Characterization of gray-scale morphological granulometries

Author(s):  
Edward R. Dougherty
Keyword(s):  
1997 ◽  
Vol 26 (6) ◽  
pp. 332-336 ◽  
Author(s):  
K Yoshiura ◽  
K Miwa ◽  
K Yuasa ◽  
K Tokumori ◽  
S Kanda ◽  
...  

1994 ◽  
Vol 13 (11) ◽  
pp. 835-840 ◽  
Author(s):  
J R Carter ◽  
M Lau ◽  
A K Saltzman ◽  
E M Hartenbach ◽  
M D Chen ◽  
...  
Keyword(s):  

2021 ◽  
Vol 15 (7) ◽  
pp. 1456-1460
Author(s):  
Furozan Baig ◽  
Sayyeda khadija ◽  
Nimra Afzal ◽  
Irum Raheem

Background: Characterization of ovarian masses is essentially required and inevitable for optimization of clinical decision making, patient care and management. The diagnosis of ovarian masses is a frequent dilemma in clinical work. Ultrasonography remains the modality of choice in the early investigation of suspected adnexal masses because of its availability and being a safe modality. Aim: To review the current literature on different patterns of manifestation of ovarian masses on ultrasound and its various modes, helping in differential diagnosis on the basis of morphologic, vascular and other characteristics as seen on ultrasound. Methods: Electronic database was searched (PubMed, Google Scholar, Science direct) with data ranging from year 2000 to 2021. Most relevant studies, relating to sonographic appearances of ovarian masses were selected. Results: Twenty five most relevant articles were found: 8 articles were regarding gray-scale ultrasound, 3 articles regarding three dimensional ultrasonography, 2 articles regarding contrast enhanced ultrasonography, 2 regarding elastography and rest were regarding combined use of gray-scale and Doppler ultrasound including color and power Doppler ultrasonography for the assessment of ovarian masses. Our results show that conventional 2D sonography, in conjunction with latest advancements helps improving the diagnosis based on typical sonographic appearances of masses. Screening for ovarian cancer also proves to be helpful for early diagnosis and improvement in survival rate. Conclusion: Ultrasonoraphy and its different modalities such as 3DUS, CEUS, elastography along with conventional 2D and Doppler studies accurately identifies morphologic, structural and vascular featuresof the adnexal masses and differential diagnosis by escapingunnecessary surgeries and improving the survival rate. Keywords: Ultrasonography, Ovarian masses, malignant ovarian masses, contrast enhanced ultrasound,


2021 ◽  
Vol 9 ◽  
Author(s):  
Martin Balcewicz ◽  
Mirko Siegert ◽  
Marcel Gurris ◽  
Matthias Ruf ◽  
David Krach ◽  
...  

Over the last 3 decades, Digital Rock Physics (DRP) has become a complementary part of the characterization of reservoir rocks due to the non-destructive testing character of this technique. The use of high-resolution X-ray Computed Tomography (XRCT) has become widely accepted to create a digital twin of the material under investigation. Compared to other imaging techniques, XRCT technology allows a location-dependent resolution of the individual material particles in volume. However, there are still challenges in assigning physical properties to a particular voxel within the digital twin, due to standard histogram analysis or sub-resolution features in the rock. For this reason, high-resolution image-based data from XRCT, transmitted-light microscope, Scanning Electron Microscope (SEM) as well as geological input properties like geological diagenesis, mineralogical composition, sample’s microfabrics, and estimated sample’s porosity are combined to obtain an optimal spatial segmented image of the studied Ruhr sandstone. Based on a homogeneity test, which corresponds to the evaluation of the gray-scale image histogram, the preferred scan sample sizes in terms of permeability, thermal, and effective elastic rock properties are determined. In addition, these numerically derived property predictions are compared with laboratory measurements to obtain possible upper limits for sample size, segmentation accuracy, and a geometrically calibrated digital twin of the Ruhr sandstone. The comparison corresponding gray-scale image histograms as a function of sample sizes with the corresponding advanced numerical simulations provides a unique workflow for reservoir characterization of the Ruhr sandstone.


2000 ◽  
Vol 118 (4) ◽  
pp. A974
Author(s):  
Yuko Kono ◽  
Robert F. Mattrey ◽  
Sean P. Pinnell ◽  
Steve Rose ◽  
Tarek Hassanein ◽  
...  

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