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Proceedings Paper

Experimental validation of A-mode ultrasound acquisition system for computer assisted orthopaedic surgery
Author(s): Danilo De Lorenzo; Elena De Momi; Elisa Beretta; Pietro Cerveri; Franco Perona; Giancarlo Ferrigno
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Paper Abstract

Computer Assisted Orthopaedic Surgery (CAOS) systems improve the results and the standardization of surgical interventions. Anatomical landmarks and bone surface detection is straightforward to either register the surgical space with the pre-operative imaging space and to compute biomechanical parameters for prosthesis alignment. Surface points acquisition increases the intervention invasiveness and can be influenced by the soft tissue layer interposition (7-15mm localization errors). This study is aimed at evaluating the accuracy of a custom-made A-mode ultrasound (US) system for non invasive detection of anatomical landmarks and surfaces. A-mode solutions eliminate the necessity of US images segmentation, offers real-time signal processing and requires less invasive equipment. The system consists in a single transducer US probe optically tracked, a pulser/receiver and an FPGA-based board, which is responsible for logic control command generation and for real-time signal processing and three custom-made board (signal acquisition, blanking and synchronization). We propose a new calibration method of the US system. The experimental validation was then performed measuring the length of known-shape polymethylmethacrylate boxes filled with pure water and acquiring bone surface points on a bovine bone phantom covered with soft-tissue mimicking materials. Measurement errors were computed through MR and CT images acquisitions of the phantom. Points acquisition on bone surface with the US system demonstrated lower errors (1.2mm) than standard pointer acquisition (4.2mm).

Paper Details

Date Published: 13 March 2009
PDF: 12 pages
Proc. SPIE 7265, Medical Imaging 2009: Ultrasonic Imaging and Signal Processing, 726502 (13 March 2009); doi: 10.1117/12.811736
Show Author Affiliations
Danilo De Lorenzo, Politecnico di Milano (Italy)
Elena De Momi, Politecnico di Milano (Italy)
Elisa Beretta, Politecnico di Milano (Italy)
Pietro Cerveri, Politecnico di Milano (Italy)
Franco Perona, I.R.C.C.S. Istituto Ortopedico Galeazzi (Italy)
Giancarlo Ferrigno, Politecnico di Milano (Italy)


Published in SPIE Proceedings Vol. 7265:
Medical Imaging 2009: Ultrasonic Imaging and Signal Processing
Stephen A. McAleavey; Jan D'hooge, Editor(s)

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