Department of Medical Informatics, University Medical Center Hamburg-Eppendorf, Bldg. W36, Martinistraße 52, 20246, Hamburg, Germany.
Neuroradiology. 2012 Feb;54(2):171-6. doi: 10.1007/s00234-011-0836-4. Epub 2011 Jan 18.
A fast and reproducible quantification of the recurrence volume of coiled aneurysms is required to enable a more timely evaluation of new coils. This paper presents two registration schemes for the semi-automatic quantification of aneurysm recurrence volumes based on baseline and follow-up 3D MRA TOF datasets.
The quantification of shape changes requires a previous definition of corresponding structures in both datasets. For this, two different rigid registration methods have been developed and evaluated. Besides a state-of-the-art rigid registration method, a second approach integrating vessel segmentations is presented. After registration, the aneurysm recurrence volume can be calculated based on the difference image. The computed volumes were compared to manually extracted volumes.
An evaluation based on 20 TOF MRA datasets (baseline and follow-up) of ten patients showed that both registration schemes are generally capable of providing sufficient registration results. Regarding the quantification of aneurysm recurrence volumes, the results suggest that the second segmentation-based registration method yields better results, while a reduction of the computation and interaction time is achieved at the same time.
The proposed registration scheme incorporating vessel segmentation enables an improved quantification of recurrence volumes of coiled aneurysms with reduced computation and interaction time.
为了更及时地评估新的线圈，需要快速且可重复地量化已绕圈动脉瘤的复发体积。本文提出了两种基于基线和随访 3D MRA TOF 数据集的半自动化动脉瘤复发体积定量配准方案。
形态变化的量化需要在两个数据集上预先定义相应的结构。为此，开发并评估了两种不同的刚性配准方法。除了一种最先进的刚性配准方法外，还提出了一种集成血管分割的第二种方法。配准后，可以基于差值图像计算动脉瘤复发体积。计算出的体积与手动提取的体积进行了比较。
基于十个患者的 20 个 TOF MRA 数据集（基线和随访）的评估表明，两种配准方案通常都能够提供足够的配准结果。关于动脉瘤复发体积的定量，结果表明，基于分割的第二种配准方法可以产生更好的结果，同时还可以减少计算和交互时间。
所提出的结合血管分割的配准方案能够以更少的计算和交互时间来提高已绕圈动脉瘤复发体积的定量能力。
