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A virtual surgical simulator for the lower limbs.

As the body of knowledge concerning human anatomy and physiology continues to grow, new techniques must emerge to convey it more efficiently to future health care professionals. Computer simulation, interaction and visualization technologies are now being used in the development of virtual training environments. This paper presents a real-time virtual surgical simulator that integrates scientific visualization tools into a surround-screen projection-based (SSPB) immersive environment. This environment focuses on procedures for the lower limbs; however, the techniques described can be applied to other portions of the body. The research consists of three phases: environment modeling, volume visualization and immersive surgical simulation. Environment modeling involved modeling an operating room with all of the relevant elements. The volume visualization phase required the application of marching cubes and decimation techniques to the Visible Human Project (VHP) dataset to generate models of the lower limbs. The simulator integrated modeling and volume visualization to facilitate the rehearsal of medical procedures and interaction with medical information. Interactive cutting, suturing and X-Ray CT placement over the virtual patient's legs were used to probe underlying structures. The simulator is intended to aid medical students in learning anatomy, physiology and radiological analysis without jeopardizing patient care.

Computer Simulation↗

A randomized, controlled, prospective study validating the acquisition of percutaneous renal collecting system access skills using a computer based hybrid virtual reality surgical simulator: phase I.

PURPOSE: The need to develop new methods of surgical training combined with advances in computing has led to the development of sophisticated virtual reality surgical simulators. The PERC Mentortrade mark is designed to train the user in percutaneous renal collecting system access puncture. We evaluated and established face, content and construct validation of the simulator in this task. MATERIALS AND METHODS: A total of 63 trainees underwent baseline testing on the simulator, consisting of percutaneous renal puncture followed by the introduction of a guidewire into the collecting system. Subjects were then randomized to an intervention arm, in which they underwent 2, 30-minute training sessions on the simulator, and a control arm, in which no further training was given, followed by repeat testing. Performance was assessed using a global rating scale and by virtual reality derived parameters. RESULTS: There were no significant differences between the 2 groups with respect to baseline measures. Subjects who underwent training with the simulator demonstrated significant improvement in objective and subjective parameters compared to their baseline performance and compared to the untrained control group. Spearman rank correlations demonstrated a significant relationship between multiple parameters of the objective and subjective data. CONCLUSIONS: Training on the simulator improves virtual reality skills. It may allow trainees to develop the basic skills necessary to perform percutaneous renal collecting system access. Face and content validity were demonstrated and construct validity was supported by establishing convergent validity.

Computer Simulation↗

Design considerations for computer-based surgical simulators.

Computers will allow the creation of novel training environments in ways that can only be imagined at the present time. The design of computer-based simulators for training of surgical procedures is a highly complex and ever-more sophisticated process. A thorough understanding of human learning principles as well as the capabilities and limitations of simulation training is required. Only development teams with expertise in medicine and surgery, computer science, hardware engineering, and simulation training will be able to create the useful surgical simulators of tomorrow.

Journal Article↗

Multiple contact approach to collision modelling in surgical simulation.

In this paper we present a technique for the modelling of realistic collisions between arbitrary rigid surgical tools and deformable geometry that is independent of the resolution of colliding objects. We use a spatial hash table to provide an efficient narrow-phase collision detection and modelling backend. This is combined with previous work on collision modelling in our surgical simulation environment to model realistic collisions and collision response at haptic rates.

Australia↗

Surgical simulation of facial paralysis.

We are developing a prototype of a surgical simulation system for restoring facial expression lost in cases of facial paralysis. Correcting facial paralysis requires careful planning of surgery procedures and accurate prediction of the surgical results. So far techniques to perform this task largely relied on the physician's experience, and there were few quantitative data to refer to. The system we propose is finally aimed at helping the surgeon plan the surgery and predict the results. The 3D model of the face used in our system is generated directly from the CT scan of the patient. The face model consists of skin, skull and selected facial muscles based on anatomy. The mass and spring lattice approach is used to give physical attributes to the face model. The present prototype system lets the user directly manipulate graphical representations of facial expression.

