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Our method was found effective on PCMRI data to provide a 3D geometric model of the TA, to support morphometric and hemodynamic characterization of the aorta.

In the rehabilitation field, the use of additive manufacturing techniques to realize customized orthoses is increasingly widespread. Obtaining a 3D model for the 3D printing phase can be done following different methodologies. We consider the creation of personalized upper limb orthoses, also including fingers, starting from the acquisition of the hand geometry through accurate 3D scanning. However, hand scanning procedure presents differences between healthy subjects and patients affected by pathologies that compromise upper limb functionality. In this work, we present the concept and design of a 3D printed support to assist hand scanning of such patients. The device, realized with FDM additive manufacturing techniques in ABS material, allows palmar acquisitions, and its design and test are motivated by the following needs: (1) immobilizing the hand of patients during the palmar scanning to reduce involuntary movements affecting the scanning quality and (2) keeping hands open and in a correct position, especially to contrast the high degree of hypertonicity of spastic subjects. The resulting device can be used indifferently for the right and the left hand; it is provided in four-dimensional sizes and may be also suitable as a palmar support for the acquisition of the dorsal side of the hand.

The personalization of medical devices has made considerable progress in recent years. In the orthopedic field, following a typical reverse engineering approach, 3D scanning of anatomical regions of interest is the starting point for various kind of customized manufacturing, followed by the design of the device and its fabrication, particularly with additive manufacturing techniques. In this context, particularly challenging issues emerge from the customization of hand orthotic devices. The present work focuses on the identification and comparison of suitable scanning procedures in order to acquire accurate hand and fingers 3D models. Two different types of structured light scanners (static and real-time) were compared and several configuration of the hand were studied and acquired, allowing to evidence strength and weakness of the various approaches, while keeping in consideration the target application. In particular, the issues related to the presence of involuntary movements during acquisition are considered and possible solving approaches indicated.

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