992 resultados para swd: 3D-Scanner
Resumo:
Este estudo investigou os efeitos do laser de baixa intensidade na velocidade da movimentação ortodôntica de caninos submetidos à retração inicial. A amostra constou de 26 caninos superiores e inferiores, submetidos à retração inicial realizada com mola Niti, com força de 150g. Um dos caninos foi irradiado com laser de diodo, seguindo o protocolo de aplicação: 780nm/20mW/5Jcm2/0,2J por ponto/Et=2J, nos dias 0, 3 e 7 pós-ativação, sendo que o contralateral foi considerado placebo. A retração durou em média 4 meses, num total de 9 aplicações de laser. Os modelos de cada mês foram escaneados com scanner 3D (3Shape) e as imagens tridimensionais foram analisadas por meio do Software Geomagic Studio 5, para a mensuração da quantidade de movimentação dos caninos retraídos. Foi empregada a Análise de Variância a três critérios, seguida pelo teste de Tukey (p<0,05). Para verificação da integridade tecidual, foram efetuadas radiografias periapicais iniciais e finais dos caninos retraídos e dos molares, nas quais foram avaliados uma possível reabsorção na crista alveolar, por meio da distância da crista óssea alveolar até a junção cemento-esmalte e os níveis de reabsorção radicular, por meio do índice de Levander e Malmgreen, sendo este último avaliado somente nos caninos retraídos. Para isto, foi empregado o teste não paramétrico de Wilcoxon (p<0,05). Os resultados indicaram que houve um aumento estatisticamente significante na velocidade da movimentação dos caninos irradiados comparados ao seu contralateral, em todos os tempos avaliados, como também a preservação da integridade tecidual. Com isso, concluiu-se que o laser de diodo pode acelerar a movimentação ortodôntica, podendo contribuir para a diminuição do tempo de tratamento.(AU)
Resumo:
Este estudo investigou os efeitos do laser de baixa intensidade na velocidade da movimentação ortodôntica de caninos submetidos à retração inicial. A amostra constou de 26 caninos superiores e inferiores, submetidos à retração inicial realizada com mola Niti, com força de 150g. Um dos caninos foi irradiado com laser de diodo, seguindo o protocolo de aplicação: 780nm/20mW/5Jcm2/0,2J por ponto/Et=2J, nos dias 0, 3 e 7 pós-ativação, sendo que o contralateral foi considerado placebo. A retração durou em média 4 meses, num total de 9 aplicações de laser. Os modelos de cada mês foram escaneados com scanner 3D (3Shape) e as imagens tridimensionais foram analisadas por meio do Software Geomagic Studio 5, para a mensuração da quantidade de movimentação dos caninos retraídos. Foi empregada a Análise de Variância a três critérios, seguida pelo teste de Tukey (p<0,05). Para verificação da integridade tecidual, foram efetuadas radiografias periapicais iniciais e finais dos caninos retraídos e dos molares, nas quais foram avaliados uma possível reabsorção na crista alveolar, por meio da distância da crista óssea alveolar até a junção cemento-esmalte e os níveis de reabsorção radicular, por meio do índice de Levander e Malmgreen, sendo este último avaliado somente nos caninos retraídos. Para isto, foi empregado o teste não paramétrico de Wilcoxon (p<0,05). Os resultados indicaram que houve um aumento estatisticamente significante na velocidade da movimentação dos caninos irradiados comparados ao seu contralateral, em todos os tempos avaliados, como também a preservação da integridade tecidual. Com isso, concluiu-se que o laser de diodo pode acelerar a movimentação ortodôntica, podendo contribuir para a diminuição do tempo de tratamento.(AU)
Resumo:
