Low-cost phantoms for validating measurements in ultrasound vascular images

Hugo Luis Manterola; Lucas Lo Vercio; Alejandro Díaz; Pamela Alejandra Pardini; María Victoria Waks Serra; Mariana del Fresno; Ignacio Larrabide

doi:10.1117/12.2255750

26 January 2017 Low-cost phantoms for validating measurements in ultrasound vascular images

Hugo Luis Manterola, Lucas Lo Vercio, Alejandro Díaz, Pamela Alejandra Pardini, María Victoria Waks Serra, Mariana del Fresno, Ignacio Larrabide

Author Affiliations +

Proceedings Volume 10160, 12th International Symposium on Medical Information Processing and Analysis; 1016013 (2017) https://doi.org/10.1117/12.2255750
Event: 12th International Symposium on Medical Information Processing and Analysis, 2016, Tandil, Argentina

Abstract

Ultrasound is widely used as an inexpensive, real-time method for imaging vascular tissue. However, sonographs often lack automatic or semi-automatic software for measuring vascular diameter precisely, especially in low- and mid-income countries or institutions. Tools can be developed to perform this task, but they must be validated before being accepted for clinic use. For that purpose, in this work we present low-cost phantoms that resemble vascular tissue when subjected to ultrasound. Several materials are analysed and a step-by-step recipe for building a simple phantom is presented. Qualitatively, models were imaged by an ultrasound expert physician, and several characteristic are assessed. Quantitatively, a comparison between ultrasound and caliper measurements of the phantoms is presented. Finally, a discussion about the results and the recommended materials for low-cost vascular phantoms is carried out.

Citation Download Citation

Hugo Luis Manterola, Lucas Lo Vercio, Alejandro Díaz, Pamela Alejandra Pardini, María Victoria Waks Serra, Mariana del Fresno, and Ignacio Larrabide "Low-cost phantoms for validating measurements in ultrasound vascular images", Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 1016013 (26 January 2017); https://doi.org/10.1117/12.2255750

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