Jun 27, 2023 · We propose an interframe motion correction framework with Patlak loss optimization integrated into the neural network (MCP-Net).

In this work, we introduce an inter-frame Motion Correction framework with integrated Patlak loss optimization (MCP-. Net) for whole-body dynamic PET. This ...

Jun 9, 2023 · The MCP-Net consists of a multiple-frame motion estimation block, an image-warping block, and an analytical Patlak block that estimates Patlak ...

The MCP-Net consists of a multiple-frame motion estimation block, an image-warping block, and an analytical Patlak block that estimates Patlak fitting using ...

Inter-frame patient motion introduces spatial misalignment and degrades parametric imaging in whole-body dynamic positron emission tomography (PET).

The authors propose an inter-frame motion correction framework called MCP-Net with Patlak regularization and a Patlak loss term to register whole body dynamic ...

Sep 16, 2022 · A Patlak loss penalization term using mean squared percentage fitting error is introduced to the loss function in addition to image similarity ...

We propose an inter-frame Motion Correction framework with Patlak regularization (MCP-Net) to directly optimize the Patlak fitting error and further improve ...

MCP-Net: Introducing Patlak Loss Optimization to Whole-Body Dynamic PET Inter-Frame Motion Correction · Medicine, Computer Science. IEEE Transactions on Medical ...

Jul 3, 2023 · MCP-Net: Introducing Patlak Loss Optimization to Whole-body Dynamic PET Inter-frame Motion Correction Xueqi Guo, Bo Zhou, Xiongchao Chen ...