TY  - CHAP
A1  - Pohle-Fröhlich, Regina
A1  - Dalitz, Christoph
A1  - Richter, Charlotte
A1  - Hahnen, Tobias
A1  - Stäudle, Benjamin
A1  - Albracht, Kirsten
T1  - Estimation of muscle fascicle orientation in ultrasonic images
T2  - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5
N2  - We compare four different algorithms for automatically estimating the muscle fascicle angle from ultrasonic images: the vesselness filter, the Radon transform, the projection profile method and the gray level cooccurence matrix (GLCM). The algorithm results are compared to ground truth data generated by three different experts on 425 image frames from two videos recorded during different types of motion. The best agreement with the ground truth data was achieved by a combination of pre-processing with a vesselness filter and measuring the angle with the projection profile method. The robustness of the estimation is increased by applying the algorithms to subregions with high gradients and performing a LOESS fit through these estimates.
Y1  - 2020
SN  - 978-989-758-402-2
U6  - https://doi.org/10.5220/0008933900790086
N1  - 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISAPP 2020, Valletta, Malta
SP  - 79
EP  - 86
PB  - SciTePress
CY  - Setúbal, Portugal
ER  - 
TY  - CHAP
A1  - Iomdina, Elena N.
A1  - Kiseleva, Anna A.
A1  - Kotliar, Konstantin
A1  - Luzhnov, Petr V.
T1  - Quantification of Choroidal Blood Flow Using the OCT-A System Based on Voxel Scan Processing
T2  - Proceedings of the International Conference on Biomedical Innovations and Applications- BIA 2020
N2  - The paper presents a method for the quantitative assessment of choroidal blood flow using an OCT-A system. The developed technique for processing of OCT-A scans is divided into two stages. At the first stage, the identification of the boundaries in the selected portion was performed. At the second stage, each pixel mark on the selected layer was represented as a volume unit, a voxel, which characterizes the region of moving blood. Three geometric shapes were considered to represent the voxel. On the example of one OCT-A scan, this work presents a quantitative assessment of the blood flow index. A possible modification of two-stage algorithm based on voxel scan processing is presented.
Y1  - 2020
SN  - 978-1-7281-7073-2
U6  - https://doi.org/10.1109/BIA50171.2020.9244511
N1  - International Conference on Biomedical Innovations and Applications, Varna, Bulgaria, September 24 - 27, 2020
SP  - 41
EP  - 44
PB  - IEEE
CY  - New York, NY
ER  -