AIMC Topic: Pelvis

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Comparison of four synthetic CT generators for brain and prostate MR-only workflow in radiotherapy.

Radiation oncology (London, England) Sep 5, 2023
BACKGROUND: The interest in MR-only workflows is growing with the introduction of artificial intelligence in the synthetic CT generators converting MR images into CT images. The aim of this study was to evaluate several commercially available sCT gen...
Humans Artificial Intelligence Brain Prostate Pelvis Workflow Tomography, X-Ray Computed Male
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Role of puboperinealis and rectourethralis muscles as a urethral support system to maintain urinary continence after robot-assisted radical prostatectomy.

Scientific reports Aug 29, 2023
The present study investigated the role of a urethral support system to maintain urinary continence after robot-assisted radical prostatectomy (RARP), with a focus on pelvic floor muscles, such as the puboperinealis muscle (PPM) and rectourethralis m...
Urethra Pelvis Prostatectomy Humans Robotics Abdominal Muscles Male
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A novel approach for screening standard anteroposterior pelvic radiographs in children.

European journal of pediatrics Aug 24, 2023
UNLABELLED: Anteroposterior pelvic radiography is the first-line imaging modality for diagnosing developmental dysplasia of the hip (DDH). Nonstandard radiographs with pelvic malposition make the correct diagnosis of DDH challenging. However, as the ...
Retrospective Studies Child Pelvis Developmental Dysplasia of the Hip Radiography Humans Artificial Intelligence
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Deep learning-based dose map prediction for high-dose-rate brachytherapy.

Physics in medicine and biology Aug 17, 2023
. Creating a clinically acceptable plan in the time-sensitive clinic workflow of brachytherapy is challenging. Deep learning-based dose prediction techniques have been reported as promising solutions with high efficiency and accuracy. However, curren...
Humans Female Benchmarking Brachytherapy Hypobetalipoproteinemias Deep Learning Pelvis
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Attention-guided multi-scale learning network for automatic prostate and tumor segmentation on MRI.

Computers in biology and medicine Aug 15, 2023
BACKGROUND AND OBJECTIVE: Image-guided clinical diagnosis can be achieved by automatically and accurately segmenting prostate and prostatic cancer in male pelvic magnetic resonance imaging (MRI) images. For accurate tumor removal, the location, numbe...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Male Pelvis Prostatic Neoplasms Prostate
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Machine learning for lumbar and pelvis kinematics clustering.

Computer methods in biomechanics and biomedical engineering Aug 7, 2023
Clustering algorithms such as k-means and agglomerative hierarchical clustering (HCA) may provide a unique opportunity to analyze time-series kinematic data. Here we present an approach for determining number of clusters and which clustering algorith...
Humans Machine Learning Pelvis Biomechanical Phenomena Lumbar Vertebrae Cluster Analysis Algorithms
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Shortening Acquisition Time and Improving Image Quality for Pelvic MRI Using Deep Learning Reconstruction for Diffusion-Weighted Imaging at 1.5 T.

Academic radiology Jul 25, 2023
RATIONALE AND OBJECTIVES: To determine the impact on acquisition time reduction and image quality of a deep learning (DL) reconstruction for accelerated diffusion-weighted imaging (DWI) of the pelvis at 1.5 T compared to standard DWI.
Artifacts Signal-To-Noise Ratio Female Reproducibility of Results Diffusion Magnetic Resonance Imaging Aged Deep Learning Humans Magnetic Resonance Imaging Retrospective Studies Pelvis Male Middle Aged
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BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability.

Medical image analysis Jul 5, 2023
Due to the cross-domain distribution shift aroused from diverse medical imaging systems, many deep learning segmentation methods fail to perform well on unseen data, which limits their real-world applicability. Recent works have shown the benefits of...
Humans Neural Networks, Computer Heart Bayes Theorem Prostate Pelvis Male Image Processing, Computer-Assisted
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Two-stage multi-task deep learning framework for simultaneous pelvic bone segmentation and landmark detection from CT images.

International journal of computer assisted radiology and surgery Jun 15, 2023
PURPOSE: Pelvic bone segmentation and landmark definition from computed tomography (CT) images are prerequisite steps for the preoperative planning of total hip arthroplasty. In clinical applications, the diseased pelvic anatomy usually degrades the ...
Acetabulum Pelvis Hip Deep Learning Image Processing, Computer-Assisted Humans Tomography, X-Ray Computed
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A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality With PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging.

Journal of computer assisted tomography Jun 9, 2023
OBJECTIVES: Evaluate deep learning (DL) to improve the image quality of the PROPELLER (Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction technique) for 3 T magnetic resonance imaging of the female pelvis.
Feasibility Studies Deep Learning Artifacts Magnetic Resonance Imaging Image Enhancement Pelvis Humans Female
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