ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2024
A Deep-Learning-Based Partial-Volume Correction Method for Quantitative
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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Who cites it
27 citing papers in PubMed, 25 citations in OpenAlex.
- Influence of increased injected activities up 9.0 GBq [EJNMMI physics · 2026Article
- Artificial Intelligence Across the Cancer Theranostics Workflow: Critical Appraisal of Current Evidence and Future Clinical Translation.Molecular imaging and biology · 2026Review
- State-of-the-art and future developments in dosimetry for SSTR- and PSMA-targeting radioligand therapies.Zeitschrift fur medizinische Physik · 2026Review
- Applications of artificial intelligence in nuclear medicine.Zeitschrift fur medizinische Physik · 2026Review
- Differential performance of statistical versus machine learning methods in partial volume correction in oncologic F18-FDG PET/CT scanning.Annals of nuclear medicine · 2026Article
- Evolving SPECT-CT technology.The British journal of radiology · 2026Review
- Estimation and Correction of the Partial Volume Effect Using Personalized Phantoms of Lymph Node Metastases in Lutetium 177 SPECT/CT Dosimetry.Molecular imaging and biology · 2026Article
- Multicenter comparison of radionuclide calibrators and SPECT/CT protocols for quantitativeEJNMMI physics · 2026Article
- Investigation of iterative deconvolution inEJNMMI physics · 2026Article
- Impact of partial volume correction on radiomics reproducibility in theranostic SPECT/CT imaging.Medical physics · 2026Article
- Direct estimation of activity concentration in regional voxels with application toMedical physics · 2026Article
- Inter-institutional variability in kidney dosimetry duringRadiological physics and technology · 2026Article
- Critical review of partial volume correction methods in PET and SPECT imaging: benefits, pitfalls, challenges, and future outlook.European journal of nuclear medicine and molecular imaging · 2026Review
- Instrumentation Digital Twins in PET and SPECT Imaging: Current Status, Challenges, and Future Directions.Computational and structural biotechnology journal · 2026Review
- Towards practical radiopharmaceutical treatment planning: a review of dosimetry simplification techniques.Theranostics · 2026Review
- The Role of Artificial Intelligence in Theranostics.Journal of nuclear medicine technology · 2025Review
- Artificial intelligence for radiopharmaceutical and molecular imaging.Acta pharmaceutica Sinica. B · 2025Review
- MIRD Pamphlet No. 33: MIRDpvc-A Software Tool for Recovery Coefficient-Based Partial-Volume Correction.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- On the effect of reference and sample volume on magnetic particle imaging quantification.Journal of magnetism and magnetic materials · 2025Article
- Comparison of scatter and partial volume correction techniques for quantitative SPECT imaging ofEJNMMI physics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the development of new radiopharmaceutical therapies, quantitative SPECT/CT has progressively emerged as a crucial tool for dosimetry. One major obstacle of SPECT is its poor resolution, which results in blurring of the activity distribution. Especially for small objects, this so-called partial-volume effect limits the accuracy of activity quantification. Numerous methods for partial-volume correction (PVC) have been proposed, but most methods have the disadvantage of assuming a spatially invariant resolution of the imaging system, which does not hold for SPECT. Furthermore, most methods require a segmentation based on anatomic information.
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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.