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检索条件"任意字段=Conference on SPIE Image-Guided Procedures, Robotic Interventions, and Modeling"

共 167 条记录，以下是61-70 订阅

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Face-based Smoothed Finite Element Method for Real-time Simulation of soft tissue

Face-based Smoothed Finite Element Method for Real-time Simu...

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conference on Medical Imaging - image-guided procedures, robotic interventions, and modeling

作者： Mendizabal, Andrea Duparc, Remi Bessard Bui, Huu Phuoc Paulus, Christoph J. Peterlik, Igor Cotin, Stephane Inria Nancy Grand Est F-54603 Villers Les Nancy France Univ Strasbourg CNRS ICube F-67000 Strasbourg France

ISBN: (数字)9781510607163

ISBN: (纸本)9781510607156;9781510607163

In soft tissue surgery, a tumor and other anatomical structures are usually located using the preoperative CT or MR images. However, due to the deformation of the concerned tissues, this information suffers from inaccuracy when employed directly during the surgery. In order to account for these deformations in the planning process, the use of a bio-mechanical model of the tissues is needed. Such models are often designed using the finite element method (FEM), which is, however, computationally expensive, in particular when a high accuracy of the simulation is required. In our work, we propose to use a smoothed finite element method (S-FEM) in the context of modeling of the soft tissue deformation. This numerical technique has been introduced recently to overcome the overly stiff behavior of the standard FEM and to improve the solution accuracy and the convergence rate in solid mechanics problems. In this paper, a face-based smoothed finite element method (FS-FEM) using 4-node tetrahedral elements is presented. We show that in some cases, the method allows for reducing the number of degrees of freedom, while preserving the accuracy of the discretization. The method is evaluated on a simulation of a cantilever beam loaded at the free end and on a simulation of a 3D cube under traction and compression forces. Further, it is applied to the simulation of the brain shift and of the kidney's deformation. The results demonstrate that the method outperforms the standard FEM in a bending scenario and that has similar accuracy as the standard FEM in the simulations of the brain-shift and of the kidney's deformation.

关键词： smoothed finite element method strain smoothing real-time simulation soft tissue modeling

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Freehand SPECT reconstructions using look up tables

Freehand SPECT reconstructions using look up tables

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conference on Medical Imaging - image-guided procedures, robotic interventions and modeling

作者： Hartl, Alexander Shakir, Dzhoshkun I. Kojchev, Risto Navab, Nassir Ziegler, Sibylle I. Lasser, Tobias Tech Univ Munich CAMP D-8000 Munich Germany Tech Univ Munich Dept Nucl Med Klin Rech Isar Munich Germany

ISBN: (纸本)9780819489654

Nuclear imaging is a commonly used tool in today's diagnostics and therapy planning. For interventional use however it suffers from drawbacks which limit its application. Freehand SPECT was developed to overcome these limitations and to provide 3D functional imaging during an intervention. It combines a nuclear probe with an optical tracking system to obtain its position and orientation in space synchronized with its reading. This information can be used to compute a 3D tomographic reconstruction of an activity distribution. However, as there is no fixed geometry the system matrix has to be computed on-the-fly, using ad-hoc models of the detection process. One solution for such a model is a reference look up table of previously acquired measurements of a single source at different angles and distances. In this work two look up tables with a one and four millimeter step size between the entries were acquired. Twelve datasets of a phantom with two hollow spheres filled with a solution of Tc99wm were acquired with the Freehand SPECT system. Reconstructions with the look up tables and two analytical models currently in use were performed with these datasets and compared with each other. The finely sampled look up table achieved the qualitatively best reconstructions, while one of the analytical models showed the best positional accuracy.

关键词： Optical spheres Single photon emission computed tomography Sensors 3D modeling Data modeling Solids 3D image processing Diagnostics Nuclear imaging Optical tracking

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Patient-specific 4D Monte Carlo Dose Accumulation using Correspondence Model Based Motion Prediction

Patient-specific 4D Monte Carlo Dose Accumulation using Corr...

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conference on Medical Imaging - image-guided procedures, robotic interventions, and modeling

作者： Sentker, Thilo Madesta, Frederic Werner, Rene Univ Med Ctr Hamburg Eppendorf Dept Computat Neurosci Hamburg Germany Univ Med Ctr Hamburg Eppendorf Dept Radiotherapy & Radiooncol Hamburg Germany

ISBN: (纸本)9781510625501

Quality assurance in current 4D radiotherapy workflows is of great importance to assure a positive treatment outcome, i.e. total tumor eradication. Especially for the treatment of lung and liver tumors, which are subject to high motion magnitudes due to patient breathing, it is crucial to verify the applied dose to the target volume. In this study, we present a new 4D Monte Carlo dose accumulation approach that accounts for internal patient motion during treatment and is therefore able to predict the actual 3D dose distribution delivered to the patient for quality assurance purposes. Monte Carlo simulations are conducted using the EGSnrc software toolkit, which models the propagation of photons, electrons and positrons. However, to consider dynamic beam parameters and the movement of internal patient geometry, we developed a method to compute the dose for each control point of the actual VMAT patient treatment plan to account for breathing induced internal patient motion. The internal motion during treatment is predicted using correspondence modeling, which correlates patient-specific DIR-based internal motion information and external breathing signals and is trained on 4D CT data of the patient. For each VMAT control point, a corresponding motion vector field is predicted and applied to the original patient CT to allow for dose computation on the patient geometry as it was irradiated during treatment. Thus, density changes while treatment due to patient breathing motion are taken into account during computation of the resulting dose distribution.

