Suppr超能文献

利用手动前列腺轮廓增强直肠内 MRI 的可变形配准。

Using manual prostate contours to enhance deformable registration of endorectal MRI.

机构信息

Department of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Boulevard, Box 97, Houston, TX 77030-4009, USA.

出版信息

Comput Methods Programs Biomed. 2012 Oct;108(1):330-7. doi: 10.1016/j.cmpb.2012.01.009. Epub 2012 Feb 12.

Abstract

BACKGROUND

Endorectal MRI provides detailed images of the prostate anatomy and is useful for radiation treatment planning. Here we describe a Demons field-initialized B-spline deformable registration of prostate MRI.

MATERIAL AND METHODS

T2-weighted endorectal MRIs of five patients were used. The prostate and the tumor of each patient were manually contoured. The planning MRIs and their segmentations were simulated by warping the corresponding endorectal MRIs using thin plate spline (TPS). Deformable registration was initialized using the deformation field generated using Demons algorithm to map the deformed prostate MRI to the non-deformed one. The solution was refined with B-Spline registration. Volume overlap similarity was used to assess the accuracy of registration and to suggest a minimum margin to account for the registration errors.

RESULTS

Initialization using Demons algorithm took about 15 min on a computer with 2.8 GHz Intel, 1.3 GB RAM. Refinement B-spline registration (200 iterations) took less than 5 min. Using the synthetic images as the ground truth, at zero margin, the average (S.D.) 98 (±0.4)% for prostate coverage was 97 (±1)% for tumor. The average (±S.D.) treatment margin required to cover the entire prostate was 1.5 (±0.2)mm. The average (± S.D.) treatment margin required to cover the tumor was 0.7 (±0.1)mm. We also demonstrated the challenges in registering an in vivo deformed MRI to an in vivo non-deformed MRI.

DISCUSSION

We here present a deformable registration scheme that can overcome large deformation. This platform is expected to be useful for prostate cancer radiation treatment planning.

摘要

背景

直肠内 MRI 可提供前列腺解剖结构的详细图像,对放射治疗计划很有用。在此,我们描述了一种基于 Demons 场初始化的 B 样条变形配准前列腺 MRI 的方法。

材料与方法

使用了 5 名患者的 T2 加权直肠内 MRI。每位患者的前列腺和肿瘤都由手动勾画。通过使用薄板样条(TPS)对相应的直肠内 MRI 进行变形,模拟规划 MRI 及其分割。使用 Demons 算法生成的变形场初始化可变形配准,将变形的前列腺 MRI 映射到未变形的 MRI。使用 B 样条配准对解进行细化。体积重叠相似性用于评估配准的准确性,并建议留出最小的边界以考虑配准误差。

结果

在一台具有 2.8GHz Intel 和 1.3GB RAM 的计算机上,使用 Demons 算法进行初始化大约需要 15 分钟。使用 200 次迭代的细化 B 样条配准(200 次迭代)不到 5 分钟。使用合成图像作为基准,在零边界的情况下,前列腺覆盖率的平均值(标准差)为 97%(±1%),肿瘤覆盖率的平均值(标准差)为 98%(±0.4%)。覆盖整个前列腺所需的平均(标准差)治疗边界为 1.5(±0.2)mm。覆盖肿瘤所需的平均(标准差)治疗边界为 0.7(±0.1)mm。我们还展示了将体内变形的 MRI 配准到体内未变形的 MRI 的挑战。

讨论

我们在此提出了一种可克服大变形的可变形配准方案。该平台有望对前列腺癌放射治疗计划有用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验