scholarly journals Design for Mass Adaptation of the Neurointerventional Training Model HANNES with Patient-Specific Aneurysm Models

2019 ◽  
Vol 1 (1) ◽  
pp. 897-906 ◽  
Author(s):  
Johanna Spallek ◽  
Juliane Kuhl ◽  
Nadine Wortmann ◽  
Jan-Hendrik Buhk ◽  
Andreas Maximilian Frölich ◽  
...  
Keyword(s):  
Training Model ◽  
Product Structure ◽  
Training System ◽  
Patient Specific ◽  
Specific Training ◽  
Real Patient ◽  
High Reproducibility ◽  
Training Environment ◽  
Modular Product ◽  
Methodical Approach

AbstractA neurointerventional training model called HANNES (Hamburg ANatomical NEurointerventional Simulator) has been developed to replace animal models in catheter-based aneurysm treatment training. A methodical approach to design for mass adaptation is applied so that patient-specific aneurysm models can be designed recurrently based on real patient data to be integrated into the training system.HANNES’ modular product structure designed for mass adaptation consists of predefined and individualized modules that can be combined for various training scenarios. Additively manufactured, individualized aneurysm models enable high reproducibility of real patient anatomies. Due to the implementation of a standardized individualization process, order-related adaptation can be realized for each new patient anatomy with modest effort. The paper proves how the application of design for mass adaptation leads to a well-designed modular product structure of the neurointerventional training model HANNES, which supports quality treatment and provides an animal-free and patient-specific training environment.

scholarly journals Towards Virtual VATS, Face, and Construct Evaluation for Peg Transfer Training of Box, VR, AR, and MR Trainer

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Zhibao Qin ◽  
Yonghang Tai ◽  
Chengqi Xia ◽  
Jun Peng ◽  
Xiaoqiao Huang ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Mixed Reality ◽  
Training System ◽  
Patient Specific ◽  
Training Module ◽  
Training Environment ◽  
3D Perception ◽  
Advantages And Disadvantages ◽  
Transfer Training ◽  
Simulation Systems

The aim of this study is to develop and assess the peg transfer training module face, content and construct validation use of the box, virtual reality (VR), cognitive virtual reality (CVR), augmented reality (AR), and mixed reality (MR) trainer, thereby to compare advantages and disadvantages of these simulators. Training system (VatsSim-XR) design includes customized haptic-enabled thoracoscopic instruments, virtual reality helmet set, endoscope kit with navigation, and the patient-specific corresponding training environment. A cohort of 32 trainees comprising 24 novices and 8 experts underwent the real and virtual simulators that were conducted in the department of thoracic surgery of Yunnan First People’s Hospital. Both subjective and objective evaluations have been developed to explore the visual and haptic potential promotions in peg transfer education. Experiments and evaluation results conducted by both professional and novice thoracic surgeons show that the surgery skills from experts are better than novices overall, AR trainer is able to provide a more balanced training environments on visuohaptic fidelity and accuracy, box trainer and MR trainer demonstrated the best realism 3D perception and surgical immersive performance, respectively, and CVR trainer shows a better clinic effect that the traditional VR trainer. Combining these in a systematic approach, tuned with specific fidelity requirements, medical simulation systems would be able to provide a more immersive and effective training environment.

Turning data into reality

2018 ◽  
Author(s):  
S Leinster-Evans ◽  
J Newell ◽  
S Luck
Keyword(s):  
Virtual Reality ◽  
Mixed Reality ◽  
Training System ◽  
Value Proposition ◽  
Immersive Environments ◽  
Training Environment ◽  
Service Support ◽  
Rich Data ◽  
And Training

This paper looks to expand on the INEC 2016 paper ‘The future role of virtual reality within warship support solutions for the Queen Elizabeth Class aircraft carriers’ presented by Ross Basketter, Craig Birchmore and Abbi Fisher from BAE Systems in May 2016 and the EAAW VII paper ‘Testing the boundaries of virtual reality within ship support’ presented by John Newell from BAE Systems and Simon Luck from BMT DSL in June 2017. BAE Systems and BMT have developed a 3D walkthrough training system that supports the teams working closely with the QEC Aircraft Carriers in Portsmouth and this work was presented at EAAW VII. Since then this work has been extended to demonstrate the art of the possible on Type 26. This latter piece of work is designed to explore the role of 3D immersive environments in the development and fielding of support and training solutions, across the range of support disciplines. The combined team are looking at how this digital thread leads from design of platforms, both surface and subsurface, through build into in-service support and training. This rich data and ways in which it could be used in the whole lifecycle of the ship, from design and development (used for spatial acceptance, HazID, etc) all the way through to operational support and maintenance (in conjunction with big data coming off from the ship coupled with digital tech docs for maintenance procedures) using constantly developing technologies such as 3D, Virtual Reality, Augmented Reality and Mixed Reality, will be proposed.  The drive towards gamification in the training environment to keep younger recruits interested and shortening course lengths will be explored. The paper develops the options and looks to how this technology can be used and where the value proposition lies. 

