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模拟具有已知体积变化和图像强度逼真变化的纵向脑磁共振成像。

Simulating Longitudinal Brain MRIs with Known Volume Changes and Realistic Variations in Image Intensity.

作者信息

Khanal Bishesh, Ayache Nicholas, Pennec Xavier

机构信息

Asclepios, INRIA Sophia Antipolis Mediterrané Sophia Antipolis, France.

出版信息

Front Neurosci. 2017 Mar 22;11:132. doi: 10.3389/fnins.2017.00132. eCollection 2017.

Abstract

This paper presents a simulator tool that can simulate large databases of visually realistic longitudinal MRIs with known volume changes. The simulator is based on a previously proposed biophysical model of brain deformation due to atrophy in AD. In this work, we propose a novel way of reproducing realistic intensity variation in longitudinal brain MRIs, which is inspired by an approach used for the generation of synthetic cardiac sequence images. This approach combines a deformation field obtained from the biophysical model with a deformation field obtained by a non-rigid registration of two images. The combined deformation field is then used to simulate a new image with specified atrophy from the first image, but with the intensity characteristics of the second image. This allows to generate the realistic variations present in real longitudinal time-series of images, such as the independence of noise between two acquisitions and the potential presence of variable acquisition artifacts. Various options available in the simulator software are briefly explained in this paper. In addition, the software is released as an open-source repository. The availability of the software allows researchers to produce tailored databases of images with ground truth volume changes; we believe this will help developing more robust brain morphometry tools. Additionally, we believe that the scientific community can also use the software to further experiment with the proposed model, and add more complex models of brain deformation and atrophy generation.

摘要

本文介绍了一种模拟器工具,它可以模拟具有已知体积变化的视觉逼真的纵向磁共振成像(MRI)大型数据库。该模拟器基于先前提出的因阿尔茨海默病(AD)萎缩导致脑变形的生物物理模型。在这项工作中,我们提出了一种在纵向脑MRI中再现逼真强度变化的新方法,该方法受到用于生成合成心脏序列图像的一种方法的启发。这种方法将从生物物理模型获得的变形场与通过两幅图像的非刚性配准获得的变形场相结合。然后,使用组合变形场从第一幅图像模拟具有指定萎缩但具有第二幅图像强度特征的新图像。这使得能够生成真实纵向图像时间序列中存在的逼真变化,例如两次采集之间噪声的独立性以及可变采集伪影的潜在存在。本文简要解释了模拟器软件中可用的各种选项。此外,该软件作为开源存储库发布。该软件的可用性使研究人员能够生成具有真实体积变化的定制图像数据库;我们相信这将有助于开发更强大的脑形态测量工具。此外,我们相信科学界也可以使用该软件对提出的模型进行进一步实验,并添加更复杂的脑变形和萎缩生成模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dd9/5360759/c5de93a1a1b7/fnins-11-00132-g0001.jpg

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