AIMC Topic: Elasticity Imaging Techniques

Clear Filters Showing 21 to 30 of 93 articles

Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics.

BMC medical imaging Aug 20, 2024
BACKGROUND: Non-Alcoholic Steatohepatitis (NASH) is a crucial stage in the progression of Non-Alcoholic Fatty Liver Disease(NAFLD). The purpose of this study is to explore the clinical value of ultrasound features and radiological analysis in predict...
Machine Learning Algorithms Radiomics Animals Rats, Sprague-Dawley Disease Models, Animal Non-alcoholic Fatty Liver Disease Elasticity Imaging Techniques Male Ultrasonography ROC Curve Rats
View on PubMed DOI

Displacement Tracking Techniques in Ultrasound Elastography: From Cross Correlation to Deep Learning.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jul 9, 2024
Ultrasound elastography is a noninvasive medical imaging technique that maps viscoelastic properties to characterize tissues and diseases. Elastography can be divided into two classes in a broad sense: strain elastography (SE), which relies on Hooke'...
Deep Learning Image Processing, Computer-Assisted Elasticity Imaging Techniques Humans Algorithms
View on PubMed DOI

Deep Learning-Enabled Automated Quality Control for Liver MR Elastography: Initial Results.

Journal of magnetic resonance imaging : JMRI Jun 22, 2024
BACKGROUND: Several factors can impair image quality and reliability of liver magnetic resonance elastography (MRE), such as inadequate driver positioning, insufficient wave propagation and patient-related factors.
Reproducibility of Results Aged Adult Male Humans Retrospective Studies Female Liver Quality Control Image Interpretation, Computer-Assisted Elasticity Imaging Techniques Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

Shear wave trajectory detection in ultra-fast M-mode images for liver fibrosis assessment: A deep learning-based line detection approach.

Ultrasonics Jun 10, 2024
Stiffness measurement using shear wave propagation velocity has been the most common non-invasive method for liver fibrosis assessment. The velocity is captured through a trace recorded by transient ultrasonographic elastography, with the slope indic...
Image Processing, Computer-Assisted Liver Cirrhosis Liver Adult Image Interpretation, Computer-Assisted Male Elasticity Imaging Techniques Humans Middle Aged Female Deep Learning Aged
View on PubMed DOI

Teacher-student guided knowledge distillation for unsupervised convolutional neural network-based speckle tracking in ultrasound strain elastography.

Medical & biological engineering & computing Apr 17, 2024
Accurate and efficient motion estimation is a crucial component of real-time ultrasound elastography (USE). However, obtaining radiofrequency ultrasound (RF) data in clinical practice can be challenging. In contrast, although B-mode (BM) data is read...
Algorithms Image Processing, Computer-Assisted Phantoms, Imaging Elasticity Imaging Techniques Humans Neural Networks, Computer
View on PubMed DOI

Assessing the Influence of B-US, CDFI, SE, and Patient Age on Predicting Molecular Subtypes in Breast Lesions Using Deep Learning Algorithms.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Apr 6, 2024
OBJECTIVES: Our study aims to investigate the impact of B-mode ultrasound (B-US) imaging, color Doppler flow imaging (CDFI), strain elastography (SE), and patient age on the prediction of molecular subtypes in breast lesions.
Deep Learning Age Factors Predictive Value of Tests Ultrasonography, Mammary Breast Ultrasonography, Doppler, Color Elasticity Imaging Techniques Young Adult Adult Breast Neoplasms Humans Middle Aged Algorithms Reproducibility of Results Retrospective Studies Aged Female Aged, 80 and over
View on PubMed DOI

Interpretable machine learning model integrating clinical and elastosonographic features to detect renal fibrosis in Asian patients with chronic kidney disease.

Journal of nephrology Feb 5, 2024
BACKGROUND: Non-invasive renal fibrosis assessment is critical for tailoring personalized decision-making and managing follow-up in patients with chronic kidney disease (CKD). We aimed to exploit machine learning algorithms using clinical and elastos...
Female Aged Adult Male Middle Aged Severity of Illness Index Kidney Humans Machine Learning Prospective Studies Fibrosis Renal Insufficiency, Chronic Elasticity Imaging Techniques Biopsy Asian People
View on PubMed DOI

Deep learning radiomics on shear wave elastography and b-mode ultrasound videos of diaphragm for weaning outcome prediction.

Medical engineering & physics Dec 17, 2023
PURPOSE: We proposed an automatic method based on deep learning radiomics (DLR) on shear wave elastography (SWE) and B-mode ultrasound videos of diaphragm for two classification tasks, one for differentiation between the control and patient groups, a...
Radiomics Deep Learning Humans Ventilator Weaning Diaphragm Elasticity Imaging Techniques Retrospective Studies
View on PubMed DOI

Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Dec 5, 2023
PURPOSE: To investigate the feasibility of deep learning radiomics (DLR) based on multimodal ultrasound to differentiate the primary cancer sites of metastatic cervical lymphadenopathy (CLA).
Elasticity Imaging Techniques Male Multimodal Imaging Middle Aged Diagnosis, Differential Humans Feasibility Studies Deep Learning Female Thyroid Neoplasms Head and Neck Neoplasms Aged Neck Adult Lymphatic Metastasis Radiomics Contrast Media Ultrasonography Lung Neoplasms Lymphadenopathy
View on PubMed DOI

Physics-informed UNets for discovering hidden elasticity in heterogeneous materials.

Journal of the mechanical behavior of biomedical materials Nov 10, 2023
Soft biological tissues often have complex mechanical properties due to variation in structural components. In this paper, we develop a novel UNet-based neural network model for inversion in elasticity (El-UNet) to infer the spatial distributions of ...
Finite Element Analysis Neural Networks, Computer Elasticity Imaging Techniques Algorithms Elasticity
View on PubMed DOI
Popular Topics
Recent Journals