Este estudo investigou os efeitos do laser de baixa intensidade na velocidade da movimentação ortodôntica de caninos submetidos à retração inicial. A amostra constou de 26 caninos superiores e inferiores, submetidos à retração inicial realizada com mola Niti, com força de 150g. Um dos caninos foi irradiado com laser de diodo, seguindo o protocolo de aplicação: 780nm/20mW/5Jcm2/0,2J por ponto/Et=2J, nos dias 0, 3 e 7 pós-ativação, sendo que o contralateral foi considerado placebo. A retração durou em média 4 meses, num total de 9 aplicações de laser. Os modelos de cada mês foram escaneados com scanner 3D (3Shape) e as imagens tridimensionais foram analisadas por meio do Software Geomagic Studio 5, para a mensuração da quantidade de movimentação dos caninos retraídos. Foi empregada a Análise de Variância a três critérios, seguida pelo teste de Tukey (p<0,05). Para verificação da integridade tecidual, foram efetuadas radiografias periapicais iniciais e finais dos caninos retraídos e dos molares, nas quais foram avaliados uma possível reabsorção na crista alveolar, por meio da distância da crista óssea alveolar até a junção cemento-esmalte e os níveis de reabsorção radicular, por meio do índice de Levander e Malmgreen, sendo este último avaliado somente nos caninos retraídos. Para isto, foi empregado o teste não paramétrico de Wilcoxon (p<0,05). Os resultados indicaram que houve um aumento estatisticamente significante na velocidade da movimentação dos caninos irradiados comparados ao seu contralateral, em todos os tempos avaliados, como também a preservação da integridade tecidual. Com isso, concluiu-se que o laser de diodo pode acelerar a movimentação ortodôntica, podendo contribuir para a diminuição do tempo de tratamento.(AU)
Resumo:
In questa dissertazione viene descritto un sistema sviluppato per ottenere una rappresentazione a tre dimensioni in real time di una superficie. Il sistema si avvale di alcune tecniche di ottimizza- zione e di trattamento dell’immagine e sfrutta dispositivi comuni e di facile reperibilita`: una videocamera e un proiettore.
Resumo:
L'algoritmo di semplificazione proposto in questa tesi agisce in modo iterativo su due livelli, in una prima fase alla mesh viene applicato un operatore di smoothing e alla mesh così elaborata viene poi applicata la decimazione. L'alternanza di questi due operatori permette di avere mesh semplificate che mantengono però una qualità maggiore rispetto al risultato che si avrebbe invece applicando solo la decimazione. A partire da una mesh ad alta risoluzione, ad ogni iterazione viene quindi creata una mesh con una risoluzione inferiore fino all'ultima iterazione che produce la mesh coarse (a bassa risoluzione) desiderata. Si viene quindi a creare una struttura di semplificazione multilivello, utile in molte applicazioni di computer graphics.
Resumo:
Il piede, con la sua complessa struttura anatomica, permette la stabilità e la deambulazione e per questo risulta fondamentale studiarne l’anatomia, la morfologia e la biomeccanica. La Pedana Baropodometrica è uno strumento che misura le pressioni plantari e permette di stimare alcuni parametri morfologici e funzionali del piede in modo veloce e relativamente economico. Lo Scanner Plantare 3D permette di acquisire in tempi brevi la geometria del piede creandone un modello tridimensionale digitale. Queste qualità hanno agevolato la diffusione di questi strumenti nella produzione di ortesi plantari su misura e, dato il crescente interesse del mercato verso le tematiche di customizzazione, alla loro commercializzazione su larga scala. Per ammortizzare i costi, tuttavia, questi strumenti sono spesso basati su tecnologie low-cost. Lo scopo dello studio svolto in questa tesi è quello di determinare la bontà e l’accuratezza di alcuni parametri morfologici e funzionali del piede acquisiti con una pedana baropodometrica resistiva a basso costo. Questi valori sono stati rapportati con misurazione dirette e con dati raccolti dall’elaborazione dell’immagine ricavata con uno scanner plantare 3D. In particolare sono state valutate misure di lunghezza e larghezza del piede, dell’arch index definito come il rapporto tra l’area del mesopiede e l’area totale del piede meno le dita, dell’angolo di progressione del passo e del CPEI, un parametro che indica la variazione della traiettoria del centro di massa. In conclusione la pedana baropodometrica, pur non essendo precisa nel determinare la distribuzione delle pressioni massime, si è dimostrata sufficientemente accurata nella stima delle dimensioni del piede, delle aree di appoggio e di alcune caratteristiche funzionali del piede.
