneurysm neck diameter, dome height and midline-dome width (for dome:neck (D:N) ratio calculations). To develop the measurement techniques, wide-neck canine aneurysm models (n=10) were scanned with a Siemens Inveon Micro-CT scanner (University of Arizona TBIR, Tucson, AZ) and analyzed with InVesalius 3.0 software (Ministry of Health, Brazil). The software loads the imaging data, discretizes the intrasaccular aneurysm, separating the device volume from the aneurysm sac. This data was compared to physical measurements of excised aneurysms and calibrated 2-D angiographic images. Results Invesalius image processing techniques helped determine the domain of aneurysms with less than 5% volumetric error, when compared to measurements recorded during the aneurysm creation surgery. Current measurement techniques in 2-D planes have errors as high as 30%. This technique helps determine the macroscopic properties of aneurysms, as well as the volumes of abnormal aneurysm shapes. The software was also used to measure% fill of a liquid embolic (NeuroCURE) delivered to the 10 canine aneurysms. In all 10 cases the precise delivery of NeuroCURE resulted in 90100% aneurysm sac filling, versus < 30% for traditional coiling techniques. Conclusion As new aneurysm treatment devices are developed and greater% fill of the aneurysm sac is attempted, the need for precise aneurysm volume calculations will be of high priority. This project brings together clinical and engineering expertise to translate medical imaging data directly into volumetric measurements with highly precise calculations that are currently not available from 2-D angiographic images. Measuring the size and dimensional properties of aneurysms with voxel-based volume calculations provides a fast, reliable and repeatable resource for aneurysm assessment. This technique will help interventionalists appropriately assess risk and treatment options for a broad range of aneurysm morphologies. Disclosures S. Schwartz: 1; C; 5R42NS097069-03 (NIH Grant#)). B. Fennell: 1; C; 5R42NS097069-03 (NIH Grant #). C. Settanni: 1; C; 5R42NS097069-03 (NIH Grant #). N. Norris: 1; C; 5R42NS097069-03 (NIH Grant #). T. Becker: 1; C; 5R42NS097069-03 (NIH Grant #).
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