Computer Graphics↗

Evaluation of a surgical simulator for learning clinical anatomy.

BACKGROUND: New techniques in imaging and surgery have made 3-dimensional anatomical knowledge an increasingly important goal of medical education. This study compared the efficacy of 2 supplemental, self-study methods for learning shoulder joint anatomy to determine which method provides for greater transfer of learning to the clinical setting. METHODS: Two groups of medical students studied shoulder joint anatomy using either a second-generation virtual reality surgical simulator or images from a textbook. They were then asked to identify anatomical structures of the shoulder joint as they appeared in a videotape of a live arthroscopic procedure. RESULTS: The mean identification scores, out of a possible score of 7, were 3.1 +/- 1.3 for the simulator group and 2.9 +/- 1.5 for the textbook group (P = 0.70). Student ratings of the 2 methods on a 5-point Likert scale were significantly different. The simulator group rated the simulator more highly as an effective learning tool than the textbook group rated the textbook (means of 3.2 +/- 0.7 and 2.6 +/- 0.5, respectively, P = 0.02). Furthermore, the simulator group indicated that they were more likely to use the simulator as a learning tool if it were available to them than the textbook group was willing to use the textbook (means of 4.0 +/- 1.2 and 3.0 +/- 0.9, respectively, P = 0.02). CONCLUSION: Our results show that this surgical simulator is at least as effective as textbook images for learning anatomy and could enhance student learning through increased motivation. These findings provide insight into simulator development and strategies for learning anatomy. Possible explanations and future research directions are discussed.

Anatomy↗

Surgical simulators using the WWW.

This paper will describe a suite of surgical simulators that we have designed and implemented to run on the WWW. The procedures that have been modelled include simulations of ventricular catheterisation, and lumbar puncture. We will present a detailed overview of implementation and operation of these simulators, and indicate results from early use. The advantages and disadvantages of our approach will be discussed.

Catheterization↗

Spring: a general framework for collaborative, real-time surgical simulation.

We describe the implementation details of a real-time surgical simulation system with soft-tissue modeling and multi-user, multi-instrument, networked haptics. The simulator is cross-platform and runs on various Unix and Windows platforms. It is written in C++ with OpenGL for graphics; GLUT, GLUI, and MUI for user interface; and supports parallel processing. It allows for the relatively easy introduction of patient-specific anatomy and supports many common file formats. It performs soft-tissue modeling, some limited rigid-body dynamics, and suture modeling. The simulator interfaces to many different interaction devices and provides for multi-user, multi-instrument collaboration over the Internet. Many virtual tools have been created and their interactions with tissue have been implemented. In addition, a number of extra features, such as voice input/output, real-time texture-mapped video input, stereo and head-mounted display support, and replicated display facilities are presented.

Computer Communication Networks↗

A review of surgical simulation with attention to validation methodology.

The use of simulation technology for teaching and evaluating surgical skills has gained considerable attention in recent years. This is driven by interest in quality of care, concerns over increasing operative complexity, constraints on the use of animal models, limited available patient material, medicolegal pressures, and fiscal mandates for cost-effective performance. Traditional mechanical models are yielding to techniques dependent on electronic technology, including virtual reality. Data to support the validity of simulation techniques for surgical training, assessment, and certification represent only a fraction of the literature available on the subject. Literature searches were conducted in MEDLINE and ERIC, covering the period from 1966 to the present. The electronic and bioengineering literature was not surveyed due to the extensive literature on technology development, distinct from assessment of context specific validity. The search results and the bibliographies of key review articles were examined to identify articles that contained original data, measured performance between cohorts, defined performance measures, and described a standard against which performance was compared. Most of the literature pertaining to simulation techniques for surgical training has been published within the past 5 years and consist of review, opinion, and feasibility articles. There is an emerging body of evidence to establish the validity of simulation techniques for assessing surgical skills. Further refinement of simulation techniques, identification of specific performance measures, longitudinal evaluations, and comparison to practice outcomes are still needed to establish the validity and the value of surgical simulation for teaching and assessing surgical skills prior to considering implementation for certification purposes.

