scholarly journals Vascular Network Analysis with Manual and Automatic Segmentation Using Fuzzy Mathematical Morphology

2019 ◽  
Author(s):  
Pedro Bibiloni ◽  
Manuel González-Hidalgo ◽  
Amau Mir ◽  
Nuria Prats-Domínguez
Keyword(s):  
Network Analysis ◽  
Mathematical Morphology ◽  
Automatic Segmentation ◽  
Vascular Network ◽  
Fuzzy Mathematical Morphology

Compensatory fuzzy mathematical morphology

2017 ◽  
Vol 11 (6) ◽  
pp. 1065-1072 ◽  
Author(s):  
Agustina Bouchet ◽  
Juan I. Pastore ◽  
Marcel Brun ◽  
Virginia L. Ballarin
Keyword(s):  
Mathematical Morphology ◽  
Fuzzy Mathematical Morphology

scholarly journals Deep tissue near-infrared imaging for vascular network analysis

2017 ◽  
Vol 10 (03) ◽  
pp. 1650051 ◽  
Author(s):  
Kübra Seker ◽  
Mehmet Engin
Keyword(s):  
Network Analysis ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Imaging System ◽  
Hemoglobin Concentration ◽  
Cost Effective ◽  
Vascular Network ◽  
Vascular Imaging ◽  
Nir Light ◽  
Optical Region

Subcutaneous vein network plays important roles to maintain microcirculation that is related to some diagnostic aspects. Despite developments of optical imaging technologies, still the difficulties about deep skin vascular imaging have been continued. On the other hand, since hemoglobin concentration of human blood has key role in the veins imaging by optical manner, the used wavelength in vascular imaging, must be chosen considering absorption of hemoglobin. In this research, we constructed a near infrared (NIR) light source because of lower absorption of hemoglobin in this optical region. To obtain vascular image, reflectance geometry was used. Next, from recorded images, vascular network analysis, such as calculation of width of vascular of interest and complexity of selected region were implemented. By comparing with other modalities, we observed that proposed imaging system has great advantages including nonionized radiation, moderate penetration depth of 0.5–3[Formula: see text]mm and diameter of 1[Formula: see text]mm, cost-effective and algorithmic simplicity for analysis.

Fuzzy mathematical morphology for color images defined by fuzzy preference relations

2016 ◽  
Vol 60 ◽  
pp. 720-733 ◽  
Author(s):  
Agustina Bouchet ◽  
Pedro Alonso ◽  
Juan Ignacio Pastore ◽  
Susana Montes ◽  
Irene Díaz
Keyword(s):  
Mathematical Morphology ◽  
Color Images ◽  
Preference Relations ◽  
Fuzzy Preference Relations ◽  
Fuzzy Preference ◽  
Fuzzy Mathematical Morphology

Automatic segmentation of newborn brain MRI using mathematical morphology

2011 ◽  
Author(s):  
Laura Gui ◽  
Radoslaw Lisowski ◽  
Tamara Faundez ◽  
Petra S. Huppi ◽  
Francois Lazeyras ◽  
...  
Keyword(s):  
Mathematical Morphology ◽  
Automatic Segmentation ◽  
Brain Mri ◽  
Newborn Brain
Sign in / Sign up

Export Citation Format

Share Document