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Use of imaging-based dosimetry for personalising radiopharmaceutical therapy of cancer
Theranostics – i.e., the combination of molecular imaging and radiopharmaceutical therapy of cancer targeting a common biological feature – is a...
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Age Prediction Based on Brain MRI Image: A Survey
Human age prediction is an interesting and applicable issue in different fields. It can be based on various criteria such as face image, DNA...
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Matrix Metalloproteinase-Targeted SPECT/CT Imaging for Evaluation of Therapeutic Hydrogels for the Early Modulation of Post-Infarct Myocardial Remodeling
Following myocardial infarction (MI), maladaptive upregulation of matrix metalloproteinase (MMP) alters extracellular matrix leading to cardiac...
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Dose predictions for [177Lu]Lu-DOTA-panitumumab F(ab′)2 in NRG mice with HNSCC patient-derived tumour xenografts based on [64Cu]Cu-DOTA-panitumumab F(ab′)2 – implications for a PET theranostic strategy
BackgroundEpidermal growth factor receptors (EGFR) are overexpressed on many head and neck squamous cell carcinoma (HNSCC). Radioimmunotherapy (RIT)...
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Comprehensive SPECT/CT system characterization and calibration for 177Lu quantitative SPECT (QSPECT) with dead-time correction
BackgroundPersonalization of 177 Lu-based radionuclide therapy requires implementation of dosimetry methods that are both accurate and practical...
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Radiomics on routine T1-weighted MRI can delineate Parkinson’s disease from multiple system atrophy and progressive supranuclear palsy
ObjectivesThis study aimed to explore the feasibility of radiomics features extracted from T1-weighted MRI images to differentiate Parkinson’s...
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Quantitative imaging biomarkers in nuclear medicine: from SUV to image mining studies. Highlights from annals of nuclear medicine 2018
ObjectiveQuantification in medical imaging is one of the main goals in research and clinical practice since it allows immediate understanding,...
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Data Curation for Preclinical and Clinical Multimodal Imaging Studies
PurposeIn biomedical research, imaging modalities help discover pathological mechanisms to develop and evaluate novel diagnostic and theranostic...
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Predicting survival and local control after radiochemotherapy in locally advanced head and neck cancer by means of computed tomography based radiomics
PurposeTo appraise the ability of a radiomics signature to predict clinical outcome after definitive radiochemotherapy (RCT) of stage III–IV head and...
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Assessment of a novel 32-channel phased array for cardiovascular hybrid PET/MRI imaging: MRI performance
BackgroundCardiovascular imaging using hybrid positron emission tomography (PET) and magnetic resonance imaging (MRI) requires a radio frequency...
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Explainable AI to improve acceptance of convolutional neural networks for automatic classification of dopamine transporter SPECT in the diagnosis of clinically uncertain parkinsonian syndromes
PurposeDeep convolutional neural networks (CNN) provide high accuracy for automatic classification of dopamine transporter (DAT) SPECT images....
