Integration of 3D anatomical data obtained by CT imaging and 3D optical scanning for computer aided implant surgery

Abstract

BackgroundA precise placement of dental implants is a crucial step to optimize both prosthetic aspects and functional constraints. In this context, the use of virtual guiding systems has been recognized as a fundamental tool to control the ideal implant position. In particular, complex periodontal surgeries can be performed using preoperative planning based on CT data. The critical point of the procedure relies on the lack of accuracy in transferring CT planning information to surgical field through custom-made stereo-lithographic surgical guides.MethodsIn this work, a novel methodology is proposed for monitoring loss of accuracy in transferring CT dental information into periodontal surgical field. The methodology is based on integrating 3D data of anatomical (impression and cast) and preoperative (radiographic template) models, obtained by both CT and optical scanning processes.ResultsA clinical case, relative to a fully edentulous jaw patient, has been used as test case to assess the accuracy of the various steps concurring in manufacturing surgical guides. In particular, a surgical guide has been designed to place implants in the bone structure of the patient. The analysis of the results has allowed the clinician to monitor all the errors, which have been occurring step by step manufacturing the physical templates.ConclusionsThe use of an optical scanner, which has a higher resolution and accuracy than CT scanning, has demonstrated to be a valid support to control the precision of the various physical models adopted and to point out possible error sources. A case study regarding a fully edentulous patient has confirmed the feasibility of the proposed methodology.

3D Slicer as an image computing platform for the Quantitative Imaging Network

“…The APIs of the core classes are also exposed via Python wrapping mechanisms. In the recent years, the Python programming language has become a popular computing tool in the scientific community, in particular due to its broad applicability, relative simplicity and the availability of powerful open source scientific tools and libraries such as SciPy 13 . Python wrapping of the Slicer functionality makes it possible to develop fully functional scripted modules, thereby allowing quick prototyping and simplifying the development process.…”

Palatal volume and area assessment on digital casts generated from cone-beam computed tomography scans

“…24 Consequently, the automated process of best-fit superimposition seems to have the least possible error. 17,23 Moreover, using the same gingival plane for both pre-and postrecords can give more comparable results. Nevertheless, volume measurements calculated based on the superimposition of pre-and postdigital casts using the same reference plane has never been proposed.…”

“…Moreover, it may not be comparable between consecutive records because two reference planes have been selected to measure preand postvolumes without reorienting the casts. [21][22][23] One additional method was based on geometric measurements performed by tracing and dividing the palatal space into small sections with regular shapes used to calculate area and volume geometrically. 9 However, it followed straight lines and not the irregular surface, generating geometric shapes and lines that may not represent exactly the actual structural anatomy of the palate.…”

Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching

“…Many approaches to 3D optical imaging for patient setup have been proposed recently in surgery [23, 24] and RT [25-28]. 3D optical imaging for patient setup is advantageous because it is radiation free and can even monitor patient movement by capturing data in near real time [29].…”