ReviewCurrent cardiology reports2017
Enhancing Cardiac PET by Motion Correction Techniques.
Review in Current cardiology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
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
31 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Role ofJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019Pooled it
- Meta-analysis of 18F-FDG PET/CT in the diagnosis of infective endocarditis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019Pooled it
- Coronary artery disease imaging with total-body PET.The British journal of radiology · 2026Review
- The Role of Motion Correction Tools in Left Ventricular Functional Parameters Measured by Gated [Diagnostics (Basel, Switzerland) · 2026Article
- Data-Driven Motion Correction Algorithm: Validation in [Journal of clinical medicine · 2026Article
- Motion study on upright patient positioning in walk-through PET: evaluation in a clinical setting.EJNMMI physics · 2025Article
- Emerging Applications of Positron Emission Tomography in Coronary Artery Disease.Journal of personalized medicine · 2025Review
- Quantitative analysis of patient motion in walk-through PET scanner and standard axial field of view pet scanner using infrared-based tracking.EJNMMI physics · 2024Article
- TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction.Medical image analysis · 2024Article
- Motion-correction strategies for enhancing whole-body PET imaging.Frontiers in nuclear medicine · 2024Article
- Phenotyping heart failure by nuclear imaging of myocardial perfusion, metabolism, and molecular targets.European heart journal. Cardiovascular Imaging · 2023Review
- Fully Automated, Fast Motion Correction of Dynamic Whole-Body and Total-Body PET/CT Imaging Studies.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023Article
- Effect of respiratory motion correction and CT-based attenuation correction on dual-gated cardiac PET image quality and quantification.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- Motion correction and its impact on quantification in dynamic total-body 18F-fluorodeoxyglucose PET.EJNMMI physics · 2022Article
- Influences on PET Quantification and Interpretation.Diagnostics (Basel, Switzerland) · 2022Review
- A preliminary evaluation of a high temporal resolution data-driven motion correction algorithm for rubidium-82 on a SiPM PET-CT system.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning.IEEE transactions on medical imaging · 2021Article
- Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Dynamic cardiac PET motion correction using 3D normalized gradient fields in patients and phantom simulations.Medical physics · 2021Article
- Review
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
Abstract
purpose of reviewCardiac positron emission tomography (PET) images often contain errors due to cardiac, respiratory, and patient motion during relatively long image acquisition. Advanced motion compensation techniques may improve PET spatial resolution, eliminate potential artifacts, and ultimately improve the research and clinical capabilities of PET. RECENT
findingsCombined cardiac and respiratory gating has only recently been implemented in clinical PET systems. Considering that the gated image bins contain much lower counts than the original PET data, they need to be summed after correcting for motion, forming motion-corrected, high-count image volume. Furthermore, automated image registration techniques can be used to correct for motion between CT attenuation scan and PET acquisition. While motion correction methods are not yet widely used in clinical practice, approaches including dual-gated non-rigid motion correction and the incorporation of motion correction information into the reconstruction process have the potential to markedly improve cardiac PET imaging.
Indexed as
Identifiers
28185169What 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.