A simple noise correction scheme for diffusional kurtosis imaging

GR Glenn, A Tabesh, JH Jensen - Magnetic resonance imaging, 2015 - Elsevier
Purpose Diffusional kurtosis imaging (DKI) is sensitive to the effects of signal noise due to
strong diffusion weightings and higher order modeling of the diffusion weighted signal. A …

A statistical approach for MR and CT images comparison

G Andria, F Attivissimo, AML Lanzolla - Measurement, 2013 - Elsevier
Recently, many complex medical exams require correlating the information from magnetic
resonance (MR) and computed tomography (CT) images in order to obtain a more accurate …

Automated segmentation of tumours in MRI brain scans

AM Hasan, F Meziane, M Abd Kadhim - International Conference on …, 2016 - scitepress.org
The research reported in this paper concerns the development of a novel automated
algorithm to identify and segment brain tumours in MRI scans. The input is the patient's scan …

Fractional-order time series models for extracting the haemodynamic response from functional magnetic resonance imaging data

K Barbé, W Van Moer, G Nagels - IEEE transactions on …, 2012 - ieeexplore.ieee.org
The postprocessing of functional magnetic resonance imaging (fMRI) data to study the brain
functions deals mainly with two objectives: signal detection and extraction of the …

The Improving of the Accuracy of a Signal Amplitude Measurement in the Passive Systems

VT Pham, P Hubaček - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
A crucial aspect of passive systems is a signal analysis based on the measuring of the
characteristics of the signal. The signal amplitude information is employed first and foremost …

Doppler Migration Estimation for a Complex Moving Target in Low Signal to Noise Ratio Environment

H Yamaguchi - 2018 Progress in Electromagnetics Research …, 2018 - ieeexplore.ieee.org
This paper presents a Doppler migration estimation technique for a complex moving target
in post detection integration (PDI). The technique is based on dynamic programming with a …

Effect Size Comparison for Gaussian and Rician Modelling within fMRI Data

S Blotwijk, K Barbé - 2018 IEEE International Symposium on …, 2018 - ieeexplore.ieee.org
It has been argued that due to the bias at low SNR, the Gaussian approach is unsuitable for
modelling Rician fMRI data. As a result several estimators incorporating the Rician nature of …

Data augmentation in rician noise model and bayesian diffusion tensor imaging

D Gasbarra, J Liu, J Railavo - arXiv preprint arXiv:1403.5065, 2014 - arxiv.org
Mapping white matter tracts is an essential step towards understanding brain function.
Diffusion Magnetic Resonance Imaging (dMRI) is the only noninvasive technique which can …

کاهش نوفه در تصویربرداری تشدید مغناطیسی با استفاده از الگوریتم تخمین بیزین

کاظمی تبار, توکلی - 2020‎ - jsdp.rcisp.ac.ir
تصویربرداری تشدید مغناطیسی [1](MRI) که اساس آن بر پایه تشدید مغناطیسی هسته‎ ای بنا نهاده
شده، به‎ عنوان یک روش بارز در زمینه کاربردهای پزشکی مطرح است. به‎ دلیل وضوح مناسب و فناوری …

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AAAS AAAASS - iasj.net
The present study aims to verify the aeromagnetic shallow source anomaly that appears at
Bahr Al-Najaf Depression and to determine its source. The studied area is completely …