AIMC Topic: Multidetector Computed Tomography
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Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance.
The international journal of cardiovascular imaging
Apr 13, 2017
We evaluated the image quality and diagnostic performance of late iodine enhancement computed tomography (LIE-CT) with knowledge-based iterative model reconstruction (IMR) for the detection of myocardial infarction (MI) in comparison with late gadoli...
Myocardial Perfusion Imaging
Gadolinium DTPA
Magnetic Resonance Imaging, Cine
Cardiac-Gated Imaging Techniques
Observer Variation
Multidetector Computed Tomography
Computed Tomography Angiography
Coronary Circulation
Iopamidol
Contrast Media
Predictive Value of Tests
Myocardium
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Myocardial Infarction
Knowledge Bases
Aged
Male
Middle Aged
Electrocardiography
Humans
Retrospective Studies
Female
Reproducibility of Results
Improved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.
Journal of cardiovascular computed tomography
Feb 23, 2017
BACKGROUND: The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary ...
Humans
Algorithms
Female
Reproducibility of Results
Knowledge Bases
Signal-To-Noise Ratio
Aged
Predictive Value of Tests
Germany
Male
Coronary Angiography
Multidetector Computed Tomography
Coronary Vessels
Middle Aged
Radiographic Image Interpretation, Computer-Assisted
Computed Tomography Angiography
Body Mass Index
Radiation Dosage
Coronary Artery Disease
Radiation Exposure
Selection of peripheral intravenous catheters with 24-gauge side-holes versus those with 22-gauge end-hole for MDCT: A prospective randomized study.
European journal of radiology
Dec 6, 2016
PURPOSE: To compare the 24-gauge side-holes catheter and conventional 22-gauge end-hole catheter in terms of safety, injection pressure, and contrast enhancement on multi-detector computed tomography (MDCT).
Use of pattern recognition and neural networks for non-metric sex diagnosis from lateral shape of calvarium: an innovative model for computer-aided diagnosis in forensic and physical anthropology.
International journal of legal medicine
Aug 29, 2016
Sex determination on skeletal remains is one of the most important diagnosis in forensic cases and in demographic studies on ancient populations. Our purpose is to realize an automatic operator-independent method to determine the sex from the bone sh...
The role of the sacroiliac joint in sex estimation: Analysis of morphometry and variation types using machine learning techniques.
Legal medicine (Tokyo, Japan)
May 1, 2025
This study aimed to evaluate the potential of machine learning algorithms in sex estimation by going beyond the traditional two-dimensional (2D) measurements of the pelvic bone, predominantly preferred in sex prediction, by including measurement data...
Deep Learning to Differentiate Benign and Malignant Vertebral Fractures at Multidetector CT.
Radiology
Mar 1, 2024
Background Differentiating between benign and malignant vertebral fractures poses diagnostic challenges. Purpose To investigate the reliability of CT-based deep learning models to differentiate between benign and malignant vertebral fractures. Materi...
Improved Vertebral Fracture Assessment: The Game-Changing Potential of Deep Learning with Multidetector CT.
Radiology
Mar 1, 2024
Are multi-detector computed tomography and cone-beam computed tomography exams and software accurate to measure the upper airway? A systematic review.
European journal of orthodontics
Nov 30, 2023
BACKGROUND: Cone-beam computed tomography (CBCT) has several applications in various fields of dental medicine such as diagnosis and treatment planning. When compared to computed tomography (CT), CBCT's radiation exposure dose is decreased by 3%-20%....
Impact of a reduced iodine load with deep learning reconstruction on abdominal MDCT.
Medicine
Sep 1, 2023
To evaluate the impact of a reduced iodine load using deep learning reconstruction (DLR) on the hepatic parenchyma compared to conventional iterative reconstruction (hybrid IR) and its consequence on the radiation dose and image quality. This retrosp...
Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer.
The British journal of surgery
May 27, 2021
BACKGROUND: Lymph node metastasis (LNM) in gastric cancer is a prognostic factor and has implications for the extent of lymph node dissection. The lymphatic drainage of the stomach involves multiple nodal stations with different risks of metastases. ...
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