نتایج جستجو برای: fbp

تعداد نتایج: 970  

Journal: :Bioengineering 2023

Our objective is to develop a model for the prediction of minimum fetal blood pressure (FBP) during heart rate (FHR) decelerations. Experimental data from umbilical occlusions in near-term sheep (2698 57 lambs) were used train convolutional neural network. This was then estimate FBP decelerations extracted final 90 min 53,445 human FHR signals collected using cardiotocography. Minimum predicted...

2017
Gonca Kara Gedik Oktay Sari

BACKGROUND & OBJECTIVES Preoperative localization of parathyroid lesions is essential for improving the results in patients with primary hyperparathyroidism. The purpose of this study was to evaluate retrospectively the value of technetium-99m (Tc-99m) methoxyisobutylisonitrile (MIBI) single photon emission computed tomography (SPECT) and to compare the diagnostic accuracy of iterative reconstr...

2012
Wesley T. Kerr Edward P. Lau

The technology of fluoro-deoxyglucose positron emission tomography (PET) has drastically increased our ability to visualize the metabolic process of numerous neurological diseases. The relationship between the methodological noise sources inherent to PET technology and the resulting noise in the reconstructed image is complex. In this study, we use Monte Carlo simulations to examine the effect ...

Journal: :Journal of Computer Assisted Tomography 2021

Objective The aim of this study was to compare the contrast gray white matter between forward-projected model-based iterative reconstruction solution (FIRST) and hybrid (IR) by measuring computed tomography value brain parenchyma. Methods Computed values in 15 areas 21 patients (7 males, 14 females; average age, 49.5 ± 10.7 years) were measured compared FIRST IR with filtered back projection (F...

2014
Loredana Ingrosso Fenicia Vescio Massimo Giuliani Giovanni Battista Migliori Lanfranco Fattorini Santino Severoni Giovanni Rezza

In Italy, TB notifications in foreign-born people (FBP) are steadily increasing. To investigate this issue we did a meta-analysis on risk factors for FBP people. A systematic search was performed in PubMed and EMBASE from Jan-1980 to Jan-2013. We analysed HIV status, previous TB-treatment, intravenous drug use and alcohol abuse, and multidrug resistant TB. Odd ratio was used as a measure of eff...

2015
Hesong Shen Guochao Dai Mingyue Luo Chaijie Duan Wenli Cai Dan Liang Xinhua Wang Dongyun Zhu Wenru Li Jianping Qiu Qinghui Zhang

PURPOSE To investigate image quality and radiation dose of CT coronary angiography (CTCA) scanned using automatic tube current modulation (ATCM) and reconstructed by strong adaptive iterative dose reduction three-dimensional (AIDR3D). METHODS Eighty-four consecutive CTCA patients were collected for the study. All patients were scanned using ATCM and reconstructed with strong AIDR3D, standard ...

2015
Hesong Shen Dan Liang Mingyue Luo Chaijie Duan Wenli Cai Shanshan Zhu Jianping Qiu Wenru Li

OBJECTIVE To investigate image quality and radiation dose of CT colonography (CTC) with adaptive iterative dose reduction three-dimensional (AIDR3D). METHODS Ten segments of porcine colon phantom were collected, and 30 pedunculate polyps with diameters ranging from 1 to 15 mm were simulated on each segment. Image data were acquired with tube voltage of 120 kVp, and current doses of 10 mAs, 20...

Journal: :Buildings 2022

Firebricks are generally used in furnace basins where glass, ceramics, and cement produced. have an important place construction demolition waste (CDW). However, there is a limited understanding of the effects on fresh hardened state properties cementitious composites. This study investigates mechanical, physical, microstructural composites incorporating firebrick powder (FBP) from CDW. In this...

Journal: :Soft Computing 2022

Abstract Facial beauty prediction (FBP) is an important and challenging problem in the fields of computer vision machine learning. Not only it easily prone to overfitting due lack large-scale effective data, but also difficult quickly build robust facial evaluation models because variability appearance complexity human perception. Transfer Learning can be able reduce dependence on large amounts...

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