Soft tissue coverage on the segmentation accuracy of the 3D surface-rendered model from cone-beam CT

Dusseldorp, Joost; Stamatakis, Harry; Ren, Yijin

doi:10.1007/s00784-016-1844-x

Cited by 11 publications

(10 citation statements)

References 49 publications

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“…First of all, the present series of medical imaging scans in vitro prevented realistic reconstruction of physiological loading conditions. In addition, the use of a single specimen and the manual segmentation procedure, though performed by a single operator, could have influenced the quality the final anatomical 3D models (57), in particular for the calculation of the talar parameters for prosthesis design. The present preliminary repeatability analysis shows that the observations are maintained also for other processing sessions of the same operator.…”

Section: Discussionmentioning

confidence: 99%

“…To assess the quality of these single and combined models also after these registration procedures, DMA was used as surface-to-surface analysis, performed by '3D compare' tool in Geomagic Control (48,57). In this tool, the '3D deviation' type was set, for which the shortest distance from each point on one surface (the 'Test') to any point on the other (the 'Reference') is reported as the result.…”

Section: Dmamentioning

confidence: 99%

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Comparison of cartilage and bone morphological models of the ankle joint derived from different medical imaging technologies

Durastanti¹,

Leardini²,

Siegler³

et al. 2019

Quant. Imaging Med. Surg.

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Background: Accurate geometrical models of bones and cartilage are necessary in biomechanical modelling of human joints, and in planning and designing of joint replacements. Image-based subjectspecific model development requires image segmentation, spatial filtering and 3-dimensional rendering. This is usually based on computed tomography (CT) for bone models, on magnetic resonance imaging (MRI) for cartilage models. This process has been reported extensively in the past, but no studies have ever compared the accuracy and quality of these models when obtained also by merging different imaging modalities.The scope of the present work is to provide this comparative analysis in order to identify optimal imaging modality and registration techniques for producing 3-dimensional bone and cartilage models of the ankle joint.Methods: One cadaveric leg was instrumented with multimodal markers and scanned using five different imaging modalities: a standard, a dual-energy and a cone-beam CT (CBCT) device, and a 1.5 and 3.0 Tesla MRI devices. Bone, cartilage, and combined bone and cartilage models were produced from each of these imaging modalities, and registered in space according to matching model surfaces or to corresponding marker centres. To assess the quality in overall model reconstruction, distance map analyses were performed and the difference between model surfaces obtained from the different imaging modalities and registration techniques was measured. Results:The registration between models worked better with model surface matching than corresponding marker positions, particularly with MRI. The best bone models were obtained with the CBCT. Models with cartilage were defined better with the 3.0 Tesla than the 1.5 Tesla. For the combined bone and cartilage models, the colour maps and the numerical results from distance map analysis (DMA) showed that the smallest distances and the largest homogeneity were obtained from the CBCT and the 3.0 T MRI via model surface registration.Conclusions: These observations are important in producing accurate bone and cartilage models from medical imaging and relevant for applications such as designing of custom-made ankle replacements or, more in general, of implants for total as well as focal joint replacements.

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Section: Discussionmentioning

confidence: 99%

Section: Dmamentioning

confidence: 99%

Comparison of cartilage and bone morphological models of the ankle joint derived from different medical imaging technologies

Durastanti¹,

Leardini²,

Siegler³

et al. 2019

Quant. Imaging Med. Surg.

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show abstract

“…In this in vitro study, the use of the human dry skull without a soft tissue substitute may involve a drawback, as it does not simulate the actual anatomy in a real clinical situation. Dusseldorp et al investigated the effect of soft tissue presence on the 3D image segmentation accuracy of hard tissue models from CBCT and concluded that, although the soft tissue presence appears to affect the accuracy of the 3D hard tissue model obtained from a CBCT scanner, discrepancies were below a generally clinical acceptable level of 1 mm [ 35 ]. Further studies should investigate how to optimize parameter settings to overcome the potential inaccuracy of image matching between CBCT and optical dental scan images in patient-based clinical trials.…”

