AIMC Topic: Multidetector Computed Tomography
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Stature estimation by semi-automatic measurements of 3D CT images of the femur.
International journal of legal medicine
Dec 7, 2022
Stature estimation is one of the most basic and important methods of personal identification. The long bones of the limbs provide the most accurate stature estimation, with the femur being one of the most useful. In all the previously reported method...
Low-radiation dose scan protocol for preoperative imaging for dental implant surgery using deep learning-based reconstruction in multidetector CT.
Oral radiology
Jan 29, 2022
OBJECTIVES: This study aimed to investigate the impact of a deep learning-based reconstruction (DLR) technique on image quality and reduction of radiation exposure, and to propose a low-dose multidetector-row computed tomography (MDCT) scan protocol ...
Deep learning image reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of image quality and radiation dose in a phantom study.
European radiology
Jan 22, 2022
OBJECTIVES: To compare the image quality and radiation dose of a deep learning image reconstruction (DLIR) algorithm compared with iterative reconstruction (IR) and filtered back projection (FBP) at different tube voltages and tube currents.
Generation of Vertebra Micro-CT-like Image from MDCT: A Deep-Learning-Based Image Enhancement Approach.
Tomography (Ann Arbor, Mich.)
Nov 12, 2021
This paper proposes a deep-learning-based image enhancement approach that can generate high-resolution micro-CT-like images from multidetector computed tomography (MDCT). A total of 12,500 MDCT and micro-CT image pairs were obtained from 25 vertebral...
Exploring the diagnostic effectiveness for myocardial ischaemia based on CCTA myocardial texture features.
BMC cardiovascular disorders
Aug 31, 2021
BACKGROUND: To explore the characteristics of myocardial textures on coronary computed tomography angiography (CCTA) images in patients with coronary atherosclerotic heart disease, a classification model was established, and the diagnostic effectiven...
Retrospective Studies
Female
Reproducibility of Results
Aged
Humans
Machine Learning
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Proof of Concept Study
Myocardial Ischemia
Male
Middle Aged
Predictive Value of Tests
Coronary Angiography
Multidetector Computed Tomography
Computed Tomography Angiography
Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection.
BMC medical imaging
Jul 8, 2021
BACKGROUND: To evaluate the performance of a Deep Learning Image Reconstruction (DLIR) algorithm in pediatric head CT for improving image quality and lesion detection with 0.625 mm thin-slice images.
Performance and reading time of lung nodule identification on multidetector CT with or without an artificial intelligence-powered computer-aided detection system.
Clinical radiology
May 19, 2021
AIM: To compare the performance and reading time of different readers using automatic artificial intelligence (AI)-powered computer-aided detection (CAD) to detect lung nodules in different reading modes.
Accurately Discriminating COVID-19 from Viral and Bacterial Pneumonia According to CT Images Via Deep Learning.
Interdisciplinary sciences, computational life sciences
Feb 27, 2021
Computed tomography (CT) is one of the most efficient diagnostic methods for rapid diagnosis of the widespread COVID-19. However, reading CT films brings a lot of concentration and time for doctors. Therefore, it is necessary to develop an automatic ...
Fully automatic volume segmentation of infrarenal abdominal aortic aneurysm computed tomography images with deep learning approaches versus physician controlled manual segmentation.
Journal of vascular surgery
Dec 9, 2020
OBJECTIVE: Imaging software has become critical tools in the diagnosis and decision making for the treatment of abdominal aortic aneurysms (AAA). However, the interobserver reproducibility of the maximum cross-section diameter is poor. This study aim...
Aortography
Reproducibility of Results
Deep Learning
Predictive Value of Tests
Aortic Aneurysm, Abdominal
Anatomic Landmarks
Automation
Humans
Radiographic Image Interpretation, Computer-Assisted
Multidetector Computed Tomography
Retrospective Studies
Workflow
Computed Tomography Angiography
Observer Variation
Software Design
Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors.
Korean journal of radiology
Oct 21, 2020
OBJECTIVE: The mitotic count of gastrointestinal stromal tumors (GIST) is closely associated with the risk of planting and metastasis. The purpose of this study was to develop a predictive model for the mitotic index of local primary GIST, based on d...
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