TY - GEN
T1 - Segmentation and Registration of High-Frequency Ultrasound Images of Superficial Veins
AU - Pyciński, Bartłomiej
AU - Czajkowska, Joanna
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Due to the fast development of imaging techniques, high-frequency ultrasound finds new application fields, e.g. in dermatology or cosmetology. Ultrasound images are widely used for assessment of skin diseases or ageing. Therefore, there appear needs to develop new algorithms for ultrasound image segmentation, registration and analysis. To meet these needs, the authors propose a method for segmentation and registration of superficial veins in high-frequency and classic ultrasound images. The developed technique is divided into two parts. Firstly, the superficial veins are segmented in images of both modalities using the geodesic active contour model. The segmentation results provide initial points for further registration steps. The obtained segmentation masks are compared with the expert delineations resulting in average Dice Index equal to 0.89.
AB - Due to the fast development of imaging techniques, high-frequency ultrasound finds new application fields, e.g. in dermatology or cosmetology. Ultrasound images are widely used for assessment of skin diseases or ageing. Therefore, there appear needs to develop new algorithms for ultrasound image segmentation, registration and analysis. To meet these needs, the authors propose a method for segmentation and registration of superficial veins in high-frequency and classic ultrasound images. The developed technique is divided into two parts. Firstly, the superficial veins are segmented in images of both modalities using the geodesic active contour model. The segmentation results provide initial points for further registration steps. The obtained segmentation masks are compared with the expert delineations resulting in average Dice Index equal to 0.89.
KW - High-frequency ultrasound
KW - Image registration
KW - Image segmentation
KW - Medical image analysis
KW - Superficial veins
UR - https://www.scopus.com/pages/publications/85094120037
U2 - 10.1007/978-3-030-52180-6_37
DO - 10.1007/978-3-030-52180-6_37
M3 - Conference contribution
AN - SCOPUS:85094120037
SN - 9783030521790
T3 - Advances in Intelligent Systems and Computing
SP - 361
EP - 369
BT - Innovations in Biomedical Engineering, AAB 2020
A2 - Gzik, Marek
A2 - Paszenda, Zbigniew
A2 - Pietka, Ewa
A2 - Tkacz, Ewaryst
A2 - Milewski, Krzysztof
A2 - Milewski, Krzysztof
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Scientific Conference Advances in Applied Biomechanics, AAB 2020
Y2 - 15 May 2020 through 17 May 2020
ER -