Suppr超能文献

用于数字重建的离体全层组织学与体内前列腺MRI配准的空间加权互信息(SWMI)

Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI.

作者信息

Patel Pratik, Chappelow Jonathan, Tomaszewski John, Feldman Michael D, Rosen Mark, Shih Natalie, Madabhushi Anant

机构信息

Department of Biomedical Engineering at Rutgers, State University of New Jersey, Piscataway, NJ 08854, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6269-72. doi: 10.1109/IEMBS.2011.6091547.

Abstract

In this work, we present a scheme for the registration of digitally reconstructed whole mount histology (WMH) to pre-operative in vivo multiprotocol prostate MR imagery (T2w and DCE) using spatially weighted mutual information (SWMI). Spatial alignment of ex vivo histological sections to pre-operative in vivo MRI for prostate cancer (CaP) patients undergoing radical prostatectomy is a necessary first step in the discovery of quantitative multiprotocol MRI signatures for CaP. This may be done by spatially mapping delineated extent of disease on ex vivo histopathology onto pre-operative in vivo MRI via image registration. Apart from the challenges in spatially registering multi-modal data (histology and MRI) on account of (a) modality specific differences, (b) deformation due to the endorectal coil and tissue loss on histology, another complication is that the ex vivo histological sections, in the lab, are usually obtained as quadrants. This means they need to be reconstituted as a pseudo-whole mount histologic section (WMHS) prior to registration with MRI. An additional challenge is that most registration techniques rely on availability of the pre-segmented prostate capsule on T2w MRI. The novel contribution of this paper is that it leverages a spatially weighted mutual information (SWMI) scheme to automatically register and map CaP extent from WMHS onto pre-operative, multiprotocol MRI. The SWMI scheme obviates the need for pre-segmentation of the prostate capsule on MRI. Additionally, we leverage a program developed by our group, Histostitcher©, for interactive stitching of individual histology quadrants to digitally reconstruct the pseudo WMHS. Our registration methodology comprises the following main steps, (1) affine registration of T2w and DCE MRI, (2) affine registration of stitched WMHS to multiprotocol T2w and DCE MRI, and (3) multimodal image registration of WMHS to multiprotocol T2w and DCE MRI using SWMI. We quantitatively and qualitatively evaluated all aspects of our methodology in the multimodal registration of a total of 7 corresponding histology and MRI sections from 2 different patients. For the 7 studies, we obtained an average Hausdorff distance of 1.85 mm, mean absolute distance of 0.99 mm, RMS of 1.65 mm, and DICE of 0.83, when comparing the capsular alignment on MRI to histology.

摘要

在这项工作中,我们提出了一种使用空间加权互信息(SWMI)将数字重建的全层组织学(WMH)与术前体内多协议前列腺磁共振成像(T2w和DCE)进行配准的方案。对于接受根治性前列腺切除术的前列腺癌(CaP)患者,将离体组织学切片与术前体内MRI进行空间对齐是发现CaP定量多协议MRI特征的必要第一步。这可以通过图像配准将离体组织病理学上划定的疾病范围在空间上映射到术前体内MRI上来完成。除了由于(a)模态特异性差异、(b)直肠内线圈导致的变形以及组织学上的组织损失而在空间上配准多模态数据(组织学和MRI)时面临的挑战外,另一个复杂情况是,在实验室中,离体组织学切片通常是作为象限获得的。这意味着在与MRI配准之前,需要将它们重建为伪全层组织学切片(WMHS)。另一个挑战是,大多数配准技术依赖于T2w MRI上预先分割的前列腺包膜的可用性。本文的新颖贡献在于,它利用空间加权互信息(SWMI)方案自动将CaP范围从WMHS配准并映射到术前多协议MRI上。SWMI方案无需在MRI上对前列腺包膜进行预先分割。此外,我们利用我们团队开发的程序Histostitcher©对各个组织学象限进行交互式拼接,以数字方式重建伪WMHS。我们的配准方法包括以下主要步骤:(1)T2w和DCE MRI的仿射配准,(2)拼接后的WMHS与多协议T2w和DCE MRI的仿射配准,以及(3)使用SWMI将WMHS与多协议T2w和DCE MRI进行多模态图像配准。我们在对来自2名不同患者的总共7对相应组织学和MRI切片进行多模态配准的过程中,对我们方法的各个方面进行了定量和定性评估。对于这7项研究,在比较MRI上的包膜对齐与组织学时,我们获得的平均豪斯多夫距离为1.85毫米,平均绝对距离为0.99毫米,均方根为1.65毫米,DICE系数为0.83。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验