Resumo:
The particulate matter distribution (PM) trends that exist in catalyzed particulate filters (CPFs) after loading, passive oxidation, active regeneration, and post loading conditions are not clearly understood. These data are required to optimize the operation of CPFs, prevent damage to the CPFs caused by non-uniform distributions, and develop accurate CPF models. To develop an understanding of PM distribution trends, multiple tests were conducted and the PM distribution was measured in three dimensions using a terahertz wave scanner. The results of this work indicate that loading, passive oxidation, active regeneration, and post loading can all cause non-uniform PM distributions. The density of the PM in the substrate after loading and the amount of PM that is oxidized during passive oxidations and active regenerations affect the uniformity of the distribution. Post loading that occurs after active regenerations result in distributions that are less uniform than post loading that occurs after passive oxidations.
Resumo:
The validation of Computed Tomography (CT) based 3D models takes an integral part in studies involving 3D models of bones. This is of particular importance when such models are used for Finite Element studies. The validation of 3D models typically involves the generation of a reference model representing the bones outer surface. Several different devices have been utilised for digitising a bone’s outer surface such as mechanical 3D digitising arms, mechanical 3D contact scanners, electro-magnetic tracking devices and 3D laser scanners. However, none of these devices is capable of digitising a bone’s internal surfaces, such as the medullary canal of a long bone. Therefore, this study investigated the use of a 3D contact scanner, in conjunction with a microCT scanner, for generating a reference standard for validating the internal and external surfaces of a CT based 3D model of an ovine femur. One fresh ovine limb was scanned using a clinical CT scanner (Phillips, Brilliance 64) with a pixel size of 0.4 mm2 and slice spacing of 0.5 mm. Then the limb was dissected to obtain the soft tissue free bone while care was taken to protect the bone’s surface. A desktop mechanical 3D contact scanner (Roland DG Corporation, MDX 20, Japan) was used to digitise the surface of the denuded bone. The scanner was used with the resolution of 0.3 × 0.3 × 0.025 mm. The digitised surfaces were reconstructed into a 3D model using reverse engineering techniques in Rapidform (Inus Technology, Korea). After digitisation, the distal and proximal parts of the bone were removed such that the shaft could be scanned with a microCT (µCT40, Scanco Medical, Switzerland) scanner. The shaft, with the bone marrow removed, was immersed in water and scanned with a voxel size of 0.03 mm3. The bone contours were extracted from the image data utilising the Canny edge filter in Matlab (The Mathswork).. The extracted bone contours were reconstructed into 3D models using Amira 5.1 (Visage Imaging, Germany). The 3D models of the bone’s outer surface reconstructed from CT and microCT data were compared against the 3D model generated using the contact scanner. The 3D model of the inner canal reconstructed from the microCT data was compared against the 3D models reconstructed from the clinical CT scanner data. The disparity between the surface geometries of two models was calculated in Rapidform and recorded as average distance with standard deviation. The comparison of the 3D model of the whole bone generated from the clinical CT data with the reference model generated a mean error of 0.19±0.16 mm while the shaft was more accurate(0.08±0.06 mm) than the proximal (0.26±0.18 mm) and distal (0.22±0.16 mm) parts. The comparison between the outer 3D model generated from the microCT data and the contact scanner model generated a mean error of 0.10±0.03 mm indicating that the microCT generated models are sufficiently accurate for validation of 3D models generated from other methods. The comparison of the inner models generated from microCT data with that of clinical CT data generated an error of 0.09±0.07 mm Utilising a mechanical contact scanner in conjunction with a microCT scanner enabled to validate the outer surface of a CT based 3D model of an ovine femur as well as the surface of the model’s medullary canal.
