AIMC Topic: Elasticity Imaging Techniques

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Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care.

Scientific reports Feb 21, 2022
For years, hepatologists have been seeking non-invasive methods able to detect significant liver fibrosis. However, no previous algorithm using routine blood markers has proven to be clinically appropriate in primary care. We present a novel approach...
Adult Male Middle Aged Prospective Studies Biomarkers Female Biopsy Asymptomatic Diseases Elasticity Imaging Techniques Primary Health Care Liver Cirrhosis Chronic Disease Humans Artificial Intelligence
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Ultrasound Elastography under Deep Learning Algorithm to Analyze the Therapeutic Effect of Clustered Regularly Interspaced Short Palindromic Repeats Short Hairpin Ribonucleic Acid Nanoparticles on Cervical Cancer.

Journal of healthcare engineering Nov 29, 2021
This study aimed to analyze the effect of the deep learning algorithm on ultrasound elastography on the treatment of cervical cancer with clustered regularly interspaced short palindromic repeats (CRISPR) short hairpin ribonucleic acid (shRNA) nanopa...
Female Uterine Cervical Neoplasms Deep Learning Humans Algorithms Elasticity Imaging Techniques Nanoparticles RNA Clustered Regularly Interspaced Short Palindromic Repeats
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Enabling quantitative robot-assisted compressional elastography via the extended Kalman filter.

Physics in medicine and biology Nov 18, 2021
Compressional or quasi-static elastography has demonstrated the capability to detect occult cancers in a variety of tissue types, however it has a serious limitation in that the resulting elastograms are generally qualitative whereas other forms of e...
Robotics Elasticity Imaging Techniques Ultrasonography Elasticity Phantoms, Imaging
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Deep learning for noninvasive liver fibrosis classification: A systematic review.

Liver international : official journal of the International Association for the Study of the Liver Jun 16, 2021
BACKGROUND AND AIMS: While biopsy is the gold standard for liver fibrosis staging, it poses significant risks. Noninvasive assessment of liver fibrosis is a growing field. Recently, deep learning (DL) technology has revolutionized medical image analy...
Humans Retrospective Studies Magnetic Resonance Imaging Elasticity Imaging Techniques Deep Learning Ultrasonography Liver Cirrhosis
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Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers.

World neurosurgery Nov 28, 2020
BACKGROUND: The consistency of meningioma is a factor that may influence surgical planning and the extent of resection. The aim of our study is to develop a predictive model of tumor consistency using the radiomic features of preoperative magnetic re...
Diffusion Magnetic Resonance Imaging Supratentorial Neoplasms Elasticity Imaging Techniques Computational Biology Meningeal Neoplasms Humans Neural Networks, Computer Male Preoperative Care Logistic Models Machine Learning Middle Aged Magnetic Resonance Imaging Retrospective Studies Intraoperative Care Support Vector Machine Pilot Projects Decision Trees Female Meningioma Bayes Theorem Aged
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Synthetic Elastography Using B-Mode Ultrasound Through a Deep Fully Convolutional Neural Network.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 24, 2020
Shear-wave elastography (SWE) permits local estimation of tissue elasticity, an important imaging marker in biomedicine. This recently developed, advanced technique assesses the speed of a laterally traveling shear wave after an acoustic radiation fo...
Elasticity Imaging Techniques Deep Learning Thyroid Gland Image Processing, Computer-Assisted Humans
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Displacement Estimation in Ultrasound Elastography Using Pyramidal Convolutional Neural Network.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 24, 2020
In this article, two novel deep learning methods are proposed for displacement estimation in ultrasound elastography (USE). Although convolutional neural networks (CNNs) have been very successful for displacement estimation in computer vision, they h...
Elasticity Imaging Techniques Humans Deep Learning Image Processing, Computer-Assisted Liver Phantoms, Imaging
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Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid-enhanced MRI.

European radiology Nov 17, 2020
OBJECTIVES: To (1) develop a fully automated deep learning (DL) algorithm based on gadoxetic acid-enhanced hepatobiliary phase (HBP) MRI and (2) compare the diagnostic performance of DL vs. MR elastography (MRE) for noninvasive staging of liver fibro...
Retrospective Studies Middle Aged Deep Learning Liver Cirrhosis Magnetic Resonance Imaging Liver Humans Gadolinium DTPA Elasticity Imaging Techniques
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Deep learning networks on chronic liver disease assessment with fine-tuning of shear wave elastography image sequences.

Physics in medicine and biology Nov 5, 2020
Chronic liver disease (CLD) is currently one of the major causes of death worldwide. If not treated, it may lead to cirrhosis, hepatic carcinoma and death. Ultrasound (US) shear wave elastography (SWE) is a relatively new, popular, non-invasive techn...
Elasticity Imaging Techniques Deep Learning ROC Curve Image Processing, Computer-Assisted Female Chronic Disease Male Humans Biopsy Middle Aged Liver Diseases
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4D deep learning for real-time volumetric optical coherence elastography.

International journal of computer assisted radiology and surgery Sep 30, 2020
PURPOSE: Elasticity of soft tissue provides valuable information to physicians during treatment and diagnosis of diseases. A number of approaches have been proposed to estimate tissue stiffness from the shear wave velocity. Optical coherence elastogr...
Tomography, Optical Coherence Humans Phantoms, Imaging Deep Learning Elasticity Imaging Techniques
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