scholarly journals Evaluation of an automated thresholding algorithm for the quantification of paraspinal muscle composition from MRI images

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Maryse Fortin ◽  
Mona Omidyeganeh ◽  
Michele Crites Battié ◽  
Omair Ahmad ◽  
Hassan Rivaz
Keyword(s):  
Paraspinal Muscle ◽  
Muscle Composition ◽  
Thresholding Algorithm ◽  
Automated Thresholding

scholarly journals Regional variation in paraspinal muscle composition using chemical shift encoding-based water-fat MRI

2020 ◽  
Vol 10 (2) ◽  
pp. 496-507
Author(s):  
Nico Sollmann ◽  
Agnes Zoffl ◽  
Daniela Franz ◽  
Jan Syväri ◽  
Michael Dieckmeyer ◽  
...  
Keyword(s):  
Chemical Shift ◽  
Regional Variation ◽  
Paraspinal Muscle ◽  
Muscle Composition

Quantitative Paraspinal Muscle Measurements: Inter-Software Reliability and Agreement Using OsiriX and ImageJ

2012 ◽  
Vol 92 (6) ◽  
pp. 853-864 ◽  
Author(s):  
Maryse Fortin ◽  
Michele C. Battié
Keyword(s):  
Image Analysis ◽  
Magnetic Resonance ◽  
Excellent Agreement ◽  
Magnetic Resonance Images ◽  
Paraspinal Muscle ◽  
Low Back ◽  
Measurement Reliability ◽  
Multifidus Muscle ◽  
Muscle Composition ◽  
Composition Measurements

Background Variations in paraspinal muscle cross-sectional area (CSA) and composition, particularly of the multifidus muscle, have been of interest with respect to risk of, and recovery from, low back pain problems. Several investigators have reported on the reliability of such muscle measurements using various protocols and image analysis programs. However, there is no standard protocol for tissue segmentation, nor has there been an investigation of reliability or agreement of measurements using different software. Objective The purpose of this study was to provide a detailed muscle measurement protocol and determine the reliability and agreement of associated paraspinal muscle composition measurements obtained with 2 commonly used image analysis programs: OsiriX and ImageJ. Design This was a measurement reliability study. Methods Lumbar magnetic resonance images of 30 individuals were randomly selected from a cohort of patients with various low back conditions. Muscle CSA and composition measurements were acquired from axial T2-weighted magnetic resonance images of the multifidus muscle, the erector spinae muscle, and the 2 muscles combined at L4–L5 and S1 for each participant. All measurements were repeated twice using each software program, at least 5 days apart. The assessor was blinded to all earlier measurements. Results The intrarater reliability and standard error of measurement (SEM) were comparable for most measurements obtained using OsiriX or ImageJ, with reliability coefficients (intraclass correlation coefficients [ICCs]) varying between .77 and .99 for OsiriX and .78 and .99 for ImageJ. There was similarly excellent agreement between muscle composition measurements using the 2 software applications (inter-software ICCs=.81–.99). Limitations The high degree of inter-software measurement reliability may not generalize to protocols using other commercial or custom-made software. Conclusion The proposed method to investigate paraspinal muscle CSA, composition, and side-to-side asymmetry was highly reliable, with excellent agreement between the 2 software programs.

scholarly journals Association of thigh and paraspinal muscle composition in young adults using chemical shift encoding-based water–fat MRI

2020 ◽  
Vol 10 (1) ◽  
pp. 128-136 ◽  
Author(s):  
Egon Burian ◽  
Stephanie Inhuber ◽  
Sarah Schlaeger ◽  
Michael Dieckmeyer ◽  
Elisabeth Klupp ◽  
...  
Keyword(s):  
Young Adults ◽  
Chemical Shift ◽  
Paraspinal Muscle ◽  
Muscle Composition

Fast algorithm for 2D Otsu thresholding algorithm

2013 ◽  
Vol 32 (5) ◽  
pp. 1258-1260 ◽  
Author(s):  
Chang-xin XU ◽  
Guo-hua PENG
Keyword(s):  
Fast Algorithm ◽  
Otsu Thresholding ◽  
Thresholding Algorithm

scholarly journals Convergence Rates of First- and Higher-Order Dynamics for Solving Linear Ill-Posed Problems

2021 ◽  
Author(s):  
Radu Boţ ◽  
Guozhi Dong ◽  
Peter Elbau ◽  
Otmar Scherzer
Keyword(s):  
Linear Operator ◽  
Operator Equation ◽  
Convex Analysis ◽  
Convergence Rates ◽  
Linear Operator Equation ◽  
Optimal Convergence Rates ◽  
Ill Posed ◽  
Thresholding Algorithm ◽  
The Given ◽  
Theoretical Results

AbstractRecently, there has been a great interest in analysing dynamical flows, where the stationary limit is the minimiser of a convex energy. Particular flows of great interest have been continuous limits of Nesterov’s algorithm and the fast iterative shrinkage-thresholding algorithm, respectively. In this paper, we approach the solutions of linear ill-posed problems by dynamical flows. Because the squared norm of the residual of a linear operator equation is a convex functional, the theoretical results from convex analysis for energy minimising flows are applicable. However, in the restricted situation of this paper they can often be significantly improved. Moreover, since we show that the proposed flows for minimising the norm of the residual of a linear operator equation are optimal regularisation methods and that they provide optimal convergence rates for the regularised solutions, the given rates can be considered the benchmarks for further studies in convex analysis.

Sign in / Sign up

Export Citation Format

Share Document