AIMC Topic: Elasticity Imaging Techniques

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[Diagnostic Value of Micropure Imaging Combined with Strain Elastography in Correcting Artificial Intelligence S-Detect Technology for Benign and Malignant Breast Complex Cystic and Solid Masses].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Jul 30, 2024
OBJECTIVE: To explore the diagnostic value of micropure imaging (MI) combined with strain elastography (SE) in correcting artificial intelligence (AI) S-Detect technology for benign and malignant breast complex cystic and solid masses.
Humans Artificial Intelligence ROC Curve Breast Elasticity Imaging Techniques Female Sensitivity and Specificity Breast Neoplasms
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ANTs, BET, or…neither? An exploration of brain masking and machine learning tools applied to magnetic resonance elastography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Magnetic resonance elastography is a quantitative MRI modality that can aid in diagnosis of disease by detecting altered tissue mechanical properties. While brain masking tools exist for common MRI sequences, such as T1-weighted and T2-weighted imagi...
Humans Machine Learning Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Brain Elasticity Imaging Techniques
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Stiffness analysis of meningiomas using neural network-based inversion on MR Elastography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Meningiomas are the most prevalent benign intracranial tumors, and surgical intervention is the primary treatment. The physical characteristics of meningiomas, such as tumor stiffness or consistency, play a crucial role in the surgical approach. This...
Humans Meningeal Neoplasms Neural Networks, Computer Female Meningioma Male Elasticity Imaging Techniques Middle Aged Magnetic Resonance Imaging
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[Reconstruction of elasticity modulus distribution base on semi-supervised neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2024
Accurate reconstruction of tissue elasticity modulus distribution has always been an important challenge in ultrasound elastography. Considering that existing deep learning-based supervised reconstruction methods only use simulated displacement data ...
Elasticity Imaging Techniques Algorithms Deep Learning Image Processing, Computer-Assisted Phantoms, Imaging Elastic Modulus Humans Neural Networks, Computer
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B-mode US and Deep Learning Rivals Shear-Wave Elastography in Screening for Fibrosis.

Radiology Apr 1, 2024
Female Adult Male Humans Elasticity Imaging Techniques Middle Aged Deep Learning Liver Cirrhosis
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Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis.

Radiology Oct 1, 2023
Background Screening for nonalcoholic fatty liver disease (NAFLD) is suboptimal due to the subjective interpretation of US images. Purpose To evaluate the agreement and diagnostic performance of radiologists and a deep learning model in grading hepat...
Elasticity Imaging Techniques Biopsy Non-alcoholic Fatty Liver Disease Retrospective Studies Humans Male Deep Learning Middle Aged ROC Curve Liver
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Feasibility of a Deep Learning approach to estimate Shear Wave Speed using the framework of Reverberant Shear Wave Elastography: A numerical simulation study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Reverberant Shear Wave Elastography (RSWE) is an ultrasound elastography technique that offers great advantages, however, current estimators generate underestimations and time-consuming issues. As well, the involvement of Deep Learning into the medic...
Humans Computer Simulation Female Male Phantoms, Imaging Deep Learning Feasibility Studies Elasticity Imaging Techniques
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Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images scalable deep learning.

World journal of gastroenterology Jun 14, 2022
BACKGROUND: Hepatic steatosis is a major cause of chronic liver disease. Two-dimensional (2D) ultrasound is the most widely used non-invasive tool for screening and monitoring, but associated diagnoses are highly subjective.
Humans Fatty Liver Elasticity Imaging Techniques Deep Learning Retrospective Studies Liver ROC Curve Reproducibility of Results Non-alcoholic Fatty Liver Disease
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Deep-learning-based approach for strain estimation in phase-sensitive optical coherence elastography.

Optics letters Dec 1, 2021
In this Letter, a deep-learning-based approach is proposed for estimating the strain field distributions in phase-sensitive optical coherence elastography. The method first uses the simulated wrapped phase maps and corresponding phase-gradient maps t...
Neural Networks, Computer Deep Learning Elasticity Imaging Techniques
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Added value of deep learning-based computer-aided diagnosis and shear wave elastography to b-mode ultrasound for evaluation of breast masses detected by screening ultrasound.

Medicine Aug 6, 2021
Low specificity and operator dependency are the main problems of breast ultrasound (US) screening. We investigated the added value of deep learning-based computer-aided diagnosis (S-Detect) and shear wave elastography (SWE) to B-mode US for evaluatio...
Breast Image Interpretation, Computer-Assisted Elasticity Imaging Techniques Diagnosis, Differential Ultrasonography, Mammary Humans Diagnosis, Computer-Assisted Republic of Korea Breast Neoplasms Prospective Studies Deep Learning Female Middle Aged Early Detection of Cancer Sensitivity and Specificity
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