scholarly journals A feasibility study of a novel, task-specific movement training intervention for women with patellofemoral pain

2017 ◽  
Vol 32 (2) ◽  
pp. 179-190 ◽  
Author(s):  
Gretchen B Salsich ◽  
Barbara Yemm ◽  
Karen Steger-May ◽  
Catherine E Lang ◽  
Linda R Van Dillen
Keyword(s):  
Weight Bearing ◽  
Knee Kinematics ◽  
Frontal Plane ◽  
Patellofemoral Pain ◽  
Patient Specific ◽  
Training Intervention ◽  
Specific Training ◽  
Intervention Effects ◽  
And Function ◽  
Treatment Credibility

Objective: To investigate whether a novel, task-specific training intervention that focused on correcting pain-producing movement patterns was feasible and whether it would improve hip and knee kinematics, pain, and function in women with patellofemoral pain. Design: Prospective, non-randomized, within-group, double baseline, feasibility intervention study. Subjects: A total of 25 women with patellofemoral pain were enrolled. Intervention: The intervention, delivered 2×/week for six weeks, consisted of supervised, high-repetition practice of daily weight-bearing and recreational activities. Activities were selected and progressed based on participants’ interest and ability to maintain optimal alignment without increasing pain. Main measures: Primary feasibility outcomes were recruitment, retention, adherence, and treatment credibility (Credibility/Expectancy Questionnaire). Secondary outcomes assessing intervention effects were hip and knee kinematics, pain (visual analog scale: current, average in past week, maximum in past week), and function (Patient-Specific Functional Scale). Results: A total of 25 participants were recruited and 23 were retained (92% retention). Self-reported average daily adherence was 79% and participants were able to perform their prescribed home program correctly (reduced hip and knee frontal plane angles) by the second intervention visit. On average, treatment credibility was rated 25 (out of 27) and expectancy was rated 22 (out of 27). Hip and knee kinematics, pain, and function improved following the intervention when compared to the control phase. Conclusion: Based on the feasibility outcomes and preliminary intervention effects, this task-specific training intervention warrants further investigation and should be evaluated in a larger, randomized clinical trial.

Investigating Recurrent Neural Networks for OCT A-scan Based Tissue Analysis

2014 ◽  
Vol 53 (04) ◽  
pp. 245-249 ◽  
Author(s):  
S. Otte ◽  
L. Wittig ◽  
G. Hüttmann ◽  
C. Kugler ◽  
D. Drömann ◽  
...  
Keyword(s):  
Short Term Memory ◽  
Pulmonary Nodules ◽  
Patient Specific ◽  
Specific Training ◽  
Reference Distribution ◽  
Human Lung Tissue ◽  
Additional Information ◽  
Cutoff Frequencies ◽  
Low Pass ◽  
Lower Cutoff

Summary Objectives: Optical Coherence Tomography (OCT) has been proposed as a high resolution image modality to guide transbronchial biopsies. In this study we address the question, whether individual A-scans obtained in needle direction can contribute to the identification of pulmonary nodules. Methods: OCT A-scans from freshly resected human lung tissue specimen were recorded through a customized needle with an embedded optical fiber. Bidirectional Long Short Term Memory networks (BLSTMs) were trained on randomly distributed training and test sets of the acquired A-scans. Patient specific training and different pre-processing steps were evaluated. Results: Classification rates from 67.5% up to 76% were archived for different training scenarios. Sensitivity and specificity were highest for a patient specific training with 0.87 and 0.85. Low pass filtering decreased the accuracy from 73.2% on a reference distribution to 62.2% for higher cutoff frequencies and to 56% for lower cutoff frequencies. Conclusion: The results indicate that a grey value based classification is feasible and may provide additional information for diagnosis and navigation. Furthermore, the experiments show patient specific signal properties and indicate that the lower and upper parts of the frequency spectrum contribute to the classification.

scholarly journals Training System for Endoscopic Surgery Aiming to Provide the Sensation of Forceps Operation

2018 ◽  
Vol 30 (5) ◽  
pp. 772-780
Author(s):  
Tatsushi Tokuyasu ◽  
Kumiko Motodoi ◽  
Yuichi Endo ◽  
Yukio Iwashita ◽  
Tsuyoshi Etoh ◽  
...  
Keyword(s):  
Visual Field ◽  
Endoscopic Surgery ◽  
Training System ◽  
Two Dimensional ◽  
Training Device ◽  
Operative Field ◽  
Training Environment ◽  
Field Information ◽  
Operating Surgeon

