AIMC Topic: Radionuclide Imaging

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Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR.

PloS one Oct 12, 2022
The segmentation of medical and dental images is a fundamental step in automated clinical decision support systems. It supports the entire clinical workflow from diagnosis, therapy planning, intervention, and follow-up. In this paper, we propose a no...
Skull Radionuclide Imaging Artificial Intelligence Image Processing, Computer-Assisted Cone-Beam Computed Tomography Head
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Improving Image Quality and Reducing Scan Time for Synthetic MRI of Breast by Using Deep Learning Reconstruction.

BioMed research international Aug 26, 2022
OBJECTIVES: To investigate a deep learning reconstruction algorithm to reduce the time of synthetic MRI (SynMRI) scanning on the breast and improve the image quality.
Magnetic Resonance Imaging Signal-To-Noise Ratio Middle Aged Deep Learning Algorithms Female Humans Radionuclide Imaging
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Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation.

European journal of nuclear medicine and molecular imaging Jul 9, 2022
Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as it will in everyday life. In this review, we focus on the potential applications of AI in the field, both from a physical (radiomics, underlying statistics...
Molecular Imaging Artificial Intelligence Radionuclide Imaging Humans Image Processing, Computer-Assisted Nuclear Medicine
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Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction.

IEEE transactions on medical imaging Jun 1, 2022
The interpretation and analysis of Magnetic resonance imaging (MRI) benefit from high spatial resolution. Unfortunately, direct acquisition of high spatial resolution MRI is time-consuming and costly, which increases the potential for motion artifact...
Radionuclide Imaging Magnetic Resonance Imaging Signal-To-Noise Ratio Neural Networks, Computer Brain Humans
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Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines).

Journal of nuclear medicine : official publication, Society of Nuclear Medicine May 26, 2022
An important need exists for strategies to perform rigorous objective clinical-task-based evaluation of artificial intelligence (AI) algorithms for nuclear medicine. To address this need, we propose a 4-class framework to evaluate AI algorithms for p...
Radionuclide Imaging Nuclear Medicine Artificial Intelligence Algorithms
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Australian perspectives on artificial intelligence in medical imaging.

Journal of medical radiation sciences Apr 15, 2022
INTRODUCTION: While artificial intelligence (AI) and recent developments in deep learning (DL) have sparked interest in medical imaging, there has been little commentary on the impact of AI on imaging technologists. The aim of this survey was to unde...
Artificial Intelligence Deep Learning Australia Humans Radiography Radionuclide Imaging
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Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network.

Scientific reports Mar 22, 2022
Reverse transcription-polymerase chain reaction is currently the gold standard in COVID-19 diagnosis. It can, however, take days to provide the diagnosis, and false negative rate is relatively high. Imaging, in particular chest computed tomography (C...
Radionuclide Imaging Tomography, X-Ray Computed COVID-19 Testing Artificial Intelligence COVID-19 Humans
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Deep learning-based attenuation correction for whole-body PET - a multi-tracer study with F-FDG,  Ga-DOTATATE, and F-Fluciclovine.

European journal of nuclear medicine and molecular imaging Mar 12, 2022
UNLABELLED: A novel deep learning (DL)-based attenuation correction (AC) framework was applied to clinical whole-body oncology studies using F-FDG,  Ga-DOTATATE, and F-Fluciclovine. The framework used activity (λ-MLAA) and attenuation (µ-MLAA) maps e...
Positron-Emission Tomography Fluorodeoxyglucose F18 Positron Emission Tomography Computed Tomography Radiopharmaceuticals Radionuclide Imaging Humans Deep Learning Image Processing, Computer-Assisted Neoplasms
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Deep learning-based detection of parathyroid adenoma by Tc-MIBI scintigraphy in patients with primary hyperparathyroidism.

Annals of nuclear medicine Feb 18, 2022
OBJECTIVE: It is important to detect parathyroid adenomas by parathyroid scintigraphy with 99m-technetium sestamibi (Tc-MIBI) before surgery. This study aimed to develop and validate deep learning (DL)-based models to detect parathyroid adenoma in pa...
Aged Sensitivity and Specificity Middle Aged Deep Learning Male Humans Female Parathyroid Glands Radionuclide Imaging Hyperparathyroidism, Primary Adenoma Parathyroid Neoplasms Technetium Tc 99m Sestamibi Technetium Radiopharmaceuticals
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Artificial intelligence for nuclear medicine in oncology.

Annals of nuclear medicine Jan 14, 2022
As in all other medical fields, artificial intelligence (AI) is increasingly being used in nuclear medicine for oncology. There are many articles that discuss AI from the viewpoint of nuclear medicine, but few focus on nuclear medicine from the viewp...
Radionuclide Imaging Nuclear Medicine Artificial Intelligence Humans Diagnosis, Computer-Assisted Medical Oncology
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