Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI
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Summary
ZeDD CT produces natural-looking and quantitatively accurate pseudo-CT images and reduces error in pelvic PET/MRI attenuation correction compared with standard methods.
- Type
- article
- Published
- 2017-10-30
- Cited by
- 218
- References
- 46
- Access
- Open access
- OpenAlex
- https://openalex.org/W2765429622
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:19063319
Keywords
Correction for attenuation, Nuclear medicine, Magnetic resonance imaging, Echo time, Attenuation
References
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- MRI-Based Attenuation Correction for Whole-Body PET/MRI: Quantitative Evaluation of Segmentation- and Atlas-Based Methods
- Characterization of 1H NMR Signal in Human Cortical Bone for Magnetic Resonance Imaging
- Attenuation Correction Methods Suitable for Brain Imaging with a PET/MRI Scanner: A Comparison of Tissue Atlas and Template Attenuation Map Approaches
Cited by
- Attenuation Correction for Brain PET Imaging Using Deep Neural Network Based on Dixon and ZTE MR Images
- Generating retinal flow maps from structural optical coherence tomography with artificial intelligence
- Improving the Accuracy of Simultaneously Reconstructed Activity and Attenuation Maps Using Deep Learning
- Deep learning with convolutional neural network in radiology
- Zero TE‐based pseudo‐CT image conversion in the head and its application in PET/MR attenuation correction and MR‐guided radiation therapy planning
- Deep learning for staging liver fibrosis on CT: a pilot study
- Hybrid Imaging: Instrumentation and Data Processing
- Adaptive template generation for amyloid PET using a deep learning approach
- Personalizing Medicine Through Hybrid Imaging and Medical Big Data Analysis
- Applications of PET-MRI in Musculoskeletal Disease
- Clinical PET/MRI: 2018 Update.
- A deep learning approach for 18F-FDG PET attenuation correction
- Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy
- Capturing Bone Signal in MRI of Pelvis, as a Large FOV Region, Using TWIST Sequence and Generating a 5-Class Attenuation Map for Prostate PET/MRI Imaging
- From simultaneous to synergistic MR‐PET brain imaging: A review of hybrid MR‐PET imaging methodologies
- Synthesis of Patient-Specific Transmission Data for PET Attenuation Correction for PET/MRI Neuroimaging Using a Convolutional Neural Network
- Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction
- Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI‐guided radiation planning in the pelvic region
- Emerging Role of MRI in Radiation Therapy
- Synthetic CT Generation Using MRI with Deep Learning: How Does the Selection of Input Images Affect the Resulting Synthetic CT?
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