ReviewMagma (New York, N.Y.)2013
MRI for attenuation correction in PET: methods and challenges.
Review in Magma (New York, N.Y.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
88 citing papers in PubMed.
- Beyond CT: Attenuation correction for stand-alone brain PET.Zeitschrift fur medizinische Physik · 2026Review
- A proof-of-concept study of multitask learning for cranial synthetic CT generation across heterogeneous MRI field strengths.Medical physics · 2026Article
- Using multimodal PET+MR data as conditional generative adversarial network inputs improves pseudo-CT and attenuation correction estimates for brain PET/MR.American journal of nuclear medicine and molecular imaging · 2026Article
- The Development and Challenges of PET/MRI Dual-Modality Imaging Probes-An Update.Journal of magnetic resonance imaging : JMRI · 2025Review
- The first human study of add-on PET: A PET-integrated RF coil for 3 T MRI.EJNMMI physics · 2025Article
- Improved Quantification of MicroPET/CT Imaging Using CT-derived Scaling Factors.Molecular imaging and biology · 2024Article
- Learning CT-free attenuation-corrected total-body PET images through deep learning.European radiology · 2024Article
- Context-Aware Transformer GAN for Direct Generation of Attenuation and Scatter Corrected PET Data.IEEE transactions on radiation and plasma medical sciences · 2024Article
- Generating PET Attenuation Maps via Sim2Real Deep Learning-Based Tissue Composition Estimation Combined with MLACF.Journal of imaging informatics in medicine · 2024Article
- Improved Quantification of MicroPET/CT Imaging Using CT-derived Scaling Factors.Research square · 2023Article
- A review of PET attenuation correction methods for PET-MR.EJNMMI physics · 2023Review
- SPECT/CT, PET/CT and PET/MRI: oncologic and infectious applications and protocol considerations.Pediatric radiology · 2023Review
- Effects of dynamic [Frontiers in nuclear medicine · 2023Article
- Attenuation Correction Using Template PET Registration for Brain PET: A Proof-of-Concept Study.Journal of imaging · 2022Article
- Attenuation correction for PET/MRI to measure tracer activity surrounding total knee arthroplasty.European journal of hybrid imaging · 2022Article
- A deep learning-based whole-body solution for PET/MRI attenuation correction.EJNMMI physics · 2022Article
- Emerging role of integrated PET-MRI in osteoarthritis.Skeletal radiology · 2021Review
- Quantitative and qualitative evaluation of sequential PET/MRI using a newly developed mobile PET system for brain imaging.Japanese journal of radiology · 2021Article
- Applications of artificial intelligence in nuclear medicine image generation.Quantitative imaging in medicine and surgery · 2021Review
- Attenuation correction using deep Learning and integrated UTE/multi-echo Dixon sequence: evaluation in amyloid and tau PET imaging.European journal of nuclear medicine and molecular imaging · 2021Article
28 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In current combined PET/MR systems, PET attenuation correction is based on MRI, since the small bore inside MRI systems and the strong magnetic field do not permit a rotating PET transmission source or a CT device to be integrated. Unlike CT measurements in PET/CT scanners, the MR signal is not directly correlated to tissue density and thus cannot be converted by a simple transformation of intensity values. Various approaches have been developed based on templates, atlas information, direct segmentation of T1-weighted MR images, or segmentation of images from special MR sequences. The advantages and disadvantages of these approaches as well as additional challenges will be discussed in this review.
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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.