술자의 영상정합의 경험이 컴퓨터 단층촬영과 광학스캔 영상 간의 정합 정확성과 작업시간에 미치는 영향
Effect of image matching experience on the accuracy and working time for 3D image registration between radiographic and optical scan images
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목적: 본 연구의 목적은 컴퓨터 단층촬영과 광학스캔 영상의 정합에서 술자의 경험이 정합의 정확성과 소요시간에 미치는 영향을 조사하는 것이다. 재료 및 방법: 치아결손이 없는 성인 악궁의 컴퓨터 단층촬영과 광학스캔 영상(IDC S1, Amann Girrbach, Koblah,Austria)이 수집되었다. 두 영상간의 영상정합이 임플란트 진단 소프트웨어(Implant Studio, 3Shape, Copenhagen, Denmark)에서 점 기반 자동매칭 방식으로 행해졌다. 영상정합 경험자 군과 미경험자 군으로 나누어 진행되었으며 작업시간이 기록되었다(군당 15명). 각 군의 영상 정합 정확성은 구치부에서의 선형 오차값으로 측정되었다. 정확성 값과 작성시간의 통계적 비교 분석을 위해 유의수준 0.05에서 독립표본 t검정이 이용되었다. 결과: 영상정합의 선형오차값은 경험자 군과 미경험자 군 간에 통계적인 차이가 없었다. 영상정합에 소요한 시간은 경험자 군이 미경험자 군에 비해 유의하게 짧았다(P = .007). 결론: 술자의 영상정합의 경험의 차이는 점 기반 자동정합이 사용된 경우 정합 정확성에 유의한 영향을 미치지 않는 것으로 보인다. 경험자에서 정합에 소요된 시간은 짧았다.
Abstract
Purpose. The purpose of the present study was to investigate the effects of image matching experience of operators on the accuracy and working time of image registration between radiographic and optical scan images. Materials and methods. Computed tomography and optical scan of a dentate dental arch were obtained. Image matching between the computed tomography and the optical scan (IDC S1, Amann Girrbach, Koblah, Austria) was performed using the point-based automatic registration method in planning software programs (Implant Studio, 3Shape, Copenhagen, Denmark) using two different experience conditions on image registration: experienced group and inexperienced group (n = 15 per group, N = 30). The accuracy of image registration in each group was evaluated by measuring linear discrepancies between matched images, and working time was recorded. Independent t test was used to statistically analyze the result data (α = .05). Results. In the linear deviation, no statistically significant difference was found between the experienced and inexperienced groups. Meanwhile, the working time for image registration was significantly shorter in the experienced group than in the inexperienced group (P = .007). Conclusion. Difference in the image matching experience may not influence the accuracy of image registration of optical scan to computed tomography when the point-based automatic registration was used, but affect the working time for the image registration.
참고문헌 (15)
- Flügge T, "Registration of cone beam computed tomography data and intraoral surface scans-A prerequisite for guided implant surgery with CAD", CAM drilling guides, 2017, pp.28, 1113~1118
- 이두형, "Accuracy of a direct drill-guiding system with minimal tolerance of surgical instruments used for implant surgery: a prospective clinical study", The Journal of Advanced of Prosthodontics, 8(3), pp.207~213 (2016), 대한치과보철학회[DOI]
- Widmann G, "Accuracy in computer-aided implant surgery-a review", Int J Oral Maxillofac Implants, 21, pp.305~313 (2006)
- Lin X, "Pointbased superimposition of a digital dental model on to a three-dimensional computed tomographic skull : an accuracy study in vitro", Br J Oral Maxillofac Surg, 53, pp.28~33 (2015)
- Rangel FA, "Integration of digital dental casts in cone beam computed tomography scans-a clinical validation study", Clin Oral Investig, 22, pp.1215~1222 (2018)
- He Y, "An iterative closest points algorithm for registration of 3D laser scanner point clouds with geometric features", Sensors(Basel), 17, pp.1862~ (2017)
- Almukhtar A, "Comparison of the accuracy of voxel based registration and surface based registration for 3D assessment of surgical change following orthognathic surgery", PLoS One, 9, pp.e93402~ (2014)
- Xie Z, "A high-accuracy method for fine registration of overlapping point clouds", Image Vis Comput, 28, pp.563~570 (2010)
- Cheng L, "Semi-automatic registration of airborne and terrestrial laser scanning data using building corner matching with boundaries as reliability check", Remote Sens, 5, pp.6260~6283 (2013)
- Choi YD, "The effects of distribution of image matched fiducial markers on accuracy of computer-guided implant surgery", J Prosthodont, 29, pp.409~414 (2020)
- Jamjoom FZ, "Effect of length and location of edentulous area on the accuracy of prosthetic treatment plan incorporation into cone-beam computed tomography scans", Clin Implant Dent Relat Res, 20, pp.300~307 (2018)
- Mai HY, "Impact of matching point selections on image registration accuracy between optical scan and computed tomography", Biomed Res Int, 2020, pp.3285431~ (2020)
- Akyalcin S, "Comparison of 3-dimensional dental models from different sources : diagnostic accuracy and surface registration analysis", Am J Orthod Dentofacial Orthop, 144, pp.831~837 (2013)
- Woo HW, "Comparison of the accuracy of image registration methods for merging optical scan and radiographic data in edentulous jaws", J Prosthodont, 29, pp.707~711 (2020)
- Kozunov VV, "Object recognition is enabled by an experience-dependent appraisal of visual features in the brain’s value system", Neuroimage, 221, pp.117143~ (2020)