ReviewPET clinics2021
3D/4D Reconstruction and Quantitative Total Body Imaging.
Review in PET clinics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 16 citations in OpenAlex.
- Impact of deep learning denoising on kinetic modelling for low-dose dynamic PET: application to single- and dual-tracer imaging protocols.European journal of nuclear medicine and molecular imaging · 2025Article
- Expert consensus on workflow of PET/CT with long axial field-of-view.European journal of nuclear medicine and molecular imaging · 2025Review
- EXPLORing Arthritis with Total-body Positron Emission Tomography.Seminars in musculoskeletal radiology · 2023Review
- Framing protocol optimization in oncological Patlak parametric imaging with uKinetics.EJNMMI physics · 2023Article
- Characterization and Assessment of Projection Probability Density Function and Enhanced Sampling in Self-Collimation SPECT.IEEE transactions on medical imaging · 2023Article
- Total-BodyJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022Observational
- Artificial Intelligence and Positron Emission Tomography Imaging Workflow:: Technologists' Perspective.PET clinics · 2022Review
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 at 3 institutions in 1 country.
Funding
Abstract
Total-body PET image reconstruction follows a similar procedure to the image reconstruction process for standard whole-body PET scanners. One unique aspect of total-body imaging is simultaneous coverage of the entire human body, which makes it convenient to perform total-body dynamic PET scans. Therefore, four-dimensional dynamic PET reconstruction and parametric imaging are of great interest in total-body imaging. This article covers some basics of PET image reconstruction and then focuses on three- and four-dimensional PET reconstruction for total-body imaging. Methods for image formation from raw measurements in total-body PET are described. Challenges and opportunities in total-body PET image reconstruction are discussed.
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.