The present paper presents the development of a novel procedure for the modeling of Surgical Cutting Guides (SCGs) exploiting an implicit modeling approach. As discussed in the text, this approach allows for a streamlined and efficient design of this type of medical device. A procedural approach based on the application of a series of a priori-known implicit modeling function allows the generation of personalized surgical guides starting from the i) patient’s anatomy and ii) clinical decisions made by the medical staff. The CAD procedure is detailed in the text; achieved results are discussed and compared with a traditional CAD modeling approach on three case studies.

A Semi-Automatic CAD Procedure to Design Custom-made Surgical Cutting Guides / Lorenzo Guariento, Francesco Buonamici, Antonio Marzola, Rocco Furferi, Yary Volpe. - In: COMPUTER-AIDED DESIGN AND APPLICATIONS. - ISSN 1686-4360. - ELETTRONICO. - 19:(2022), pp. 733-740. [10.14733/cadconfP.2022.733-740]

A Semi-Automatic CAD Procedure to Design Custom-made Surgical Cutting Guides

Lorenzo Guariento;Francesco Buonamici;Antonio Marzola;Rocco Furferi;Yary Volpe
2022

Abstract

The present paper presents the development of a novel procedure for the modeling of Surgical Cutting Guides (SCGs) exploiting an implicit modeling approach. As discussed in the text, this approach allows for a streamlined and efficient design of this type of medical device. A procedural approach based on the application of a series of a priori-known implicit modeling function allows the generation of personalized surgical guides starting from the i) patient’s anatomy and ii) clinical decisions made by the medical staff. The CAD procedure is detailed in the text; achieved results are discussed and compared with a traditional CAD modeling approach on three case studies.
2022
19
733
740
Goal 9: Industry, Innovation, and Infrastructure
Lorenzo Guariento, Francesco Buonamici, Antonio Marzola, Rocco Furferi, Yary Volpe
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1249937
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