In Japan, a rising number of endoscopic surgery operations have boosted an expectation for the development of a training environment for qualified surgeons. The endoscopic surgery operation requires the operator to operate forceps by hand based on two-dimensional operative field information displayed on the monitor. The characteristics of the operation include a lack of stereoscopic visual field information and movement of the tip of the forceps, which is symmetric about the trocar. These are issues that require an empirical solution from the operator. It is desirable that these issues have already been overcome before the operator starts practicing as an operating surgeon. To this end, it is effective to train the operator in the sensation of forceps operation, which associates the operative field vision with the forceps operation by hand. Therefore, this study includes digitizing the forceps operation by qualified surgeons and providing it to the trainee as visual and force information in order to build a training device that facilitates the cultivation of the sensation of forceps operation.

scholarly journals Real-Time Haptic and Visual Simulation of Bone Dissection

2003 ◽  
Vol 12 (1) ◽  
pp. 110-122 ◽  
Author(s):  
Marco Agus ◽  
Andrea Giachetti ◽  
Enrico Gobbetti ◽  
Gianluigi Zanetti ◽  
Antonio Zorcolo
Keyword(s):  
Real Time ◽  
Bone Erosion ◽  
Training System ◽  
Visual Simulation ◽  
Patient Specific ◽  
Imaging Data ◽  
Erosion Process ◽  
Bone Surgery ◽  
Temporal Bone Surgery ◽  
Current Implementation

Bone dissection is an important component of many surgical procedures. In this paper, we discuss a haptic and visual simulation of a bone-cutting burr that is being developed as a component of a training system for temporal bone surgery. We use a physically motivated model to describe the burr-bone interaction, which includes haptic forces evaluation, the bone erosion process, and the resulting debris. The current implementation, directly operating on a voxel discretization of patient-specific 3D CT and MR imaging data, is efficient enough to provide real-time feedback on a low-end multiprocessing PC platform.

Development and evaluation of a craniocerebral model with tactile-realistic feature and intracranial pressure for neurosurgical training

2019 ◽  
Vol 12 (1) ◽  
pp. 94-97 ◽  
Author(s):  
Zongchao Yi ◽  
Bingwei He ◽  
Yuqing Liu ◽  
Shenyue Huang ◽  
Wenyao Hong
Keyword(s):  
Intracranial Pressure ◽  
Brain Tissue ◽  
External Ventricular Drain ◽  
Training Model ◽  
Magnetic Resonance Images ◽  
Patient Specific ◽  
Mean Deviation ◽  
Neurosurgical Training ◽  
Tissue Model ◽  
3D Printed

ObjectiveIn this article, a craniocerebral model is introduced for neurosurgical training, which is patient-specific, tactile-realistic, and with adjustable intracranial pressure.MethodsThe patient-specific feature is achieved by modeling from CT scans and magnetic resonance images (MRI). The brain tissue model is built by the hydrogel casting technique, while scalp, skull, vasculature, and lateral ventricles are all-in-one fabricated by three-dimensional (3D) printing. A closed-loop system is integrated to monitor and control the intracranial pressure. 3D measurements, mechanical tests, and simulated external ventricular drain (EVD) placement procedures are conducted on the model.ResultsA neurosurgical training model is completed with high accuracy (mean deviation 0.36 mm). The hydrogel brain tissue has a stiffness more similar to that of a real brain than the common 3D printed materials. The elasticity modulus of hydrogel brain tissue model is E=25.71 kPa, compared with our softest 3D printed material with E=1.14×103 kPa. Ten experienced surgeons rate the tactile realness of the neurosurgical training model at an average point of 4.25 on a scale from 1 (strongly negative) to 5 (strongly positive). The neurosurgical training model is also rated to be realistic in size (4.82), anatomy (4.70), and effective as an aid to improve blind EVD placement skills (4.65).ConclusionsThe neurosurgical training model can provide trainee surgeons with realistic experience in both tactile feedbacks and craniocerebral anatomy, improving their surgical skills.

scholarly journals 3D-printed Surgical Training Model Based on Real Patient Situations for Dental Education

2020 ◽  
Vol 17 (8) ◽  
pp. 2901
Author(s):  
Marcel Hanisch ◽  
Elke Kroeger ◽  
Markus Dekiff ◽  
Maximilian Timme ◽  
Johannes Kleinheinz ◽  
...  
Keyword(s):  
Surgical Training ◽  
Alternative Hypothesis ◽  
Simulation Models ◽  
Training Model ◽  
Patient Data ◽  
Root Tip ◽  
Real Patient ◽  
Training Models ◽  
Computer Aided ◽  
3D Printed

