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      페이스 스캔과 구강내 스캔 정합의 정확도 : CBCT 기반 통합과의 검증

      한글로보기

      https://www.riss.kr/link?id=T17411583

      • 저자
      • 발행사항

        용인 : 단국대학교 대학원(천), 2026

      • 학위논문사항
      • 발행연도

        2026

      • 작성언어

        한국어

      • 주제어
      • DDC

        617.6 판사항(23)

      • 발행국(도시)

        경기도

      • 기타서명

        Accuracy of Face Scan and Intraoral Scan Registration Without CBCT: A Validation Against CBCT-Based Integration

      • 형태사항

        23p. ; : 삽화 ; 30cm.

      • 일반주기명

        단국대학교 논문은 저작권에 의해 보호받습니다.
        지도교수:이상민
        참고문헌 : 18-21p.

      • UCI식별코드

        I804:11017-000000202892

      • 소장기관
        • 단국대학교 퇴계기념도서관(중앙도서관) 소장기관정보
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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Introduction : This study evaluated whether CBCT-free registration of facial scans (FS) and intraoral scans (IOS) can clinically approximate a conventional CBCT- anchored workflow. Twenty-three orthodontic patients with same-day CBCT, facial scans, and IOS were analyzed. Methods : Two conditions were compared: (1) CBCT-free integration of smile/rest facial scans and IOS using the RAYFace system, and (2) CBCT-anchored integration of CBCT, IOS, and facial scans using R2Gate with three-point matching and coordinate definition from the midpalatal suture and Frankfort horizontal plane. All data were transferred to CloudCompare. The CBCT-based model served as the reference; the CBCT-free model was rigidly aligned, and the resulting 4×4 transformation matrix was used to extract rotations (pitch, yaw, roll) and translations (X, Y, Z). Linear deviations at the maxillary central incisor contact point and the mesiobuccal cusps of #16 and #26 were also calculated. Result : No systematic directional bias was observed between workflows. However, the absolute residual differences were not negligible. Pitch showed the greatest rotational deviation (≈1.4°), and vertical translation showed the greatest linear deviation (≈0.7 mm). Tooth-level discrepancies were ≈0.95 mm anteriorly and ≈1.2 mm posteriorly. Conclusion : These findings indicate that a CBCT-free “virtual patient” workflow can achieve approximately 1 mm anterior agreement but is limited by pitch-dominant error and larger posterior discrepancies.
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      Introduction : This study evaluated whether CBCT-free registration of facial scans (FS) and intraoral scans (IOS) can clinically approximate a conventional CBCT- anchored workflow. Twenty-three orthodontic patients with same-day CBCT, facial scans, an...

      Introduction : This study evaluated whether CBCT-free registration of facial scans (FS) and intraoral scans (IOS) can clinically approximate a conventional CBCT- anchored workflow. Twenty-three orthodontic patients with same-day CBCT, facial scans, and IOS were analyzed. Methods : Two conditions were compared: (1) CBCT-free integration of smile/rest facial scans and IOS using the RAYFace system, and (2) CBCT-anchored integration of CBCT, IOS, and facial scans using R2Gate with three-point matching and coordinate definition from the midpalatal suture and Frankfort horizontal plane. All data were transferred to CloudCompare. The CBCT-based model served as the reference; the CBCT-free model was rigidly aligned, and the resulting 4×4 transformation matrix was used to extract rotations (pitch, yaw, roll) and translations (X, Y, Z). Linear deviations at the maxillary central incisor contact point and the mesiobuccal cusps of #16 and #26 were also calculated. Result : No systematic directional bias was observed between workflows. However, the absolute residual differences were not negligible. Pitch showed the greatest rotational deviation (≈1.4°), and vertical translation showed the greatest linear deviation (≈0.7 mm). Tooth-level discrepancies were ≈0.95 mm anteriorly and ≈1.2 mm posteriorly. Conclusion : These findings indicate that a CBCT-free “virtual patient” workflow can achieve approximately 1 mm anterior agreement but is limited by pitch-dominant error and larger posterior discrepancies.

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      목차 (Table of Contents)

      • Ⅰ. Introduction 1
      • Ⅱ. Material and Methods 4
      • Ⅲ. Results 9
      • Ⅳ. Discussion 11
      • Ⅴ. Conclusion 16
      • Ⅰ. Introduction 1
      • Ⅱ. Material and Methods 4
      • Ⅲ. Results 9
      • Ⅳ. Discussion 11
      • Ⅴ. Conclusion 16
      • References 17
      • Korean Abstract 21
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