Abstract
Ultrasound (US) medical imaging rises as a technique used to visualize nerve structures, among other applications. It has been used, typically, as a tool for assisting in the practice of peripheral nerve anesthesia. Due to its non-invasive nature, US may reduce the risk of injury to medical patients during surgical procedures. Despite its usefulness, it is challenging for anesthesiologists to perform the anesthesia process, mainly due to the presence of speckle and acoustic multiplicative noise, significantly degrading the image quality. Besides, the lack of homogeneity in the imaged structures disorients the anesthesiologist in the effective localization of the nerve structure. In this paper, we present the design and implementation of the software toolkit HAPAN (HAPAN is a Spanish acronym for Herramienta de Asistencia para la Práctica de Anestesia en Nervios periféricos-Assistance tool for the anesthesia of peripheral nerves.), developed in MATLAB, for the segmentation of different peripheral nerves in ultrasound images. HAPAN includes algorithms for automatic nerve segmentation based on appearance shape models, and image resolution enhancement.
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Notes
- 1.
The average execution time of the algorithm with a \(\times \)2 factor is about one hour.
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Acknowledgments
This work was developed for the research project 111074455958 funded by Colciencias. The authors also acknowledge the electrical engineering master program of Universidad Tecnologica de Pereira for supporting the research project development.
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Hernández-Muriel, J.A., Mejía-Hernández, J.C., Echeverry-Correa, J.D., Orozco, A.A., Cárdenas-Peña, D. (2019). HAPAN: Support Tool for Practicing Regional Anesthesia in Peripheral Nerves. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Understanding the Brain Function and Emotions. IWINAC 2019. Lecture Notes in Computer Science(), vol 11486. Springer, Cham. https://doi.org/10.1007/978-3-030-19591-5_14
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