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Conversion method of magnetic resonance sequence based on detail enhancement
- Chinese Journal of Intelligent Science and Technology Vol. 3, Issue 1, Pages: 93-100(2021)
- 作者机构：
1. 浙江大学计算机辅助设计与图形学国家重点实验室，浙江 杭州 310058
2. 浙江大学伊利诺伊大学厄巴纳香槟校区联合学院，浙江 杭州 314400
- 作者简介：
- 基金信息：
DOI：10.11959/j.issn.2096-6652.202110
CLC： R445.2-
Published Online：2021-03，
Published：15 March 2021
- 稿件说明：
移动端阅览
Fan YAN, Yining DI, Jianwei ZHANG, et al. Conversion method of magnetic resonance sequence based on detail enhancement[J]. Chinese journal of intelligent science and technology, 2021, 3(1): 93-100.
Fan YAN, Yining DI, Jianwei ZHANG, et al. Conversion method of magnetic resonance sequence based on detail enhancement[J]. Chinese journal of intelligent science and technology, 2021, 3(1): 93-100. DOI： 10.11959/j.issn.2096-6652.202110.
摘要
磁共振（MR）是一种被广泛使用的医学成像方式。针对某些序列的 MR 影像不易直接获得、需要由其他序列的MR影像转换的问题，提出一种基于细节增强的MR序列转换方法。该方法基于条件生成对抗网络构建了残差模板合成模块 ResGAN和细节增强合成模块 EnGAN，设计了一种端到端的网络结构。在一组配准过的神经纤维瘤T1序列影像和STIR序列影像上进行了测试，结果表明，相比于现有方法，提出的方法更好地还原了边界细节和信号强度细节。
Abstract
Magnetic resonance (MR) is a widely used medical imaging method.However
MR images of certain modalities are not easy to obtain directly and thus need to be converted from other modality.To solve these problem
a conversion method of MR sequence based on detail enhancement was proposed.The proposed method constructed an end-to-end network with two conditional GAN-based modules: resiguals template generation module (ResGAN) and detail enhancement module (EnGAN).The proposed method are tested on a set of registered neurofibroma T1 and STIR images
which demonstrate that the proposed method can restore boundary details and signal intensity details better than other existing methods.
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references
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