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논문 기본 정보

자료유형
학술저널
저자정보
Seungwoo Kang (Soongsil University) Hyeonjun Kim (INKA Entworks) Taeyong Park (Hallym University Medical Center) Jeongjin Lee (Soongsil University) Hyunjoo Song (Soongsil University)
저널정보
Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.16 No.4
발행연도
2022.12
수록면
211 - 221 (11page)
DOI
10.5626/JCSE.2022.16.4.211

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초록· 키워드

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This study aims to propose a precise rigid-body face registration method that does not require an invasive marker attachment for surgical navigation devices. The non-invasive face registration involved the following steps: 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 prior to the procedure; an initial registration is attempted on the two previously extracted feature points; secondary registration was performed using a coherent point drift (CPD) algorithm; and using the Powell method, precise registration was 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 enabled precise rigid-body face registration in a non-invasive manner using only skin coordinates.

목차

Abstract
I. INTRODUCTION
II. RELATED WORK
III. METHODOLOGY
IV. EXPERIMENTS AND RESULTS
V. CONCLUSION
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