TY - GEN
T1 - Multimodal Registration Algorithm of Plantar Pressure Images and Digital Scanner for the Characterization of the Diabetic Foot in the BASPI/FootLab Laboratory
AU - Luna, Yeison
AU - Zequera, Martha
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2024
Y1 - 2024
N2 - This project focuses on the BASPI/FootLab research line, “Emerging Technologies To Support Health Care and Independent living”. This paper shows the continuity to the improvement of the DIAPETICS platform, which supports the prevention of ulcers in patients with diabetic foot developed by the BASPI/FootLab laboratory, the implementation of a multimodal image registration algorithm was carried out to analyze the distribution of plantar pressures with the morphology of the foot, using plantar pressure and digital scanner images of the laboratory, thus using image processing techniques that allow to visually characterize and understand diabetic foot patterns that provide new information towards early diagnosis and identification of patients with peripheral neuropathy considered in the model to be developed by the laboratory. Once the multimodal image registration algorithm was implemented, its performance was evaluated by comparing it with other methods that have been implemented in the literature, thus obtaining performance measurements of all the multimodal image processing techniques, that seem useful in the comparison and characterization of the diabetic foot to verify whether it is possible to determine a normal and abnormal plantar pressure threshold, according to the results obtained.
AB - This project focuses on the BASPI/FootLab research line, “Emerging Technologies To Support Health Care and Independent living”. This paper shows the continuity to the improvement of the DIAPETICS platform, which supports the prevention of ulcers in patients with diabetic foot developed by the BASPI/FootLab laboratory, the implementation of a multimodal image registration algorithm was carried out to analyze the distribution of plantar pressures with the morphology of the foot, using plantar pressure and digital scanner images of the laboratory, thus using image processing techniques that allow to visually characterize and understand diabetic foot patterns that provide new information towards early diagnosis and identification of patients with peripheral neuropathy considered in the model to be developed by the laboratory. Once the multimodal image registration algorithm was implemented, its performance was evaluated by comparing it with other methods that have been implemented in the literature, thus obtaining performance measurements of all the multimodal image processing techniques, that seem useful in the comparison and characterization of the diabetic foot to verify whether it is possible to determine a normal and abnormal plantar pressure threshold, according to the results obtained.
KW - Diabetes
KW - Digital scanner
KW - Elderly
KW - Multimodal image registration
KW - Peripheral diabetic neuropathy
KW - Plantar pressure
KW - Podoscopy
UR - http://www.scopus.com/inward/record.url?scp=85181762585&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-49062-0_1
DO - 10.1007/978-3-031-49062-0_1
M3 - Conference contribution
AN - SCOPUS:85181762585
SN - 9783031490613
T3 - IFMBE Proceedings
SP - 3
EP - 12
BT - MEDICON’23 and CMBEBIH’23 - Proceedings of the Mediterranean Conference on Medical and Biological Engineering and Computing MEDICON and International Conference on Medical and Biological Engineering CMBEBIH—Volume 1
A2 - Badnjević, Almir
A2 - Gurbeta Pokvić, Lejla
PB - Springer Science and Business Media Deutschland GmbH
T2 - 16th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2023 and 5th International Conference on Medical and Biological Engineering, CMBEBIH 2023
Y2 - 14 September 2023 through 16 September 2023
ER -