Background: Most simulation models used at university dental clinics are typodonts. Usually, models show idealized eugnathic situations, which are rarely encountered in everyday practice. The aim of this study was to use 3D printing technology to manufacture individualized surgical training models for root tip resection (apicoectomy) on the basis of real patient data and to compare their suitability for dental education against a commercial typodont model. Methods: The training model was designed using CAD/CAM (computer-aided design/computer-aided manufacturing) technology. The printer used to manufacture the models employed the PolyJet technique. Dental students, about one year before their final examinations, acted as test persons and evaluated the simulation models on a visual analogue scale (VAS) with four questions (Q1–Q4). Results: A training model for root tip resection was constructed and printed employing two different materials (hard and soft) to differentiate anatomical structures within the model. The exercise was rated by 35 participants for the typodont model and 33 students for the 3D-printed model. Wilcoxon rank sum tests were carried out to identify differences in the assessments of the two model types. The alternative hypothesis for each test was: “The rating for the typodont model is higher than that for the 3D-printed model”. As the p-values reveal, the alternative hypothesis has to be rejected in all cases. For both models, the gingiva mask was criticized. Conclusions: Individual 3D-printed surgical training models based on real patient data offer a realistic alternative to industrially manufactured typodont models. However, there is still room for improvement with respect to the gingiva mask for learning surgical incision and flap formation.

ORGANISING FOR MODULARITY IN DYNAMIC MARKETS

2012 ◽  
Vol 16 (02) ◽  
pp. 1250010 ◽  
Author(s):  
MAXIMILIAN HANS PASCHE ◽  
MAGNUS PERSSON
Keyword(s):  
Product Variety ◽  
Causal Link ◽  
Product Structure ◽  
Product Architecture ◽  
Strategic Flexibility ◽  
Organisational Structure ◽  
Dynamic Markets ◽  
Modular Product ◽  
Organisational Factors ◽  
Over Time

Facing constantly increasing product variety and changing customer demands, many companies have adopted a product modularisation strategy to increase strategic flexibility. Despite the dominant view that product modularisation directly increases strategic flexibility, it is argued here that the causal link between product modularisation and strategic flexibility is mediated by specific complementary organisational factors which enable firms with a modular product structure to develop strategic flexibility. Moreover, the interrelationship between product architecture and organisational structure is regarded as reciprocal. That is, product architecture and organisational structure are considered to co-evolve and mutually influence each other. The purpose of this paper is to elucidate how firms applying a modularisation strategy organise in order to increase the strategic flexibility, and how the organisational structure is interrelated with the product architecture, especially the ability to maintain a modular product architecture over time. Two International automotive companies, both of them implemented a modularisation strategy in the mid-1990s, have been studied. From the cases it can be concluded that the alignment of product and organisational architecture, decision-making structures, and the management of knowledge affect a firm's ability to evolve its products and maintain a modular product structure over time.

Can Computer-Based Assessment be Used for Motor Skills Learning? A Training Transfer Study

1998 ◽  
Vol 42 (20) ◽  
pp. 1432-1436
Author(s):  
Barbara Barnett ◽  
Bruce Perrin ◽  
Jim Curtin ◽  
Katrin Helbing
Keyword(s):  
Performance Feedback ◽  
Test Performance ◽  
Full Range ◽  
Training Group ◽  
Training Transfer ◽  
Training System ◽  
Training Environment ◽  
Post Test ◽  
Computer Based ◽  
Skills Learning

A study was conducted to assess the effectiveness of a Virtual Environment-based intelligent tutor developed to train maneuvering skills on a remotely operated underwater vehicle (ROV) and to evaluate training transfer from the VE-enhanced training environment to maneuvering an actual ROV in an underwater environment. Thirty-two subjects were randomly assigned to one of four test groups: full training, simulation only, ROV only, or no training. Participants completed two pre-test trials, followed by training, and then two different of post-test tasks. Pre-test trials and training transfer trials were conducted in a test tank using an actual ROV. The full training group received computer-based verbal coaching, performance feedback, a VE-enhanced external, and performance based progression through a matrix of exercises organized by increasing task difficulty. Subjects in the simulation only and ROV only groups received an equal amount of unstructured practice time using the ROV simulation and the actual vehicle respectively. The No Training group performed only the pre-test and post-test trials. Comparison of pre-test and post-test performance was made across a full range of performance parameters. For most measures, no significant differences were observed between the different treatment groups. Where differences were observed, subjects with initial low ability in pre-test did not benefit from the full training system as much as the other forms of training. Transfer trials indicated that all forms of training showed significant positive transfer over that of the No Training group.

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