Resumo:
Magnetic Resonance Imaging (MRI) offers a valuable research tool for the assessment of 3D spinal deformity in AIS, however the horizontal patient position imposed by conventional scanners removes the axial compressive loading on the spine which is an important determinant of deformity shape and magnitude in standing scoliosis patients. The objective of this study was to design, construct and test an MRI compatible compression device for research into the effect of axial loading on spinal deformity using supine MRI scans. The compression device was designed and constructed, consisting of a vest worn by the patient, which was attached via straps to a pneumatically actuated footplate. An applied load of 0.5 x bodyweight was remotely controlled by a unit in the scanner operator’s console. The entire device was constructed using non-metallic components for MRI compatibility. The device was evaluated by performing unloaded and loaded supine MRI scans on a series of 10 AIS patients. The study concluded that an MRI compatible compression device had been successfully designed and constructed, providing a research tool for studies into the effect of axial loading on 3D spinal deformity in scoliosis. The 3D axially loaded MR imaging capability developed in this study will allow future research investigations of the effect of axial loading on spinal rotation, and for imaging the response of scoliotic spinal tissues to axial loading.
Resumo:
Aims: To develop clinical protocols for acquiring PET images, performing CT-PET registration and tumour volume definition based on the PET image data, for radiotherapy for lung cancer patients and then to test these protocols with respect to levels of accuracy and reproducibility. Method: A phantom-based quality assurance study of the processes associated with using registered CT and PET scans for tumour volume definition was conducted to: (1) investigate image acquisition and manipulation techniques for registering and contouring CT and PET images in a radiotherapy treatment planning system, and (2) determine technology-based errors in the registration and contouring processes. The outcomes of the phantom image based quality assurance study were used to determine clinical protocols. Protocols were developed for (1) acquiring patient PET image data for incorporation into the 3DCRT process, particularly for ensuring that the patient is positioned in their treatment position; (2) CT-PET image registration techniques and (3) GTV definition using the PET image data. The developed clinical protocols were tested using retrospective clinical trials to assess levels of inter-user variability which may be attributed to the use of these protocols. A Siemens Somatom Open Sensation 20 slice CT scanner and a Philips Allegro stand-alone PET scanner were used to acquire the images for this research. The Philips Pinnacle3 treatment planning system was used to perform the image registration and contouring of the CT and PET images. Results: Both the attenuation-corrected and transmission images obtained from standard whole-body PET staging clinical scanning protocols were acquired and imported into the treatment planning system for the phantom-based quality assurance study. Protocols for manipulating the PET images in the treatment planning system, particularly for quantifying uptake in volumes of interest and window levels for accurate geometric visualisation were determined. The automatic registration algorithms were found to have sub-voxel levels of accuracy, with transmission scan-based CT-PET registration more accurate than emission scan-based registration of the phantom images. Respiration induced image artifacts were not found to influence registration accuracy while inadequate pre-registration over-lap of the CT and PET images was found to result in large registration errors. A threshold value based on a percentage of the maximum uptake within a volume of interest was found to accurately contour the different features of the phantom despite the lower spatial resolution of the PET images. Appropriate selection of the threshold value is dependant on target-to-background ratios and the presence of respiratory motion. The results from the phantom-based study were used to design, implement and test clinical CT-PET fusion protocols. The patient PET image acquisition protocols enabled patients to be successfully identified and positioned in their radiotherapy treatment position during the acquisition of their whole-body PET staging scan. While automatic registration techniques were found to reduce inter-user variation compared to manual techniques, there was no significant difference in the registration outcomes for transmission or emission scan-based registration of the patient images, using the protocol. Tumour volumes contoured on registered patient CT-PET images using the tested threshold values and viewing windows determined from the phantom study, demonstrated less inter-user variation for the primary tumour volume contours than those contoured using only the patient’s planning CT scans. Conclusions: The developed clinical protocols allow a patient’s whole-body PET staging scan to be incorporated, manipulated and quantified in the treatment planning process to improve the accuracy of gross tumour volume localisation in 3D conformal radiotherapy for lung cancer. Image registration protocols which factor in potential software-based errors combined with adequate user training are recommended to increase the accuracy and reproducibility of registration outcomes. A semi-automated adaptive threshold contouring technique incorporating a PET windowing protocol, accurately defines the geometric edge of a tumour volume using PET image data from a stand alone PET scanner, including 4D target volumes.
