實(shí)用新型的CBCT重建模型與激光掃描牙齒STL模型的融合方法
發(fā)布時(shí)間：2019-06-27 18:16
【摘要】：目的本研究將患者的CBCT數(shù)據(jù)和激光掃描的高精度上下頜牙齒模型的數(shù)據(jù)采用局部配準(zhǔn)的方法進(jìn)行融合,建立數(shù)字化三維顱(?)模型,并對配準(zhǔn)的精度進(jìn)行評價(jià)。為評價(jià)正畸矯治效果尤其是隱形矯治效果及口腔頜面外科獲取精確患者咬合模型提供簡便且精確性可評估的方法。材料和方法本研究選取 2015 到 2016 年間接受隱適美(Invisalign,Align Technology,Santa ClaraCA,USA)正畸治療的10名成年患者,這些患者的所有恒牙均已經(jīng)萌出,不存在其他明顯的顱面結(jié)構(gòu)異常。所有患者由同一操作者進(jìn)行NewTom 5G(QR,Verona,Italy)CBCT掃描,掃描數(shù)據(jù)以DICOM格式輸出并儲(chǔ)存。我們將數(shù)據(jù)導(dǎo)入到 Mimics17.0(Materialise's interactive medical image control system)軟件中,運(yùn)用Mimics進(jìn)行閾值選擇,形成上下頜頜骨及各自牙列相對獨(dú)立且保有原始相對位置的3D數(shù)字化模型。利用兩步法硅橡膠取模技術(shù),取得患者上下頜牙列及周圍軟組織的精確陰模,用牙科超硬石膏灌制模型,從而得到精確的石膏陽模。利用Activity 888高精度掃描儀(Smart OpticsGnbH,Bochum,Germany)將石膏陽模數(shù)字化,以STL文件格式導(dǎo)出。將激光掃描得到的STL文件導(dǎo)入Mimics軟件,利用Mimics軟件的點(diǎn)配準(zhǔn)功能及STL配準(zhǔn)功能,先選取牙齒(?)面較有特征的結(jié)構(gòu)進(jìn)行點(diǎn)配準(zhǔn),之后對激光掃描產(chǎn)生的STL數(shù)據(jù)與重建的CBCT模型以牙列的所有臨床冠為基準(zhǔn)進(jìn)行局部配準(zhǔn)。配準(zhǔn)完成后,將配準(zhǔn)結(jié)果以MCS文件格式保存。利用3-matic9.0軟件打開MCS文件。首先在從掃描儀獲取的牙齒模型上選出牙列的臨床冠部分。接著通過計(jì)算CBCT模型和掃描儀獲取的STL模型的空間相對的點(diǎn)云中的點(diǎn)到點(diǎn)的距離可得到兩模型在該區(qū)域距離的均方根值(RootMeanSquare,RMS)即綜合平均距離。當(dāng)RMS小于0.3mm(CBCT圖像體素值)時(shí),可認(rèn)為兩個(gè)模型的配準(zhǔn)精度好,誤差可忽略。配準(zhǔn)精度得到確認(rèn)之后,在Mimics中打開之前保存的MCS文件,將CBCT模型的臨床牙冠部分去除,融合CBCT模型與STL牙列模型。結(jié)果1.距離云圖的分析從距離云圖上可以看出,大部分的臨床牙冠區(qū)域的顏色為綠色,說明兩個(gè)模型在該區(qū)域的距離趨近于0。2.CBCT重建模型與掃描模型在臨床冠部分的配準(zhǔn)后距離分析利用軟件提供的數(shù)據(jù),可計(jì)算出兩平面的RMS數(shù)值均小于0.3mm。3.上下頜牙列咬合情況的三維重建完成模型后,咬合情況可準(zhǔn)確再現(xiàn)。結(jié)論1.通過計(jì)算兩模型綜合相對距離(RMS)值的方式,量化地體現(xiàn)和評估了數(shù)字化激光掃描模型和CBCT重建的模型局部配準(zhǔn)后的精度。2.利用掃描獲得的高精度牙列數(shù)字模型與CBCT重建模型的局部配準(zhǔn)可獲得具有高清晰度牙列,咬合關(guān)系,齦緣形態(tài),頭顱骨骼結(jié)構(gòu)的3D數(shù)字化模型。
[Abstract]:Objective in this study, the CBCT data of the patients and the data of the high precision maxillary and mandibular teeth model scanned by laser were combined with the local registration method, and the digital three-dimensional skull (?) Model, and the accuracy of registration is evaluated. It provides a simple and accurate method for evaluating the effect of orthodontic correction, especially invisible correction, and obtaining accurate occlusal model in oral and maxillofacial surgery. Materials and methods Ten adult patients undergoing orthodontic treatment with Invisalign,Align Technology,Santa ClaraCA,USA from 2015 to 2016 were selected. All the permanent teeth of these patients had sprouted and there were no other obvious craniofacial structural abnormalities. All patients were scanned with NewTom 5G (QR,Verona,Italy) CBCT by the same operator, and the scanning data were output and stored in DICOM format. We import the data into Mimics17.0 (Materialise's interactive medical image control system) software and use Mimics for threshold selection to form a 3D digital model of jaw and their dentition which is relatively independent and maintains the original relative position. By using two-step silicone rubber molding technique, the accurate negative mold of maxillary dentition and surrounding soft tissue was obtained, and the dental superanhydrite filling model was used to obtain the accurate plaster positive mold. The gypsum positive mould is digitized by Activity 888 high precision scanner (Smart OpticsGnbH,Bochum,Germany) and exported in STL file format. The STL file obtained by laser scanning is imported into Mimics software. By using the point registration function and STL registration function of Mimics software, the teeth (?) The point registration of the structure with characteristic surface is carried out, and then the STL data generated by laser scanning and the reconstructed CBCT model are locally registered on the basis of all the clinical crowns of the dentition. After registration, the registration results are saved in MCS file format. Use 3-matic9.0 software to open MCS file. First, the clinical crown part of the dentition was selected on the tooth model obtained from the scanner. Then the root mean square value (RootMeanSquare,RMS) of the distance between the two models in this region can be obtained by calculating the distance from point to point in the space relative to the point cloud of the STL model obtained by the CBCT model and the scanner. When RMS is less than 0.3mm (CBCT image voxel value), it can be considered that the registration accuracy of the two models is good and the error can be ignored. After the registration accuracy is confirmed, the MCS file saved before is opened in Mimics, the clinical crown part of CBCT model is removed, and the CBCT model and STL dentition model are combined. Result 1. The analysis of distance cloud image shows that the color of most clinical crown areas is green, which indicates that the distance between the two models in this area is closer to that of 0.2.CBCT reconstruction model and scanning model after registration of clinical crown part. Using the data provided by the software, it can be calculated that the RMS values of both planes are less than 0.3 mm. 3. After the three-dimensional reconstruction of maxillary and maxillary dentition occlusal condition is completed, the occlusal situation can be reproduced accurately. Conclusion 1. By calculating the relative distance (RMS) value of the two models, the accuracy of local registration of digital laser scanning model and CBCT reconstructed model is quantitatively reflected and evaluated. 