Animals↗

LR-Spring Mass model for cardiac surgical simulation.

The purpose of the research conducted was to develop a real-time surgical simulator for preoperative planning of surgery in congenital heart disease. The main problem simulating procedures on cardiac morphology is the need for a large degree of detail and simulation speed. In combination with a demand for physically realistic real-time behaviour this gives us tradeoffs not easily balanced. The LR-Spring Mass model handles these constraints by the use of domain specific knowledge.

Algorithms↗

Haptic feedback for the GPU-based surgical simulator.

The GPU has proven to be a powerful processor to compute spring-mass based surgical simulations. It has not previously been shown however, how to effectively implement haptic interaction with a simulation running entirely on the GPU. This paper describes a method to calculate haptic feedback with limited performance cost. It allows easy balancing of the GPU workload between calculations of simulation, visualisation, and the haptic feedback.

Computer Graphics↗

A surgical simulator for cleft lip planning and repair.

The objective of this project was to develop a computer-based surgical simulation system for cleft lip planning and repair. This system allows the user to interact with a virtual patient to perform the traditional steps of cleft-lip repair. The system interfaces to force-feedback (haptic) devices to track the user's motion and provide feedback during the procedure, while performing real-time soft-tissue simulation. An eleven-day old unilateral cleft-lip and palate patient was previously CT scanned for ancillary diagnostic purposes using standard imaging protocols and 1mm slices. High-resolution 3D meshes were automatically generated from this data using the ROVE software created in our lab. The resulting 3D meshes of bone and soft-tissue were instilled with physical properties of soft tissues for purposes of simulation. Once these preprocessing steps were completed, the patient's bone and soft-tissue data are presented on the computer screen in stereo and the user can freely view, rotate, and otherwise interact with the patient's data in real-time. The user is prompted to select anatomical landmarks on the patient data for preoperative planning purposes, then their locations are compared against that of a "gold standard" and a score, derived from their deviation from that standard and time required, is generated. The user can then move a haptic stylus and guide the motion of the virtual cutting tool. The soft tissues can thus be incised using this virtual cutting tool, moved using virtual forceps, and fused in order to perform any of the major procedures for cleft-lip repair. Real-time soft tissue deformation of the mesh realistically simulates normal tissues and haptic-rate (>1kHz) force-feedback is provided. The surgical result of the procedure can then be immediately visualized and the entire training process can be repeated at will. A short evaluation study was also performed. Two groups (nonmedical and plastic surgery residents) of six-people each performed the anatomical marking task of the simulator four times. Results showed that the plastic surgery residents scored consistently better than the people without medical background. Every person's score increased with practice, and the length of time needed to complete the eleven markings decreased. The data was compiled and showed which specific markers consistently took users the longest to identify as well as which locations were hardest to accurately mark. Our findings suggest that the simulator is a valuable training tool, giving residents a way to practice anatomical identification for cleft lip surgery without the risks associated with training on a live patient. Educators can also use the simulator to examine which markers are consistently problematic, and modify their training to address these needs.

Cleft Lip↗

Surgical simulation: an animal tissue model for training in therapeutic and diagnostic bronchoscopy.

A series of surgical simulation exercises has been developed using an animal model to allow trainees to practise basic instrument handling and develop psychomotor skills in bronchoscopy, without risk to patients. A pig model was found to be most suitable. After suitable preparation the model can be used for diagnostic and therapeutic exercises in bronchoscopy, including lavage, biopsy and the removal of various foreign bodies. The model is a safe, inexpensive and convenient means of bronchoscopic training for otolaryngology trainees. For the trained specialist who has to remove bronchial foreign bodies infrequently, the model is a useful way of maintaining skills.

Animals↗

Construct validation of a novel hybrid surgical simulator.

