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MinT:磁共振图像通过解解剖结构和对比度进行无监督翻译

Hanbyol Jang¹, Hyeongyu Kim², Sewon Kim³

¹School of Electrical and Electronic Engineering, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea; LG Electronics, Seocho-gu, Seoul, 06772, Republic of Korea.

Computers in biology and medicine

|July 23, 2025

概括

这项研究引入了一种无监督的磁共振 (MR) 图像对图像转换方法,产生了新的对比图像,没有扭曲. 该技术有效地保留了解剖结构,并在不同的MR对比度中进行了概括.

科学领域:

计算机视觉计算机视觉
医疗成像医学成像
人工智能的人工智能

背景情况:

无监督的图像对图像翻译在计算机视觉中对于合成新型图像至关重要.
获取多对比磁共振 (MR) 图像往往是困难和耗时的.
现有的方法可能在翻译过程中难以保持解剖完整性.

研究的目的:

开发一种无监督的MR图像到图像转换方法.
从现有图像中合成新的对比图像,同时保持解剖结构.
为了应对多对比度MR图像采集的挑战.

主要方法:

一种新的网络架构,采用带有区分器的编码器-解码器结构.
编码器从对比表示中解脱了解剖学特征.
新的损失函数旨在确保解剖学保存和准确的对比翻译.

主要成果:

提出的方法成功地合成了新的MR对比图像,没有扭曲.
定量和定性评估显示,与现有方法相比,性能优越.
这种方法表明了跨不同解剖区域和MR对比类型的概括性.

结论:

开发的无监督MR图像到图像翻译方法是有效和稳固的.
这种技术提供了一个有价值的解决方案,用于生成所需的MR对比度,当获取具有挑战性时.
该方法在医学成像合成中显示出更广泛应用的前景.

关键词:

没有了,没有了,没有了.多对比的MRI是多对比的风格转移风格转移无监督的图像对图像翻译

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