Results 1 to 10 of about 4,654,677 (402)

Single-breath-hold photoacoustic computed tomography of the breast [PDF]

open access: yesNature Communications, 2018
We have developed a single-breath-hold photoacoustic computed tomography (SBH-PACT) system to reveal detailed angiographic structures in human breasts. SBH-PACT features a deep penetration depth (4 cm in vivo) with high spatial and temporal resolutions ...
Appleton, Catherine M   +7 more
core   +3 more sources

X-ray computed tomography for additive manufacturing: a review [PDF]

open access: yes, 2016
In this review, the use of x-ray computed tomography (XCT) is examined, identifying the requirement for volumetric dimensional measurements in industrial verification of additively manufactured (AM) parts.
A Thompson   +33 more
core   +2 more sources

Ultrasonic Computed Tomography [PDF]

open access: yes, 2010
Ultrasonic Computed Tomography (UCT) is a full digital imaging technique, which consists in numerically solving the inverse scattering problem associated to the forward scattering problem describing the interaction of ultrasonic waves with inhomogeneous ...
Guillermin, Régine   +2 more
core   +6 more sources

PET/CT Radiomic Features: A Potential Biomarker for EGFR Mutation Status and Survival Outcome Prediction in NSCLC Patients Treated With TKIs

open access: yesFrontiers in Oncology, 2022
BackgroundsEpidermal growth factor receptor (EGFR) mutation profiles play a vital role in treatment strategy decisions for non–small cell lung cancer (NSCLC).
Liping Yang   +10 more
doaj   +1 more source

Diagnosis of Serosal Invasion in Gastric Adenocarcinoma by Dual-Energy CT Radiomics: Focusing on Localized Gastric Wall and Peritumoral Radiomics Features

open access: yesFrontiers in Oncology, 2022
ObjectivesTo build a radiomics model and combined model based on dual-energy CT (DECT) for diagnosing serosal invasion in gastric adenocarcinoma.Materials and methods231 gastric adenocarcinoma patients were enrolled and randomly divided into a training ...
Li Yang   +7 more
doaj   +1 more source

How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography

open access: yesScientific Reports, 2023
Recently, algorithms capable of assessing the severity of Coronary Artery Disease (CAD) in form of the Coronary Artery Disease-Reporting and Data System (CAD-RADS) grade from Coronary Computed Tomography Angiography (CCTA) scans using Deep Learning (DL ...
Felix Denzinger   +12 more
doaj   +1 more source

Radiomics Analysis of Contrast-Enhanced CT Predicts Survival in Clear Cell Renal Cell Carcinoma

open access: yesFrontiers in Oncology, 2021
PurposeTo develop and validate the radiomics nomogram that combines clinical factors and radiomics features to estimate overall survival (OS) in patients with clear cell renal cell carcinoma (ccRCC), and assess the incremental value of radiomics for OS ...
Lei Yan   +10 more
doaj   +1 more source

Noncontrast Computed Tomography vs Computed Tomography Perfusion or Magnetic Resonance Imaging Selection in Late Presentation of Stroke With Large-Vessel Occlusion

open access: yesJAMA Neurology, 2021
Key Points Question In patients with proximal anterior circulation occlusion stroke presenting in the extended window, are rates of favorable outcomes at 90 days comparable in the patients selected for thrombectomy with noncontrast computed tomography vs
Thanh N. Nguyen   +41 more
semanticscholar   +1 more source

Onsite Computed Tomography Fractional Flow Reserve in Patients with Suspected Stable Coronary Artery Disease Initial Experience

open access: yesIndian Journal of Radiology and Imaging, 2021
Introduction Computed tomographic coronary angiographic (CTCA) has evolved into a robust technique to detect significant stenosis; however, there is a discordance in the anatomic and functional significance of stenosis.
Atul Kapoor   +2 more
doaj   +1 more source

Preoperative prediction of Lauren classification in gastric cancer: a radiomics model based on dual-energy CT iodine map

open access: yesInsights into Imaging, 2023
Objective To investigate the value of a radiomics model based on dual-energy computed tomography (DECT) venous-phase iodine map (IM) and 120 kVp equivalent mixed images (MIX) in predicting the Lauren classification of gastric cancer.
Min Li   +7 more
doaj   +1 more source

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