West J, Fitzpatrick J M, Wang M Y, Dawant B M, Maurer C R, Kessler R M, Maciunas R J, Barillot C, Lemoine D, Collignon A, Maes F, Suetens P, Vandermeulen D, van den Elsen P A, Napel S, Sumanaweera T S, Harkness B, Hemler P F, Hill D L, Hawkes D J, Studholme C, Maintz J B, Viergever M A, Malandain G, Woods R P
Department of Computer Science, Vanderbilt University, Nashville, TN 37235, USA.
J Comput Assist Tomogr. 1997 Jul-Aug;21(4):554-66. doi: 10.1097/00004728-199707000-00007.
The primary objective of this study is to perform a blinded evaluation of a group of retrospective image registration techniques using as a gold standard a prospective, marker-based registration method. To ensure blindedness, all retrospective registrations were performed by participants who had no knowledge of the gold standard results until after their results had been submitted. A secondary goal of the project is to evaluate the importance of correcting geometrical distortion in MR images by comparing the retrospective registration error in the rectified images, i.e., those that have had the distortion correction applied, with that of the same images before rectification.
Image volumes of three modalities (CT, MR, and PET) were obtained from patients undergoing neurosurgery at Vanderbilt University Medical Center on whom bone-implanted fiducial markers were mounted. These volumes had all traces of the markers removed and were provided via the Internet to project collaborators outside Vanderbilt, who then performed retrospective registrations on the volumes, calculating transformations from CT to MR and/ or from PET to MR. These investigators communicated their transformations again via the Internet to Vanderbilt, where the accuracy of each registration was evaluated. In this evaluation, the accuracy is measured at multiple volumes of interest (VOIs), i.e., areas in the brain that would commonly be areas of neurological interest. A VOI is defined in the MR image and its centroid c is determined. Then, the prospective registration is used to obtain the corresponding point c' in CT or PET. To this point, the retrospective registration is then applied, producing c" in MR. Statistics are gathered on the target registration error (TRE), which is the distance between the original point c and its corresponding point c".
This article presents statistics on the TRE calculated for each registration technique in this study and provides a brief description of each technique and an estimate of both preparation and execution time needed to perform the registration.
Our results indicate that retrospective techniques have the potential to produce satisfactory results much of the time, but that visual inspection is necessary to guard against large errors.
本研究的主要目的是使用前瞻性、基于标记的配准方法作为金标准,对一组回顾性图像配准技术进行盲法评估。为确保盲法,所有回顾性配准均由对金标准结果不知情的参与者进行,直至他们提交结果之后。该项目的次要目标是通过比较校正后的图像(即已应用失真校正的图像)与校正前相同图像的回顾性配准误差,评估校正磁共振图像中几何失真的重要性。
从范德比尔特大学医学中心接受神经外科手术且植入了骨 fiducial 标记的患者获取了三种模态(CT、MR 和 PET)的图像体积。这些体积去除了所有标记痕迹,并通过互联网提供给范德比尔特以外的项目合作者,他们随后对这些体积进行回顾性配准,计算从 CT 到 MR 和/或从 PET 到 MR 的变换。这些研究者再次通过互联网将他们的变换发送给范德比尔特,在那里评估每次配准的准确性。在该评估中,准确性在多个感兴趣体积(VOI)处测量,即大脑中通常为神经学感兴趣区域的区域。在 MR 图像中定义一个 VOI 并确定其质心 c。然后,使用前瞻性配准在 CT 或 PET 中获取相应点 c'。至此,应用回顾性配准,在 MR 中产生 c"。收集关于目标配准误差(TRE)的统计数据,TRE 是原始点 c 与其对应点 c"之间的距离。
本文呈现了本研究中为每种配准技术计算的 TRE 的统计数据,并简要描述了每种技术以及执行配准所需的准备和执行时间估计。
我们的结果表明,回顾性技术在很多时候有可能产生令人满意的结果,但需要目视检查以防止出现大的误差。