2. 3D digital model with high definition dentition, occlusal relationship, gum edge shape and skull bone structure can be obtained by local registration of high precision dentition digital model and CBCT reconstruction model obtained by scanning.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：R783.5
本文編號：2507026
[Abstract]:Objective in this study, the CBCT data of the patients and the data of the high precision maxillary and mandibular teeth model scanned by laser were combined with the local registration method, and the digital three-dimensional skull (?) Model, and the accuracy of registration is evaluated. It provides a simple and accurate method for evaluating the effect of orthodontic correction, especially invisible correction, and obtaining accurate occlusal model in oral and maxillofacial surgery. Materials and methods Ten adult patients undergoing orthodontic treatment with Invisalign,Align Technology,Santa ClaraCA,USA from 2015 to 2016 were selected. All the permanent teeth of these patients had sprouted and there were no other obvious craniofacial structural abnormalities. All patients were scanned with NewTom 5G (QR,Verona,Italy) CBCT by the same operator, and the scanning data were output and stored in DICOM format. We import the data into Mimics17.0 (Materialise's interactive medical image control system) software and use Mimics for threshold selection to form a 3D digital model of jaw and their dentition which is relatively independent and maintains the original relative position. By using two-step silicone rubber molding technique, the accurate negative mold of maxillary dentition and surrounding soft tissue was obtained, and the dental superanhydrite filling model was used to obtain the accurate plaster positive mold. The gypsum positive mould is digitized by Activity 888 high precision scanner (Smart OpticsGnbH,Bochum,Germany) and exported in STL file format. The STL file obtained by laser scanning is imported into Mimics software. By using the point registration function and STL registration function of Mimics software, the teeth (?) The point registration of the structure with characteristic surface is carried out, and then the STL data generated by laser scanning and the reconstructed CBCT model are locally registered on the basis of all the clinical crowns of the dentition. After registration, the registration results are saved in MCS file format. Use 3-matic9.0 software to open MCS file. First, the clinical crown part of the dentition was selected on the tooth model obtained from the scanner. Then the root mean square value (RootMeanSquare,RMS) of the distance between the two models in this region can be obtained by calculating the distance from point to point in the space relative to the point cloud of the STL model obtained by the CBCT model and the scanner. When RMS is less than 0.3mm (CBCT image voxel value), it can be considered that the registration accuracy of the two models is good and the error can be ignored. After the registration accuracy is confirmed, the MCS file saved before is opened in Mimics, the clinical crown part of CBCT model is removed, and the CBCT model and STL dentition model are combined. Result 1. The analysis of distance cloud image shows that the color of most clinical crown areas is green, which indicates that the distance between the two models in this area is closer to that of 0.2.CBCT reconstruction model and scanning model after registration of clinical crown part. Using the data provided by the software, it can be calculated that the RMS values of both planes are less than 0.3 mm. 3. After the three-dimensional reconstruction of maxillary and maxillary dentition occlusal condition is completed, the occlusal situation can be reproduced accurately. Conclusion 1. By calculating the relative distance (RMS) value of the two models, the accuracy of local registration of digital laser scanning model and CBCT reconstructed model is quantitatively reflected and evaluated. 2. 3D digital model with high definition dentition, occlusal relationship, gum edge shape and skull bone structure can be obtained by local registration of high precision dentition digital model and CBCT reconstruction model obtained by scanning.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：R783.5
【引證文獻(xiàn)】
相關(guān)碩士學(xué)位論文 前1條
1 張潤生;數(shù)字化口腔種植導(dǎo)板設(shè)計(jì)及3D打印關(guān)鍵問題研究[D];河北科技大學(xué);2018年
，本文編號：2507026
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