Improving local composition measurements of binary mixtures by image analysis

2008 ◽  
Vol 187 (3) ◽  
pp. 205-213 ◽  
Author(s):  
F. Dal Grande ◽  
A. Santomaso ◽  
P. Canu
Keyword(s):  
Image Analysis ◽  
Binary Mixtures ◽  
Local Composition ◽  
Composition Measurements

scholarly journals Local composition fluctuations in strongly nonideal binary mixtures

2002 ◽  
Vol 117 (3) ◽  
pp. 1155-1165 ◽  
Author(s):  
Rajesh K. Murarka ◽  
Biman Bagchi
Keyword(s):  
Binary Mixtures ◽  
Local Composition ◽  
Composition Fluctuations

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 Gas-Fluidization Characteristics of Binary Mixtures of Particles in 2D Geometry

2012 ◽  
Vol 10 (1) ◽  
Author(s):  
Antonio Busciglio ◽  
Giuseppa Vella ◽  
Dr. G. Micale
Keyword(s):  
Image Analysis ◽  
Binary Mixtures ◽  
Digital Image ◽  
Fluidized Beds ◽  
Digital Image Analysis ◽  
Distribution Maps ◽  
Work Related ◽  
Considerable Work ◽  
Almost All ◽  
Bed Expansion

The bubbling behaviour of fluidized beds has been thoroughly investigated in the last decades by means of several techniques, e.g. X-ray, Inductance, Resistance and Impedance based techniques, PIV. In recent years, Digital Image Analysis Techniques have shown their potential for accurate and cost effectively measurements.Most of the work related to bubble behaviour analysis deals with single-sized particles, while almost all industrial equipment operates with multi-sized particles. Although considerable work has been done in the past with focus on the analysis of the mixing-segregation behaviour and predictions of fluid dynamics regime transitions, a lack of knowledge still exists in the analysis of bubbles properties measurements for the case of polydispersed systems.In this work, digital image analysis has been adopted to accurately measure fundamental global parameters such as bubble hold up and bed expansion as well as average bubble hold-up distribution maps or bubble size distributions in bubbling fluidized beds of binary mixtures of particles. The experiments have been carried out at steady state conditions with binary mixtures of corundum particles, at various inlet gas velocities. This preliminary study has been performed with the aim to collect valuable data for future development of predictive models and validation of CFD codes.

Automated Image Analysis Of Nuclear And Cytoplasmic Changes In Exfoliated Cells From Tracheas Treated With Carcinogen

1977 ◽  
Vol 35 ◽  
pp. 220-221
Author(s):  
S.F. Stinson ◽  
J.C. Lilga ◽  
M.B. Sporn
Keyword(s):  
Image Analysis ◽  
Pattern Analysis ◽  
Relative Proportion ◽  
Automated Image Analysis ◽  
Image Analyzer ◽  
Cross Sectional ◽  
Exfoliated Cells ◽  
Neoplastic Lesions ◽  
Analysis System ◽  
Morphologic Criterion

Increased nuclear size, resulting in an increase in the relative proportion of nuclear to cytoplasmic sizes, is an important morphologic criterion for the evaluation of neoplastic and pre-neoplastic cells. This paper describes investigations into the suitability of automated image analysis for quantitating changes in nuclear and cytoplasmic cross-sectional areas in exfoliated cells from tracheas treated with carcinogen.Neoplastic and pre-neoplastic lesions were induced in the tracheas of Syrian hamsters with the carcinogen N-methyl-N-nitrosourea. Cytology samples were collected intra-tracheally with a specially designed catheter (1) and stained by a modified Papanicolaou technique. Three cytology specimens were selected from animals with normal tracheas, 3 from animals with dysplastic changes, and 3 from animals with epidermoid carcinoma. One hundred randomly selected cells on each slide were analyzed with a Bausch and Lomb Pattern Analysis System automated image analyzer.

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