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文档Implicit Neural Representation in Medical Imaging: A Comparative Survey
ICCV 2023 CVAMD Workshop
:fire::fire: This is a collection of awesome articles about Implicit Neural Representation networks in medical imaging:fire::fire:
:loudspeaker: Our review paper published on arXiv: Implicit Neural Representation in Medical Imaging: A Comparative Survey :heart:
Citation
@inproceedings{molaei2023implicit,
title={Implicit neural representation in medical imaging: A comparative survey},
author={Molaei, Amirali and Aminimehr, Amirhossein and Tavakoli, Armin and Kazerouni, Amirhossein and Azad, Bobby and Azad, Reza and Merhof, Dorit},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages={2381--2391},
year={2023}
}
Introduction
Implicitly representing image signals has gained popularity in recent years for a broad range of medical imaging applications. The most motivating reasons are the following:
- Memory efficiency: The amount of memory demanded to represent the signal is not restricted by the signal's resolution.
- Unlimited Resolution: They take values in the continuous domain, meaning they can generate values for coordinates in-between the pixel or voxel-wise grid
- Effective data usage: They can learn to handle reconstruction and synthesis tasks without high-cost external annotation.
Which all are significantly important for developing an automatic medical system.
With the aim of providing easier access for researchers, this repo contains a comprehensive paper list of Implicit Neural Representations in Medical Imaging, including papers, codes, and related websites.
We considered a sum of 86 research papers spanning from 2021 to 2023.
papers
Here, we taxonomize studies that integrate implicit representations into building medical analysis models.- Image Reconstruction
- Image Segmentation
- Image Registration
- Neural Rendering
- Image Compression
- Image Synthesis
(Each section is ordered by the publication dates)
Image Reconstruction
Tomography and CT
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📜 IntraTomo: Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction
- 🗓️ Publication Date: 9th Feb. 2021
- 📖 Proceedings: IEEE/CVF International Conference on Computer Vision, 2021
- 🧑🔬 Authors: Guangming Zang, Ramzi Idoughi, Rui Li, Peter Wonka, Wolfgang Heidrich
- 📌 Highlight: Uses coordinate-based neural representations for CT reconstructions, capturing details often overlooked by standard deep learning. It's self-supervised, using the scanned object's own projections as training data, and further refined with geometric techniques.
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📜 CoIL: Coordinate-based Internal Learning for Imaging Inverse Problems
- 🗓️ Publication Date: 9th Feb. 2021
- 📖 Journal: IEEE Transactions on Computational Imaging, 2021
- 🧑🔬 Authors: Yu Sun, Jiaming Liu, Mingyang Xie, Brendt Wohlberg, Ulugbek S. Kamilov
- 💻 GitHub
- 📌 Highlight: Takes measurement coordinates, such as view angle θ and spatial location l in CT scans, as its input, then outputs the corresponding sensor responses for these coordinates, creating an implicit neural representation of the measurement field.
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📜 Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields
- 🗓️ Publication Date: 23th Apr. 2021
- 📖 Proceedings: IEEE/CVF International Conference on Computer Vision, 2021
- 🧑🔬 Authors: Albert W. Reed, Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley, Jingu Kang, Suren Jayasuriya
- 📌 Highlight: Uses implicit neural representations (INRs) for 4D-CT reconstruction. Paired with a parametric motion field, they estimate evolving 3D objects. Using a differentiable Radon transform, reconstructions are synthesized and compared with x-ray data, improving reconstruciton quality without training data.
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📜 Neural Computed Tomography
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📜 Streak artifacts reduction algorithm using an implicit neural representation in sparse-view CT
- 🗓️ Publication Date: 4th Apr. 2022
- 📖 Conference: Medical Imaging 2022: Physics of Medical Imaging, 2022
- 🧑🔬 Authors: Byeongjoon Kim, Hyunjung Shim, Jongduk Baek
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📜 Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography
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📜 OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields
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📜 NeuRec: Incorporating Interpatient prior to Sparse-View Image Reconstruction for Neurorehabilitation
- 🗓️ Publication Date: 21th Feb. 2022
- 📖 Journal: BioMed Research International, 2022
- 🧑🔬 Authors: Cong Liu, Qingbin Wang, Jing Zhang
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📜 MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images.
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📜 UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography
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📜 Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
- 🗓️ Publication Date: 27th Jun. 2023
- 📖 Preprint: arXiv
- 🧑🔬 Authors: Qing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou, Jingyi Yu, Yuyao Zhang
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📜 NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
MRI
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📜 An Arbitrary Scale Super-Resolution Approach for 3-Dimensional Magnetic Resonance Image using Implicit Neural Representation
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📜 IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation
- 🗓️ Publication Date: 29th Jun. 2021
- 🧑🔬 Authors: Qing Wu, Yuwei Li, Lan Xu, Ruiming Feng, Hongjiang Wei, Qing Yang, Boliang Yu, Xiaozhao Liu, Jingyi Yu, Yuyao Zhang
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📜 MRI Super-Resolution using Implicit Neural Representation with Frequency Domain Enhancement
- 🗓️ Publication Date: Aug. 2022
- 🧑🔬 Authors: Shuangming Mao, Seiichiro Kamata
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📜 NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI
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📜 Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
- 🗓️ Publication Date: 31th Dec. 2022
- 🧑🔬 Authors: Jie Feng, Ruimin Feng, Qing Wu, Zhiyong Zhang, Yuyao Zhang, Hongjiang Wei
- 📄 [PDF](Link to PDF)
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📜 Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging
- 🗓️ Publication Date: 16th Dec. 2022
- 📖 Conference: International Conference on Information Processing in Medical Imaging, 2023
- 🧑🔬 Authors: Wenqi Huang, Hongwei Li, Jiazhen Pan, Gastao Cruz, Daniel Rueckert, Kerstin Hammernik
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📜 Continuous longitudinal fetus brain atlas construction via implicit neural representation
- 🗓️ Publication Date: 14th Sep. 2022
- 🧑🔬 Authors: Lixuan Chen, Jiangjie Wu, Qing Wu, Hongjiang Wei, Yuyao Zhang
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📜 Multi-contrast MRI Super-resolution via Implicit Neural Representations
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📜 Streak artifacts reduction algorithm using an implicit neural representation in sparse-view CT.
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📅 Publication Date: 4th Apr., 2022
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📖 Journal: Medical Imaging 2022: Physics of Medical Imaging, 2022
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🧑🔬 Authors: Byeongjoon Kim, Hyunjung Shim, Jongduk Baek.
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📄 PDF
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📜 Spatial Attention-based Implicit Neural Representation for Arbitrary Reduction of MRI Slice Spacing
- 🗓️ Publication Date: 23rd May. 2022
- 🧑🔬 Authors: Xin Wang, Sheng Wang,