BACKGROUND: Simulated minimal access surgery has improved recently as both a learning and assessment tool. The construct validation of a novel simulator, ProMis, is described for use by residents in training. METHODS: ProMis is a surgical simulator that can design tasks in both virtual and actual reality. A pilot group of surgical residents ranging from novice to expert completed three standardized tasks: orientation, dissection, and basic suturing. The tasks were tested for construct validity. Two experienced surgeons examined the recorded tasks in a blinded fashion using an objective structured assessment of technical skills format (OSATS: task-specific checklist and global rating score) as well as metrics delivered by the simulator. RESULTS: The findings showed excellent interrater reliability (Cronbach's alpha of 0.88 for the checklist and 0.93 for the global rating). The median scores in the experience groups were statistically different in both the global rating and the task-specific checklists (p < 0.05). The scores for the orientation task alone did not reach significance (p = 0.1), suggesting that modification is required before ProMis could be used in isolation as an assessment tool. CONCLUSIONS: The three simulated tasks in combination are construct valid for differentiating experience levels among surgeons in training. This hybrid simulator has potential added benefits of marrying the virtual with actual, and of combining simple box traits and advanced virtual reality simulation.

Computer Simulation↗

Elastically deformable 3D organs for haptic surgical simulation.

This paper describes a technique for incorporating real-time elastically deformable 3D organs in haptic surgical simulators. Our system is a physically based particle model utilizing a mass-springs-damper connectivity with an implicit predictor to speed up calculations during each time step. The solution involves repeated application of Newton's 2ndd Law of motion: F = ma using an implicit solver for numerically solving the differential equations.

Biomechanical Phenomena↗

Cost-effectiveness analysis for computer-aided surgical simulation in complex cranio-maxillofacial surgery.

PURPOSE: The purpose of this study is to assess the costs and benefits of computer-aided surgical simulation (CASS) and to compare it with the current surgical planning methods for complex cranio-maxillofacial (CMF) surgery. MATERIALS AND METHODS: The comparison of methods applies to all CMF surgeries where the patient's condition is severe enough to undergo a computed tomography scan and a stereolithographic model is necessary for the surgical planning process. The costs for each method can be divided into time and other costs. The time was estimated based on the authors' experience as well as on a survey of a small group of 6 experienced CMF surgeons in the United States. The other costs were estimated based on the authors' experience. RESULTS: CASS has lower costs in terms of surgeon time, patient time, and material costs. Specifically, total surgeon hours spent in planning are 5.25 hours compared with 9.75 for current standard methods. Material and scanning costs are Dollars 1,900 for CASS compared with about Dollars 3,510 for standard methods. Patient time for planning is reduced from 4.75 hours to 2.25 hours with CASS. The reduction in both time and other costs remains when the fixed fee costs of CASS are added to the variable costs. Amortized across the 600 patients per year (1,800 for the assumed 3-year life of the training and software), this adds only a few dollars and a fraction of an hour per surgery. Even in the case of a small clinic when the cost is amortized for 6 patients per year (18 patients for the assumed 3-year life of the training and software), the per surgery costs (9.65 hours and Dollars 2,456) will still favor CASS. CONCLUSION: Any great new design should consist of at least 2 of the 3 following features: faster, cheaper, and better outcome. This analysis demonstrates that CASS is faster and less costly than the current standard planning methods for complex CMF surgery. Previous studies have also shown that CASS results in better surgical outcomes. Thus, in all regards, CASS appears to be at least as good as the current methods of surgical planning.

Computer Simulation↗

The Surgical Simulation and Training Markup Language (SSTML): an XML-based language for medical simulation.

Under contract with the Telemedicine & Advanced Technology Research Center (TATRC), Energid Technologies is developing a new XML-based language for describing surgical training exercises, the Surgical Simulation and Training Markup Language (SSTML). SSTML must represent everything from organ models (including tissue properties) to surgical procedures. SSTML is an open language (i.e., freely downloadable) that defines surgical training data through an XML schema. This article focuses on the data representation of the surgical procedures and organ modeling, as they highlight the need for a standard language and illustrate the features of SSTML. Integration of SSTML with software is also discussed.

Computer Simulation↗