3D CEREBRAL VESSEL LOCATION FOR SURGICAL PLANNING

描述（改编自申请人摘要）：申请人提出， 提供新的血管成像方法， 准确性和速度，临床医生能够感知复杂 三维血管解剖学 所提出的方法提供了基于树的 血管显示，允许临床医生突出显示任何所需的树 或子树，并从任何所需的位置查看它，或者， 从显示中删除任何所需的树或子树。 所提出的方法还 允许血管造影数据的3-D重建，以便克服常见的 标准三维成像无法显示重要血管的问题 技术. 目标之一是创建一种多模态外科手术 规划工具，应允许改进复杂的三维可视化 血管病变，改善栓塞手术计划， 分析复杂肿瘤。 所提出的方法包括分割 磁共振血管造影（MRA）和从分割的 船舶. 如果需要更多细节，MRA在两个 血管造影图像和所需的血管造影数据被重建成3-D， 建立在MRA提供的基础上。 三维重建 血管造影数据是特别困难的问题，迄今为止， 解决方案。 解决这个问题的方法不同于 这些过去，并使用一种新的图像分析方法， 在分离的投影视图上的点配对，以便分离可以 在投影图像上不能从中得知，并且新的 图像分割和2D-3D配准的核心方法论。 基于核的方法可以有效地分割2-和3-D图像， 噪声和数据模糊。 初步数据包括一些结果， 即时的临床效用，没有其他组已经能够实现。 申请人建议创建多模态手术计划 该计划将用于术前计划， 术中指导。 我们的血管显示的临床效果 方法将通过测量临床医生 评估血管解剖结构及其理解的深度， 我们的计划工具或标准成像数据用于提供血管 信息. 所提出的血管显示能力与 手术和放射外科手术的范围，影响数万人 美国每年的病人。 分割和2D-3D 制定的登记方法应提供一套通用工具， 对许多不同的应用都有价值。

DESCRIPTION (Adapted from Applicant's Abstract): The applicants proposed to provide new methods of vascular imaging which will increase both the accuracy and the speed with which the clinician is able to perceive complex vascular anatomy in 3-D. The proposed approach provides a tree-based vascular display, which permits the clinician to highlight any desired tree or subtree and to view it from any desired position or, alternatively, to delete any desired tree or subtree from display. The proposed approach also permits 3-D reconstruction of angiographic data so as to overcome the common problem of non-visualization of important vessels by standard 3-D imaging techniques. One of the goals is the creation of a multi-modality surgical planning tool which should permit improved 3-D visualization of complex vascular lesions, improved planning for embolization procedures, and better analysis of complex tumors. The proposed methods include segmentation of magnetic resonance angiograms (MRA) and tree creation from the segmented vessels. If more detail is required, the MRA is registered with two angiographic images and desired angiographic data is reconstructed into 3-D, building upon the base provided by the MRA. The 3-D reconstruction of angiographic data is a particularly difficult problem that has, heretofore, defied solution. The proposed approach to the problem is different from those of the past and uses both a new method of image analysis that permits point pairing on separated projection views so as to separate what can be determined from which cannot be known on projection images, and the new approach of core methodology for image segmentation and 2D-3D registration. Core-based methods can effectively segment 2- and 3-D images in the presence of noise and data obscuration. Preliminary data include results, some of immediate clinical utility, that no other group has been able to achieve. The applicants propose creation of a multi-modality surgical planning program that will be of use both for preoperative planning and intraoperative guidance. The clinical efficacy of our vascular display methods will be tested by measuring both the time it takes for clinicians to evaluate vascular anatomy and the depth of their understanding when either our planning tool or standard imaging data is used to provide vascular information. The proposed vascular display abilities are relevant to a range of surgical and radiosurgical procedures, affecting tens of thousands of patients in the United States each year. The segmentation and 2D-3D registration methods developed should provide a general set of tools of value to many different applications.