ArticleIEEE transactions on medical imaging2017
Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer.
Article in IEEE transactions on medical imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Improving the Quality of Brain PET Images Using MR-Guided PET Reconstruction Technique With Integrated PET/MR.Human brain mapping · 2025Article
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- Fast PET reconstruction with variance reduction and prior-aware preconditioning.Frontiers in nuclear medicine · 2025Article
- Super-resolution techniques for biomedical applications and challenges.Biomedical engineering letters · 2024Review
- Resolution enhancement, noise suppression, and joint T2* decay estimation in dual-echo sodium-23 MR imaging using anatomically guided reconstruction.Magnetic resonance in medicine · 2024Article
- Volumetric Patch-Based Super-Resolution Reconstruction of HyperpolarizedIEEE access : practical innovations, open solutions · 2024Article
- SPECT reconstruction with a trained regularizer using CT-side information: Application toIEEE transactions on computational imaging · 2023Article
- VSGD-Net: Virtual Staining Guided Melanocyte Detection on Histopathological Images.IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision · 2023Article
- Fast and memory-efficient reconstruction of sparse Poisson data in listmode with non-smooth priors with application to time-of-flight PET.Physics in medicine and biology · 2022Article
- Isotropic multichannel total variation framework for joint reconstruction of multicontrast parallel MRI.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Joint multi-field TMagnetic resonance in medicine · 2021Article
- Core Imaging Library - Part II: multichannel reconstruction for dynamic and spectral tomography.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Article
- Di-chromatic interpolation of magnetic resonance metabolic images.Magma (New York, N.Y.) · 2021Article
- Approximating anatomically-guided PET reconstruction in image space using a convolutional neural network.NeuroImage · 2021Article
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- Article
- Joint multi-contrast variational network reconstruction (jVN) with application to rapid 2D and 3D imaging.Magnetic resonance in medicine · 2020Article
- TGV-regularized inversion of the Radon transform for photoacoustic tomography.Biomedical optics express · 2020Article
- Effect of PET-MR Inconsistency in the Kernel Image Reconstruction Method.IEEE transactions on radiation and plasma medical sciences · 2019Article
- Magnetic Resonance Fingerprinting: Implications and Opportunities for PET/MR.IEEE transactions on radiation and plasma medical sciences · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
While current state of the art MR-PET scanners enable simultaneous MR and PET measurements, the acquired data sets are still usually reconstructed separately. We propose a new multi-modality reconstruction framework using second order Total Generalized Variation (TGV) as a dedicated multi-channel regularization functional that jointly reconstructs images from both modalities. In this way, information about the underlying anatomy is shared during the image reconstruction process while unique differences are preserved. Results from numerical simulations and in-vivo experiments using a range of accelerated MR acquisitions and different MR image contrasts demonstrate improved PET image quality, resolution, and quantitative accuracy.
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Registered trials
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