Medical rapid prototyping technologies: state of the art and current limitations for application in oral and maxillofacial surgery

Purpose We describe state of the art software and hardware requirements for the manufacture of high quality medical models manufactured using medical rapid prototyping. The source of the medical model artefacts and there physical appearance are illustrated along with remedies for their removal. Materials and Methods Medical models were built using predominantly stereolithography and fused deposition modelling at both institutions over a period of 6 years. A combined total of 350 models have been produced for a range of maxillofacial, neurosurgical and orthopaedic applications. Stereolithography, fused deposition modelling computerised numerical milling and other technologies are described. Results A range of unwanted artefacts that create distortions on medical models have been identified. These include, data import, CT gantry distortion, metal, motion, surface roughness due to support structure removal or surface modelling and image data thresholding. The source of the artefact has been related to the patient, imaging modality performance or the modelling technology. Discussion as to the significance of the artefacts on clinical use is provided. Conclusions It is recommended that models of human anatomy generated by medical rapid prototyping are subject to rigorous quality assurance at all stages of the manufacturing process. Clinicians should be aware of potential areas for inaccuracies within models and review the source images in cases where model integrity is in doubt

A review of the issues surrounding three-dimensional computed tomography for medical modelling using rapid prototyping techniques

This technical note aims to raise awareness amongst radiographers of the application of Computed Tomography data in the production of models using Rapid Prototyping technologies. It also aims to provide radiographers with recommendations that will assist them in providing three-dimensional Computed Tomography data that can fulfil the requirements of medical modelling. Potential problem areas in data acquisition and transfer are discussed and suggestions are given for methods that aim to avoid these

Breast Density Classification Using Local Quinary Patterns with Various Neighbourhood Topologies

This paper presents an extension of work from our previous study by investigating the use of Local Quinary Patterns (LQP) for breast density classification in mammograms on various neighbourhood topologies. The LQP operators are used to capture the texture characteristics of the fibro-glandular disk region ( F G D r o i ) instead of the whole breast area as the majority of current studies have done. We take a multiresolution and multi-orientation approach, investigate the effects of various neighbourhood topologies and select dominant patterns to maximise texture information. Subsequently, the Support Vector Machine classifier is used to perform the classification, and a stratified ten-fold cross-validation scheme is employed to evaluate the performance of the method. The proposed method produced competitive results up to 86.13 % and 82.02 % accuracy based on 322 and 206 mammograms taken from the Mammographic Image Analysis Society (MIAS) and InBreast datasets, which is comparable with the state-of-the-art in the literature

Investigating the clinical use of structured light plethysmography to assess lung function in children with neuromuscular disorders

BackgroundChildren and young people with neuromuscular disorders (NMD), such as Duchenne Muscular Dystrophy (DMD), develop progressive respiratory muscles weakness and pulmonary restriction. Pulmonary function monitoring of the decline in lung function allows for timely intervention with cough assist techniques and nocturnal non-invasive ventilation (NIV). NMD may find the measurement of lung function difficult using current techniques. Structured Light Plethysmography (SLP) has been proposed as a novel, non-contact, self-calibrating, non-invasive method of assessing lung function. The overarching aim of this study was to investigate the use of SLP as a novel method for monitoring respiratory function in children with neuromuscular disease.MethodsSLP thoraco-abdominal (TA) displacement was correlated with forced vital capacity measurements recorded by spirometry and the repeatability of the measurements with both methods examined. SLP tidal breathing parameters were investigated to assess the range and repeatability of regional right and left side TA displacement and rib cage and abdominal wall displacement.ResultsThe comparison of the FVC measured with SLP and with spirometry, while having good correlation (R = 0.78) had poor measurement agreement (95% limits of agreement: -1.2 to 1.2L) The mean relative contribution of right and left TA displacement in healthy controls was 50:50 with a narrow range. Repeatability of this measure with SLP was found to be good in healthy controls and moderate in NMD children with/without scoliosis but with a wider range. The majority of the control group displayed a predominant rib cage displacement during tidal breathing and those who displayed predominant abdominal wall displacement showed displacement of both regions close to 50:50 with similar results for the rib cage and abdomen. In comparison, children with NMD have a more variable contribution for all of these parameters. In addition, SLP was able to detect a reduction in abdominal contribution to TA displacement with age in the DMD group and detect paradoxical breathing in children with NMD. Using SLP tracings during tidal breathing we were able to identify three specific patterns of breathing amongst healthy individuals and in children with NMD.ConclusionsSLP is a novel method for measuring lung function that requires limited patient cooperation and may be especially useful in children with neuromuscular disorders. Measuring the relative contributions of the right and left chest wall and chest versus abdominal movements allows a more detailed assessment