ArticleScientific reports2022
An image registration method for voxel-wise analysis of whole-body oncological PET-CT.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 44 citations in OpenAlex.
- H&E-Referenced Multiplex Immunofluorescence Interpretation in TMA Cores: Spatial Co-localization, Cell Feature Validation, and Virtual H&E Generation.Research square · 2026Article
- A Novel Marker-Based Registration Method for Simultaneous Preclinical PET/MR with a Non-Stationary PET Detector.Research square · 2026Article
- A method for tissue-mask supported whole-body image registration in the UK Biobank.Scientific reports · 2026Article
- Validation of a Deep-Learning Coregistration Framework for Long-Axial-Field-of-View PET/CT Using Low-Radiation-Exposure Protocols Across Various Tracers.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Article
- Interpretable predictions from whole-body FDG-PET/CT using parameters associated with clinical outcome.Communications medicine · 2026Article
- A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.Scientific reports · 2026Article
- CONReg: Uncertainty-Aware Medical Image Registration Using Conformal Prediction.Journal of imaging informatics in medicine · 2026Article
- coPERCIST: AI-assisted PET-CT response assessment.European journal of nuclear medicine and molecular imaging · 2026Article
- Tumor-conditioned inter-patient registration using planning computed tomography for voxel-based analysis to predict radiation pneumonitis in lung cancer patients.Physics and imaging in radiation oncology · 2026Article
- Normal twin PET: personalized generative modeling for confounder correction and anomaly detection in whole-body PET/CT.Scientific reports · 2025Article
- Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.Heliyon · 2025Article
- Towards H&E Referenced Multiplex Immunofluorescence Interpretation: Spatial Co-localization, Cell Feature Validation, and Virtual H&E Generation.Research square · 2025Article
- Using UK Biobank data to establish population-specific atlases from whole body MRI.Communications medicine · 2024Article
- Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies.Biomedical engineering online · 2024Article
- Spatial mapping of tumor heterogeneity in whole-body PET-CT: a feasibility study.Biomedical engineering online · 2023Article
- A whole-body diffusion MRI normal atlas: development, evaluation and initial use.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
- Image Registration in Longitudinal Bone Assessment Using Computed Tomography.Current osteoporosis reports · 2023Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Whole-body positron emission tomography-computed tomography (PET-CT) imaging in oncology provides comprehensive information of each patient's disease status. However, image interpretation of volumetric data is a complex and time-consuming task. In this work, an image registration method targeted towards computer-aided voxel-wise analysis of whole-body PET-CT data was developed. The method used both CT images and tissue segmentation masks in parallel to spatially align images step-by-step. To evaluate its performance, a set of baseline PET-CT images of 131 classical Hodgkin lymphoma (cHL) patients and longitudinal image series of 135 head and neck cancer (HNC) patients were registered between and within subjects according to the proposed method. Results showed that major organs and anatomical structures generally were registered correctly. Whole-body inverse consistency vector and intensity magnitude errors were on average less than 5 mm and 45 Hounsfield units respectively in both registration tasks. Image registration was feasible in time and the nearly automatic pipeline enabled efficient image processing. Metabolic tumor volumes of the cHL patients and registration-derived therapy-related tissue volume change of the HNC patients mapped to template spaces confirmed proof-of-concept. In conclusion, the method established a robust point-correspondence and enabled quantitative visualization of group-wise image features on voxel level.
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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.