scholarly journals Non-parametric intravoxel incoherent motion analysis in patients with intracranial lesions: Test-retest reliability and correlation with arterial spin labeling

2016 ◽  
Vol 11 ◽  
pp. 780-788 ◽  
Author(s):  
Sonja Stieb ◽  
Andreas Boss ◽  
Moritz C. Wurnig ◽  
Pinar S. Özbay ◽  
Tobias Weiss ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Intravoxel Incoherent Motion ◽  
Retest Reliability ◽  
Intracranial Lesions ◽  
Test Retest Reliability ◽  
Non Parametric

scholarly journals Test-retest reliability of cerebral blood flow in healthy individuals using arterial spin labeling: Findings from the EMBARC study

2018 ◽  
Vol 45 ◽  
pp. 26-33 ◽  
Author(s):  
Jorge R.C. Almeida ◽  
Tsafrir Greenberg ◽  
Hanzhang Lu ◽  
Henry W. Chase ◽  
Jay C. Fournier ◽  
...  
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Healthy Individuals ◽  
Retest Reliability ◽  
Test Retest Reliability

Test-retest reliability and reproducibility of long-label pseudo-continuous arterial spin labeling

2020 ◽  
Vol 73 ◽  
pp. 111-117
Author(s):  
Tianye Lin ◽  
Jianxun Qu ◽  
Zhentao Zuo ◽  
Xiaoyuan Fan ◽  
Hui You ◽  
...  
Keyword(s):  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Retest Reliability ◽  
Continuous Arterial Spin Labeling ◽  
Test Retest Reliability

scholarly journals Test–retest reliability of perfusion of the precentral cortex and precentral subcortical white matter on three-dimensional pseudo-continuous arterial spin labeling

2018 ◽  
Vol 46 (9) ◽  
pp. 3788-3795
Author(s):  
Mengqi Liu ◽  
Zhiye Chen ◽  
Lin Ma
Keyword(s):  
White Matter ◽  
Resting State ◽  
Arterial Spin Labeling ◽  
Three Dimensional ◽  
Spin Labeling ◽  
Subcortical White Matter ◽  
Finger Tapping ◽  
Retest Reliability ◽  
Continuous Arterial Spin Labeling ◽  
Test Retest Reliability

Objective This study was performed to evaluate the test–retest reliability of perfusion of the cortex and subcortical white matter on three-dimensional spiral fast spin echo pseudo-continuous arterial spin labeling (3D-ASL). Methods Eight healthy subjects underwent 3D-ASL and structural imaging at the same time each day for 1 week. ASL data acquisition was performed in the resting state and right finger-tapping state. Cerebral blood flow (CBF) images were calculated, and the CBF values of the precentral cortex (PCC) and precentral subcortical white matter (PCSWM) were automatically extracted based on the structural images and CBF images. Results In the resting state, the intraclass correlation coefficient (ICC) of the bilateral PCC was 0.84 (left) and 0.81 (right) and that of the bilateral SCWM was 0.89 (left) and 0.85 (right). In the finger-tapping state, the ICC of the bilateral PCC was 0.91 (left) and 0.87 (right) and that of the bilateral PCSWM was 0.87 (left) and 0.92 (right). The CBF value of the left PCC and PCSWM was not significantly different between the resting state and finger-tapping state on two ASL scans. Conclusion 3D-ASL provides reliable CBF measurement in the cortex and subcortical white matter in the resting or controlled state.

MOVEMENT MEASUREMENT VALIDITY AND RELIABILITY OF THE IMAGE J PROGRAM FOR KINEMATIC ANALYSIS

2016 ◽  
Vol 16 (08) ◽  
pp. 1640028 ◽  
Author(s):  
JEONG J. LEE ◽  
JOSHUA H. YOU
Keyword(s):  
Motion Analysis ◽  
Kinematic Analysis ◽  
Motion Analysis System ◽  
Validity And Reliability ◽  
Retest Reliability ◽  
Dynamic Movement ◽  
Angle Data ◽  
Hemiparetic Stroke ◽  
Analysis System ◽  
Test Retest Reliability

Background: While advanced motion analysis systems can provide accurate kinematic information, the majorities of motion analysis systems are stationary, expensive and time consuming. Image J is a Java-based image processing program that was originally developed at the National Institutes of Health and has rapidly gained widespread acceptance among rehabilitation specialists as a portable and affordable alternative motion analysis system. However, the validity and reliability of the Image J program have not been well established. Objective: The purpose of this study was to investigate the validity and test–retest reliability of the Image J kinematic analysis system. The Image J kinematic analysis system is designed to produce precise kinematic evidence during normal and pathological static and dynamic movement patterns. Methods: The Image J motion analysis system was concurrently compared with the electrogoniometer system as a reference standard measure by obtaining sagittal kinematic knee joint angle data. Results: Image J motion analysis system measurement revealed outstanding validity ([Formula: see text] and [Formula: see text]). The test–retest reliability for kinematic knee angle data showed remarkable consistency (Cronbach’s [Formula: see text]). Conclusions: This study provides the first evidence highlighting the Image J kinematic analysis system’s excellent validity and reliability for evaluating human kinematic movements in elderly people with hemiparetic stroke.

scholarly journals Comparison of Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging and Arterial Spin Labeling MR Imaging in Gliomas

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Yuankai Lin ◽  
Jianrui Li ◽  
Zhiqiang Zhang ◽  
Qiang Xu ◽  
Zhenyu Zhou ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
White Matter ◽  
Mr Imaging ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Intravoxel Incoherent Motion ◽  
Low Grade ◽  
High Grade ◽  
Low Grade Gliomas ◽  
High Grade Gliomas

Gliomas grading is important for treatment plan; we aimed to investigate the application of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) in gliomas grading, by comparing with the three-dimensional pseudocontinuous arterial spin labeling (3D pCASL). 24 patients (13 high grade gliomas and 11 low grade gliomas) underwent IVIM DWI and 3D pCASL imaging before operation; maps of fast diffusion coefficient (D∗), slow diffusion coefficient (D), fractional perfusion-related volume (f), and apparent diffusion coefficient (ADC) as well as cerebral blood flow (CBF) were calculated and then coregistered to generate the corresponding parameter values. We found CBF andD∗were higher in the high grade gliomas, whereas ADC,D, andfwere lower (allP<0.05). In differentiating the high from low grade gliomas, the maximum areas under the curves (AUC) ofD∗, CBF, and ADC were 0.857, 0.85, and 0.902, respectively. CBF was negatively correlated withfin tumor (r=-0.619,P=0.001). ADC was positively correlated withDin both tumor and white matter (r=0.887,P=0.000andr=0.824,P=0.000, resp.). There was no correlation between CBF andD∗in both tumor and white matter (P>0.05). IVIM DWI showed more efficiency than 3D pCASL but less validity than conventional DWI in differentiating the high from low grade gliomas.

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