AIMC Topic: Tomography

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Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Ultrasound computed tomography (USCT) quantifies acoustic tissue properties such as the speed-of-sound (SOS). Although full-waveform inversion (FWI) is an effective method for accurate SOS reconstruction, it can be computationally challenging for lar...
Algorithms Tomography, X-Ray Computed Female Humans Breast Phantoms, Imaging Tomography Deep Learning Ultrasonography Image Processing, Computer-Assisted
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Magnetic Resonance Electrical Properties Tomography Based on Modified Physics- Informed Neural Network and Multiconstraints.

IEEE transactions on medical imaging Sep 3, 2024
This paper presents a novel method based on leveraging physics-informed neural networks for magnetic resonance electrical property tomography (MREPT). MREPT is a noninvasive technique that can retrieve the spatial distribution of electrical propertie...
Tomography Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Animals Phantoms, Imaging
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Machine Learning-Based Identification of Risk Factors of Keratoconus Progression Using Raw Corneal Tomography Data.

Cornea Aug 20, 2024
PURPOSE: The purpose of this study was to identify early indicators of keratoconus progression in Pentacam data using machine learning (ML) techniques.
Retrospective Studies Female Risk Factors Humans Machine Learning Male Middle Aged Disease Progression Young Adult Adult Cornea Adolescent Keratoconus ROC Curve Corneal Topography Tomography
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UroAngel: a single-kidney function prediction system based on computed tomography urography using deep learning.

World journal of urology Apr 16, 2024
BACKGROUND: Accurate estimation of the glomerular filtration rate (GFR) is clinically crucial for determining the status of obstruction, developing treatment strategies, and predicting prognosis in obstructive nephropathy (ON). We aimed to develop a ...
Renal Insufficiency, Chronic Glomerular Filtration Rate Creatinine Tomography Solitary Kidney Retrospective Studies Deep Learning Kidney Humans
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Predicting malnutrition in gastric cancer patients using computed tomography(CT) deep learning features and clinical data.

Clinical nutrition (Edinburgh, Scotland) Feb 6, 2024
OBJECTIVE: The aim of this study is using clinical factors and non-enhanced computed tomography (CT) deep features of the psoas muscles at third lumbar vertebral (L3) level to construct a model to predict malnutrition in gastric cancer before surgery...
Tomography Stomach Neoplasms Deep Learning Malnutrition Albumins Phenylenediamines Benzamides Humans Retrospective Studies
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Ultrasound tomography enhancement by signal feature extraction with modular machine learning method.

PloS one Jan 31, 2024
Robust and reliable diagnostic methods are desired in various types of industries. This article presents a novel approach to object detection in industrial or general ultrasound tomography. The key idea is to analyze the time-dependent ultrasonic sig...
Neural Networks, Computer Tomography Machine Learning Ultrasonography
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Model-based deep learning framework for accelerated optical projection tomography.

Scientific reports Dec 8, 2023
In this work, we propose a model-based deep learning reconstruction algorithm for optical projection tomography (ToMoDL), to greatly reduce acquisition and reconstruction times. The proposed method iterates over a data consistency step and an image d...
Image Processing, Computer-Assisted Zebrafish Phantoms, Imaging Tomography Algorithms Animals Deep Learning Neural Networks, Computer
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Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography.

BMC medical imaging Nov 28, 2023
PURPOSES: To develop a deep learning (DL) model to measure the sagittal Cobb angle of the cervical spine on computed tomography (CT).
Deep Learning Tomography Cervical Vertebrae Humans Spine Tomography, X-Ray Computed
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Noninvasive Computed Tomography-Based Deep Learning Model Predicts In Vitro Chemosensitivity Assay Results in Pancreatic Cancer.

Pancreas Nov 24, 2023
OBJECTIVES: We aimed to predict in vitro chemosensitivity assay results from computed tomography (CT) images by applying deep learning (DL) to optimize chemotherapy for pancreatic ductal adenocarcinoma (PDAC).
Paclitaxel Humans Drug Resistance, Neoplasm Deep Learning Gemcitabine Fluorouracil Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Tomography Drug Screening Assays, Antitumor
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Aortic Annulus Detection Based on Deep Learning for Transcatheter Aortic Valve Replacement Using Cardiac Computed Tomography.

Journal of Korean medical science Sep 18, 2023
BACKGROUND: To propose a deep learning architecture for automatically detecting the complex structure of the aortic annulus plane using cardiac computed tomography (CT) for transcatheter aortic valve replacement (TAVR).
Tomography Deep Learning Radiography Humans Transcatheter Aortic Valve Replacement Retrospective Studies
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