Resumo:
Orthopaedic fracture fixation implants are increasingly being designed using accurate 3D models of long bones based on computer tomography (CT). Unlike CT, magnetic resonance imaging (MRI) does not involve ionising radiation and is therefore a desirable alternative to CT. This study aims to quantify the accuracy of MRI-based 3D models compared to CT-based 3D models of long bones. The femora of five intact cadaver ovine limbs were scanned using a 1.5T MRI and a CT scanner. Image segmentation of CT and MRI data was performed using a multi-threshold segmentation method. Reference models were generated by digitising the bone surfaces free of soft tissue with a mechanical contact scanner. The MRI- and CT-derived models were validated against the reference models. The results demonstrated that the CT-based models contained an average error of 0.15mm while the MRI-based models contained an average error of 0.23mm. Statistical validation shows that there are no significant differences between 3D models based on CT and MRI data. These results indicate that the geometric accuracy of MRI based 3D models was comparable to that of CT-based models and therefore MRI is a potential alternative to CT for generation of 3D models with high geometric accuracy.
Resumo:
The design of pre-contoured fracture fixation implants (plates and nails) that correctly fit the anatomy of a patient utilises 3D models of long bones with accurate geometric representation. 3D data is usually available from computed tomography (CT) scans of human cadavers that generally represent the above 60 year old age group. Thus, despite the fact that half of the seriously injured population comes from the 30 year age group and below, virtually no data exists from these younger age groups to inform the design of implants that optimally fit patients from these groups. Hence, relevant bone data from these age groups is required. The current gold standard for acquiring such data–CT–involves ionising radiation and cannot be used to scan healthy human volunteers. Magnetic resonance imaging (MRI) has been shown to be a potential alternative in the previous studies conducted using small bones (tarsal bones) and parts of the long bones. However, in order to use MRI effectively for 3D reconstruction of human long bones, further validations using long bones and appropriate reference standards are required. Accurate reconstruction of 3D models from CT or MRI data sets requires an accurate image segmentation method. Currently available sophisticated segmentation methods involve complex programming and mathematics that researchers are not trained to perform. Therefore, an accurate but relatively simple segmentation method is required for segmentation of CT and MRI data. Furthermore, some of the limitations of 1.5T MRI such as very long scanning times and poor contrast in articular regions can potentially be reduced by using higher field 3T MRI imaging. However, a quantification of the signal to noise ratio (SNR) gain at the bone - soft tissue interface should be performed; this is not reported in the literature. As MRI scanning of long bones has very long scanning times, the acquired images are more prone to motion artefacts due to random movements of the subject‟s limbs. One of the artefacts observed is the step artefact that is believed to occur from the random movements of the volunteer during a scan. This needs to be corrected before the models can be used for implant design. As the first aim, this study investigated two segmentation methods: intensity thresholding and Canny edge detection as accurate but simple segmentation methods for segmentation of MRI and CT data. The second aim was to investigate the usability of MRI as a radiation free imaging alternative to CT for reconstruction of 3D models of long bones. The third aim was to use 3T MRI to improve the poor contrast in articular regions and long scanning times of current MRI. The fourth and final aim was to minimise the step artefact using 3D modelling techniques. The segmentation methods were investigated using CT scans of five ovine femora. The single level thresholding was performed using a visually selected threshold level to segment the complete femur. For multilevel thresholding, multiple threshold levels calculated from the threshold selection method were used for the proximal, diaphyseal and distal regions of the femur. Canny edge detection was used by delineating the outer and inner contour of 2D images and then combining them to generate the 3D model. Models generated from these methods were compared to the reference standard generated using the mechanical contact scans of the denuded bone. The