AIMC Topic: Imaging, Three-Dimensional

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Smartphone-based scans of palate models of newborns with cleft lip and palate: Outlooks for three-dimensional image capturing and machine learning plate tool.

Orthodontics & craniofacial research Sep 22, 2024
OBJECTIVES: To evaluate the performance of smartphone scanning applications (apps) in acquiring 3D meshes of cleft palate models. Secondarily, to validate a machine learning (ML) tool for computing automated presurgical plate (PSP).
Imaging, Three-Dimensional Smartphone Mobile Applications Cleft Lip Humans Cleft Palate Machine Learning Models, Anatomic Infant, Newborn
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The Promise of Artificial Intelligence in Peyronie's Disease.

Current urology reports Sep 21, 2024
PURPOSE OF REVIEW: The application of artificial intelligence (AI) to enhance clinical decision-making in Peyronie's disease (PD) has generated significant interest. This review explores the current landscape of AI in PD evaluation.
Imaging, Three-Dimensional Penile Induration Humans Artificial Intelligence Clinical Decision-Making Male
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GC-WIR : 3D global coordinate attention wide inverted ResNet network for pulmonary nodules classification.

BMC pulmonary medicine Sep 20, 2024
PURPOSE: Currently, deep learning methods for the classification of benign and malignant lung nodules encounter challenges encompassing intricate and unstable algorithmic models, limited data adaptability, and an abundance of model parameters.To tack...
Deep Learning Imaging, Three-Dimensional Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans
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Automated Deep Learning-Based Finger Joint Segmentation in 3-D Ultrasound Images With Limited Dataset.

Ultrasonic imaging Sep 19, 2024
Ultrasound imaging has shown promise in assessing synovium inflammation associated early stages of rheumatoid arthritis (RA). The precise identification of the synovium and the quantification of inflammation-specific imaging biomarkers is a crucial a...
Humans Arthritis, Rheumatoid Synovial Membrane Deep Learning Finger Joint Female Ultrasonography Male Imaging, Three-Dimensional Middle Aged
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Rapid CNN-based needle localization for automatic slice alignment in MR-guided interventions using 3D undersampled radial white-marker imaging.

Medical physics Sep 18, 2024
BACKGROUND: In MR-guided in-bore percutaneous needle interventions, typically 2D interactive real-time imaging is used for navigating the needle into the target. Misaligned 2D imaging planes can result in losing visibility of the needle in the 2D ima...
Automation Needles Phantoms, Imaging Animals Time Factors Imaging, Three-Dimensional Magnetic Resonance Imaging Neural Networks, Computer Algorithms Swine
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Neural network reconstruction of the left atrium using sparse catheter paths.

International journal of computer assisted radiology and surgery Sep 16, 2024
PURPOSE: Catheter-based radiofrequency ablation for pulmonary vein isolation has become the first line of treatment for atrial fibrillation in recent years. This requires a rather accurate map of the left atrial sub-endocardial surface including the ...
Catheter Ablation Pulmonary Veins Humans Neural Networks, Computer Algorithms Imaging, Three-Dimensional Atrial Fibrillation Heart Atria
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TAG-SPARK: Empowering High-Speed Volumetric Imaging With Deep Learning and Spatial Redundancy.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 16, 2024
Two-photon high-speed fluorescence calcium imaging stands as a mainstream technique in neuroscience for capturing neural activities with high spatiotemporal resolution. However, challenges arise from the inherent tradeoff between acquisition speed an...
Animals Deep Learning Imaging, Three-Dimensional Algorithms Purkinje Cells Mice Calcium Signal-To-Noise Ratio
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Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma.

Abdominal radiology (New York) Sep 14, 2024
OBJECTIVE: To develop and compare various preoperative cervical stromal invasion (CSI) prediction models, including radiomics, three-dimensional (3D) deep transfer learning (DTL), and integrated models, using single-sequence and multiparametric MRI.
Humans Retrospective Studies Female Contrast Media Multiparametric Magnetic Resonance Imaging Magnetic Resonance Imaging Cervix Uteri Image Interpretation, Computer-Assisted Aged Middle Aged Neoplasm Invasiveness Endometrial Neoplasms Adult Deep Learning Predictive Value of Tests Radiomics Imaging, Three-Dimensional
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Deep learning constrained compressed sensing reconstruction improves high-resolution three-dimensional (3D) T2-weighted turbo spin echo magnetic resonance imaging (MRI) of the lumbar spine.

Clinical radiology Sep 14, 2024
AIM: We sought to assess the image quality of three-dimensional (3D) T2-weighted (T2w) turbo spin echo (TSE) sequences with deep learning (DL)-constrained compressed sensing (CS) reconstruction relative to a reference two-dimensional (2D) T2w TSE seq...
Middle Aged Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Lumbar Vertebrae Humans Aged, 80 and over Image Interpretation, Computer-Assisted Female Adult Aged Male
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Automatic 3D pelvimetry framework in CT images and its validation.

Scientific reports Sep 13, 2024
In the field of spinal pathology, sagittal balance of the spine is usually judged by the spatial structure and morphology of pelvis, which can be represented by pelvic parameters. Pelvic parameters, including pelvic incidence, pelvic tilt and sacral ...
Tomography, X-Ray Computed Female Adult Humans Algorithms Imaging, Three-Dimensional Pelvis Femur Head Pelvimetry Male Middle Aged Deep Learning
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