TY - GEN
T1 - SAMF-Net
T2 - 23rd IEEE International Symposium on Biomedical Imaging, ISBI 2026
AU - Wang, Chang
AU - Zou, Wenxuan
AU - Zhou, Guangxing
AU - Zhang, Xun
AU - Jing, Yang
AU - An, Yu
AU - Li, Weihua
AU - Tang, Zhenchao
AU - Tian, Jie
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - Magnetic Particle Imaging (MPI) is an emerging non-invasive imaging modality for real-time superparamagnetic iron oxide nanoparticles (SPIONs) visualization, with great oncology potential. However, its inherently ill-posed reconstruction suffers severe SNR degradation, artifacts, resolution loss, and quantification inaccuracy at low concentrations. For the ISBI LCR-MPI Challenge, which requires high-fidelity reconstruction from low-concentration free-field line (FFL) MPI data, we propose a novel framework integrating targeted data augmentation, two-stage attention-based reconstruction, segmentation guidance, and multi-harmonic fusion. Our method achieves 0.684 SSIM and 20.32 dB PSNR on the challenge datasets, ranking 4th, and provides a feasible solution for low-to-high concentration MPI image reconstruction.
AB - Magnetic Particle Imaging (MPI) is an emerging non-invasive imaging modality for real-time superparamagnetic iron oxide nanoparticles (SPIONs) visualization, with great oncology potential. However, its inherently ill-posed reconstruction suffers severe SNR degradation, artifacts, resolution loss, and quantification inaccuracy at low concentrations. For the ISBI LCR-MPI Challenge, which requires high-fidelity reconstruction from low-concentration free-field line (FFL) MPI data, we propose a novel framework integrating targeted data augmentation, two-stage attention-based reconstruction, segmentation guidance, and multi-harmonic fusion. Our method achieves 0.684 SSIM and 20.32 dB PSNR on the challenge datasets, ranking 4th, and provides a feasible solution for low-to-high concentration MPI image reconstruction.
UR - https://www.scopus.com/pages/publications/105041636656
U2 - 10.1109/ISBI61048.2026.11516071
DO - 10.1109/ISBI61048.2026.11516071
M3 - 会议稿件
AN - SCOPUS:105041636656
T3 - Proceedings - International Symposium on Biomedical Imaging
BT - ISBI 2026 - 23rd IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
Y2 - 8 April 2026 through 11 April 2026
ER -