ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2019
Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction.
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 60 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
60 citing papers in PubMed, 2 syntheses or guidelines pooled it, 126 citations in OpenAlex.
- A systematic literature review: deep learning techniques for synthetic medical image generation and their applications in radiotherapy.Frontiers in radiology · 2024Pooled it
- Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics.European radiology experimental · 2022Pooled it
- Artificial Intelligence Across the PET Reconstruction Pipeline: An Update.AJR. American journal of roentgenology · 2026Review
- Generalizable CT-free PET attenuation and scatter correction via few-shot cross domain adaptation.NPJ digital medicine · 2026Article
- The Role of Artificial Intelligence in Theranostics.Journal of nuclear medicine technology · 2025Review
- Dosimetric evaluation of synthetic kilo-voltage CT images generated from megavoltage CT for head and neck tomotherapy using a conditional GAN network.Physical and engineering sciences in medicine · 2025Article
- MAN-GAN: a mask-adaptive normalization based generative adversarial networks for liver multi-phase CT image generation.Scientific reports · 2025Article
- Correlations Between MR Apparent Diffusion Coefficients and PET Standard Uptake Values in Simultaneous MR-PET Imaging of Prostate Cancer.International journal of molecular sciences · 2025Article
- Learning CT-free attenuation-corrected total-body PET images through deep learning.European radiology · 2024Article
- Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET.EJNMMI physics · 2024Article
- Context-Aware Transformer GAN for Direct Generation of Attenuation and Scatter Corrected PET Data.IEEE transactions on radiation and plasma medical sciences · 2024Article
- Deep learning-based whole-body PSMA PET/CT attenuation correction utilizing Pix-2-Pix GAN.Oncotarget · 2024Article
- Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept.Cell reports. Medicine · 2024Article
- PET/MRI in colorectal and anal cancers: an update.Abdominal radiology (New York) · 2023Review
- International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology.European journal of nuclear medicine and molecular imaging · 2023Article
- Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial network.European journal of nuclear medicine and molecular imaging · 2023Article
- A review of PET attenuation correction methods for PET-MR.EJNMMI physics · 2023Review
- Generative Adversarial Network-Enhanced Ultra-Low-Dose [AJNR. American journal of neuroradiology · 2023Article
- PET/MRI in practice: a clinical centre survey endorsed by the European Association of Nuclear Medicine (EANM) and the EANM Forschungs GmbH (EARL).European journal of nuclear medicine and molecular imaging · 2023Article
- Pelvic PET/MR attenuation correction in the image space using deep learning.Frontiers in oncology · 2023Article
Corrections and comments
- Erratum issuedErratum.2020
Authors and funding
10 authors at 6 institutions in 3 countries.
Funding
Abstract
Whole-body attenuation correction (AC) is still challenging in combined PET/MR scanners. We describe Dixon-VIBE Deep Learning (DIVIDE), a deep-learning network that allows synthesizing pelvis pseudo-CT maps based only on the standard Dixon volumetric interpolated breath-hold examination (Dixon-VIBE) images currently acquired for AC in some commercial scanners.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.