second aim was achieved using CT and MRI scans of five ovine femora and segmenting them using the multilevel threshold method. A surface geometric comparison was conducted between CT based, MRI based and reference models. To quantitatively compare the 1.5T images to the 3T MRI images, the right lower limbs of five healthy volunteers were scanned using scanners from the same manufacturer. The images obtained using the identical protocols were compared by means of SNR and contrast to noise ratio (CNR) of muscle, bone marrow and bone. In order to correct the step artefact in the final 3D models, the step was simulated in five ovine femora scanned with a 3T MRI scanner. The step was corrected using the iterative closest point (ICP) algorithm based aligning method. The present study demonstrated that the multi-threshold approach in combination with the threshold selection method can generate 3D models from long bones with an average deviation of 0.18 mm. The same was 0.24 mm of the single threshold method. There was a significant statistical difference between the accuracy of models generated by the two methods. In comparison, the Canny edge detection method generated average deviation of 0.20 mm. MRI based models exhibited 0.23 mm average deviation in comparison to the 0.18 mm average deviation of CT based models. The differences were not statistically significant. 3T MRI improved the contrast in the bone–muscle interfaces of most anatomical regions of femora and tibiae, potentially improving the inaccuracies conferred by poor contrast of the articular regions. Using the robust ICP algorithm to align the 3D surfaces, the step artefact that occurred by the volunteer moving the leg was corrected, generating errors of 0.32 ± 0.02 mm when compared with the reference standard. The study concludes that magnetic resonance imaging, together with simple multilevel thresholding segmentation, is able to produce 3D models of long bones with accurate geometric representations. The method is, therefore, a potential alternative to the current gold standard CT imaging.
Resumo:
This thesis describes the development and scientific validation of a real-time quantitative 3D flat-bed ultrasound scanner. Novel short-time Fourier transform software facilitated broadband ultrasound attenuation maps of a breast phantom, enabling detection and identification of both cystic and solid lesions.
Resumo:
Feature track matrix factorization based methods have been attractive solutions to the Structure-front-motion (Sfnl) problem. Group motion of the feature points is analyzed to get the 3D information. It is well known that the factorization formulations give rise to rank deficient system of equations. Even when enough constraints exist, the extracted models are sparse due the unavailability of pixel level tracks. Pixel level tracking of 3D surfaces is a difficult problem, particularly when the surface has very little texture as in a human face. Only sparsely located feature points can be tracked and tracking error arc inevitable along rotating lose texture surfaces. However, the 3D models of an object class lie in a subspace of the set of all possible 3D models. We propose a novel solution to the Structure-from-motion problem which utilizes the high-resolution 3D obtained from range scanner to compute a basis for this desired subspace. Adding subspace constraints during factorization also facilitates removal of tracking noise which causes distortions outside the subspace. We demonstrate the effectiveness of our formulation by extracting dense 3D structure of a human face and comparing it with a well known Structure-front-motion algorithm due to Brand.
Resumo:
For structured-light scanners, the projective geometry between a projector-camera pair is identical to that of a camera-camera pair. Consequently, in conjunction with calibration, a variety of geometric relations are available for three-dimensional Euclidean reconstruction. In this paper, we use projector-camera epipolar properties and the projective invariance of the cross-ratio to solve for 3D geometry. A key contribution of our approach is the use of homographies induced by reference planes, along with a calibrated camera, resulting in a simple parametric representation for projector and system calibration. Compared to existing solutions that require an elaborate calibration process, our method is simple while ensuring geometric consistency. Our formulation using the invariance of the cross-ratio is also extensible to multiple estimates of 3D geometry that can be analysed in a statistical sense. The performance of our system is demonstrated on some cultural artifacts and geometric surfaces.