JCSE, vol. 16, no. 4, pp.211-221, December, 2022

DOI: http://dx.doi.org/10.5626/JCSE.2022.16.4.211

Non-Invasive Face Registration for Surgical Navigation

Seungwoo Kang, Hyeonjun Kim, Taeyong Park, Jeongjin Lee, and Hyunjoo Song
School of Computer Science and Engineering, Soongsil University, Seoul, Korea INKA Entworks, Seoul, Korea Hallym University Medical Center, Gyeonggi-do, Korea School of Computer Science and Engineering, Soongsil University, Seoul, Korea

Abstract: This study aims to propose a precise rigid-body face registration method that does not require an invasive marker attachment for surgical navigation devices. Non-invasive face registration involves the following steps: (1) Anatomical feature points such as the eyes and nose are found from the computed tomography (CT) image and the location tracking device attached to the patient's forehead just prior to the procedure. (2) An initial registration is attempted on the two previously extracted feature points. (3) Secondary registration is performed using a coherent point drift (CPD) algorithm. (4) Using the Powell method, precise registration is performed to minimize the closest point registration error (CPRE). The CPRE co-registration accuracy was measured for the original and sampled phantom data, and the error was found to be 1.07 mm on average for skin coordinate data. The method introduced in this study enables precise rigid-body face registration in a non-invasive manner using only skin coordinates.

Keyword: rigid registration; face registration; 3D surgical navigation system; non-invasive registration; computer graphics

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