Abstract
In positron emission tomography (PET), gating is commonly utilized to reduce respiratory motion blurring and to facilitate motion correction methods. In application where low-dose gated PET is useful, reducing injection dose causes increased noise levels in gated images that could corrupt motion estimation and subsequent corrections, leading to inferior image quality. To address these issues, we propose MDPET, a unified motion correction and denoising adversarial network for generating motion-compensated low-noise images from low-dose gated PET data. Specifically, we proposed a Temporal Siamese Pyramid Network (TSP-Net) with basic units made up of 1.) Siamese Pyramid Network (SP-Net), and 2.) a recurrent layer for motion estimation among the gates. The denoising network is unified with our motion estimation network to simultaneously correct the motion and predict a motion-compensated denoised PET reconstruction. The experimental results on human data demonstrated that our MDPET can generate accurate motion estimation directly from low-dose gated images and produce high-quality motion-compensated low-noise reconstructions. Comparative studies with previous methods also show that our MDPET is able to generate superior motion estimation and denoising performance. Our code is available at https://github.com/bbbbbbzhou/MDPET.
Highlights
P OSITRON emission tomography (PET) is a commonly used functional imaging modality with wide applications in oncology, cardiology, neurology, and biomedical research
After applying the MDPETpredicted transformation fields, as illustrated in the fourth row, the differences in H were significantly reduced for the gates with large position difference
We proposed a unified motion estimation and denoising adversarial network, called MDPET, for generating motion-compensated low-noise PET image from low-dose respiratory gated PET
Summary
P OSITRON emission tomography (PET) is a commonly used functional imaging modality with wide applications in oncology, cardiology, neurology, and biomedical research. PET scans require injection of a small amount of radioactive tracer to patients, introducing radiation exposure to both patients and healthcare providers. By reducing the administered injection dose, low-dose PET is of-great-interests according to the As Low As Reasonably Achievable concept (ALARA) [1], in particular for applications of serial PET scans to measure response to therapy. Since the data acquisition typically takes 10 to 20 minutes, the patient’s respiratory motion in the thorax and upper abdomen areas inevitably introduces blurring in the. Chen are with the Department of Biomedical Engineering, Yale University, New Haven, CT, 06511, USA
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