FrequencyCT: Frequency domain pseudo-label generation for self-supervised low-dose CT denoising

• URL: http://arxiv.org/abs/2605.10583v1
• Date: Mon, 11 May 2026 13:55:03 GMT
• Title: FrequencyCT: Frequency domain pseudo-label generation for self-supervised low-dose CT denoising
• Abstract summary: FrequencyCT is the first zero-shot self-supervised method for pseudo-label generation in the frequency domain for low-dose CT denoising.<n>Phase-preserving amplitude modulation and mask perturbation in the high-frequency region generate pseudo-label data for self-supervision.
• Score: 8.709309633329585
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Despite extensive research on computed tomography (CT) denoising, few studies exploit projection-domain data characteristics to mitigate noise correlation. To address this, this work proposes FrequencyCT, the first zero-shot self-supervised method for pseudo-label generation in the frequency domain for low-dose CT denoising. Leveraging the characteristic of the frequency domain that largely isolates noise from clean signals, a regional low-frequency anchoring technique is proposed. Phase-preserving amplitude modulation and mask perturbation in the high-frequency region generate pseudo-label data for self-supervision. The fluctuating noise variance in the projection domain prompts truncation of the generated samples to stabilize the network's optimization gradient. Evaluation results on multiple public and real-world datasets confirm the clinical application potential of this research, which will have a revolutionary impact on the field of denoising. The code can be obtained from https://github.com/yqx7150/FrequencyCT.

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