可解释波形变压器增强的框架用于无监督可变形图像注册
Xinhao Bai1,2,3, Hongpeng Wang1,2,3, Yanding Qin1,2,3
1College of Artificial Intelligence, Nankai University, Tianjin, China.
Medical physics
|October 8, 2025
概括
使用离散波形变压器的新可变形图像注册框架WaveMorph有效捕获多尺度细节,以改进MRI分析. 这种可解释的方法超过了当前最先进的技术.
科学领域:
- 医疗成像医学成像
- 计算解剖学的计算解剖学
- 机器学习 机器学习
背景情况:
- 变形图像注册 (DIR) 对于临床诊断和干预中的定量分析至关重要.
- 目前的DIR方法在高频多尺度数据上扎,由于有限的变形学习约束,缺乏可解释性.
研究的目的:
- 介绍WaveMorph,一个新的DIR框架,利用离散波形变压器.
- 通过提高封装高频多尺度数据的能力和确保可解释性来增强DIR.
主要方法:
- WaveMorph使用基于波形模块的模块,具有可解释的数学公式.
- 离散波形变压器 (DWFormer) 编码器捕获用于信息保护特征编码的多尺度细节.
- 一个反向波纹变换向上采样 (IWTU) 解码器使用粗到细的方法精确地重建了位移向量场.
主要成果:
- 在OASIS,IXI,LPBA40和MMWHS数据集上对WaveMorph进行了评估.
- 与TransMorph,TransMatch和UTSRMorph等最先进的方法相比,拟议的方法显示出更高的性能.
结论:
- 基于波形变压器的网络对于可变形的MRI注册是有效的.
- WaveMorph擅长捕捉多个尺度的特征,并提供强大的解释性,解决现有的DIR技术的局限性.
相关概念视频
Transformations of Functions III
174
Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...
174
Continuous -time Fourier Transform
828
The Fourier series is instrumental in representing periodic functions, offering a powerful method to decompose such functions into a sum of sinusoids. This technique, however, necessitates modification when applied to nonperiodic functions. Consider a pulse-train waveform consisting of a series of rectangular pulses. When these pulses have a finite period, they can be accurately represented by a Fourier series. Yet, as the period approaches infinity, resulting in a single, isolated pulse, the...
828
Deconvolution
543
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
543