Section: Discussionmentioning

confidence: 99%

Effects of Exposure Parameters and Voxel Size for Cone-Beam Computed Tomography on the Image Matching Accuracy with an Optical Dental Scan Image: An In Vitro Study

Mai

Lee

2021

BioMed Research International

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This study is aimed at assessing the effects of exposure parameters and voxel size for cone-beam computed tomography (CBCT) on the image matching accuracy with an optical dental scan image. CBCT and optical scan images of a dry human mandible were obtained. Different CBCT settings were used: tube voltage, 60, 80, and 100 kVp; tube current, 6 and 8 mA; and voxel size, 100, 200, and 300 μm. Image matching between the CBCT and optical scan images was performed using implant planning software by dental professionals ( n = 18 ). The image matching accuracy in each combination of CBCT settings was evaluated by assessing the linear discrepancy between the three-dimensionally reconstructed radiological image and the registered optical scan image using an image analysis software program. The Kruskal-Wallis test and a post hoc Mann–Whitney U test with Bonferroni correction were used to compare the accuracy of image registration between the groups ( α = 0.05 ). Overall, the image matching accuracy was not significantly different between tube voltage and current settings; however, significantly higher image registration errors were found at the combination of 100 kVp tube voltage/8 mA tube current ( F = 8.44 , P < 0.001 ). Changes in voxel sizes did not significantly interfere with the image registration results. No interaction was found among voltage, current, and voxel size in terms of image registration accuracy ( F = 2.022 , P = 0.091 ). Different exposure parameter settings in tube voltage and tube current did not significantly influence the image matching accuracy between CBCT and optical dental scan images; however, a high radiation dose could be inappropriate. The image matching accuracy was not significantly affected by changing the voxel sizes of CBCT.

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“…11 From their results, the underestimation caused by the CBCT is approximately 70% for thinner alveolar bone (thickness < 0.72 mm). Moreover, factors such as soft tissue coverage, 12 the bias of different doctors, and patients’ posture could result in the tendency difference of CBCT measurements. Therefore, the CBCT measurement errors are caused by a variety of factors and are difficult to avoid.…”

Section: Introductionmentioning

confidence: 99%

Understanding the thrust force evolution and primary stability for dental implantation – An in-vitro experimental investigation

Zhao

Liu

Zhang

et al. 2022

Proc Inst Mech Eng H

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The dental implant is challenging due to the unstable quality of the surrounding bone. This study aimed to explore the feasibility of using thrust force characteristics to identify different bone types and the influencing mechanisms of spindle speed and feed rate on primary stability of dental implants through in-vitro experiments. 13 groups of osteotomy experiments were performed on mandibles and maxillae of pigs with different bone types (I, II, and III) under different spindle speeds (600 and 800 rpm) and feed rates (20 and 60 mm/min). The thrust force evolution under different conditions was extracted and analysed to elaborate the distribution and thickness of the cortical and trabecular bone layers on different bone types. Dental implant placements were performed, and corresponding primary stabilities were obtained. Furthermore, histologic observation was conducted to reveal the bone/implant contact morphology. From the results, the amplitude and trend of thrust force show a regular variation during drilling different bone types. The highly dynamic information of thrust force can be analysed to characterise the distribution and thickness of the cortical and trabecular bone layers, hence effectively detecting different bone types. Since a lower feed rate and resulting bone temperature elevation lead to more thermal damages, primary stability decreases with the decrease of feed rate. Spindle speed has no significant effect. This study establishes a more in-depth understanding into the thrust force evolution and also provide a clinical option for reducing the complexity of bone type and drilling parameters determination in osteotomy.

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Soft tissue coverage on the segmentation accuracy of the 3D surface-rendered model from cone-beam CT

Cited by 11 publications

References 49 publications

Comparison of cartilage and bone morphological models of the ankle joint derived from different medical imaging technologies

Comparison of cartilage and bone morphological models of the ankle joint derived from different medical imaging technologies

Effects of Exposure Parameters and Voxel Size for Cone-Beam Computed Tomography on the Image Matching Accuracy with an Optical Dental Scan Image: An In Vitro Study

Understanding the thrust force evolution and primary stability for dental implantation – An in-vitro experimental investigation

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