关键词： Monte Carlo simulation 4D dose accumulation correspondence modeling deformable image registration

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Simulated evaluation of an intraoperative surface modeling method for catheter ablation by a real phantom simulation experiment

Simulated evaluation of an intraoperative surface modeling m...

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conference on Medical Imaging - image-guided procedures, robotic interventions, and modeling

作者： Sun, Deyu Rettmann, Maryam E. Packer, Douglas Robb, Richard A. Holmes, David R., III Mayo Clin Biomed Imaging Resources Rochester MN 55905 USA Mayo Clin Div Cardiovasc Dis Rochester MN 55905 USA

ISBN: (纸本)9781628415056

In this work, we propose a phantom experiment method to quantitatively evaluate an intraoperative left-atrial modeling update method. In prior work, we proposed an update procedure which updates the preoperative surface model with information from real-time tracked 2D ultrasound. Prior studies did not evaluate the reconstruction using an anthropomorphic phantom. In this approach, a silicone heart phantom (based on a high resolution human atrial surface model reconstructed from CT images) was made as simulated atriums. A surface model of the left atrium of the phantom was deformed by a morphological operation simulating the shape difference caused by organ deformation between pre-operative scanning and intra-operative guidance. During the simulated procedure, a tracked ultrasound catheter was inserted into right atrial phantom scanning the left atrial phantom in a manner mimicking the cardiac ablation procedure. By merging the preoperative model and the intraoperative ultrasound images, an intraoperative left atrial model was reconstructed. According to results, the reconstruction error of the modeling method is smaller than the initial geometric difference caused by organ deformation. As the area of the left atrial phantom scanned by ultrasound increases, the reconstruction error of the intraoperative surface model decreases. The study validated the efficacy of the modeling method.

关键词： intraoperative left atrial surface reconstruction Poisson Equation Reconstruction intra-cardiac echocardiography catheter ablation phantom evaluation

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Pre- to post-operative CT image registration to estimate cortical shift for image updating in deep brain stimulation

Pre- to post-operative CT image registration to estimate cor...

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conference on Medical Imaging - image-guided procedures, robotic interventions, and modeling

作者： Li, Chen Fan, Xiaoyao Aronson, Joshua Paulsen, Keith D. Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA Dartmouth Coll Geisel Sch Med Hanover NH 03755 USA Norris Cotton Canc Ctr Lebanon NH 03756 USA Dartmouth Hitchcock Med Ctr Lebanon NH 03756 USA

ISBN: (数字)9781510616424

ISBN: (纸本)9781510616424

The success of deep brain stimulations (DBS) heavily relies on the accurate placement of electrodes in the operating room (OR). However, the pre-operative images such as MRI and CT for surgical targeting are degraded by brain shift, a combination of brain movement and deformation. One way to compensate for this intra-operative brain shift is to utilize a nonlinear biomechanical brain model to estimate the whole brain deformation based on which an updated MR can be generated. Due to the variability of deformation in both magnitude and direction among different cases, partially sampled intraoperative data (e.g., O-arm, CT) of tissue motion is critical to guide the model estimation. In this paper, we present a method to extract the sparse data by matching brain surface features from pre- and post-operative CTs, followed by the reconstruction of the full 3d-displacement field based on the original spatial information of these 2d points. Specifically, the size and the location of the sparse data were determined based on the pneumocephalus in the post-operative CT. The 2D CT-encoded texture maps from both pre-and post-operative CTs were then registered using Demons algorithm. The final 3d-displacement field in our one-patient-example shows an average lateral shift of 1.42mm, and a shift of 10.11mm in the direction of gravity. The results presented in this work have shown the potential of assimilating the sparse data from intra-operative images into the pipeline of model-based image guidance for DBS in the future.

关键词： Deep Brain Stimulation brain shift image-guided neurosurgery sparse data biomechanical brain modeling

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A comparison of geometry- and feature-based sparse data extraction for model-based image updating in deep brain stimulation surgery

A comparison of geometry- and feature-based sparse data extr...

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conference on Medical Imaging - image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9781510625501

Deep brain stimulation (DBS) electrode placement is a burr-hole procedure for the treatment of patients with neuro-degenerative disease such as Parkinson's disease, essential tremor and dystonia. Accurate placement of electrodes is the key to optimal surgical outcome. However, the accuracy of pre-operative images used for surgical planning are often degraded by intraoperative brain shift. To compensate for intraoperative target deviation, we have developed a biomechanical model, driven by partially sampled displacements between pre- and postCT, to estimate a whole brain displacement field based on which updated CT (uCT) can be generated. The results of the finite element model depend on sparse data, as the model minimizes the difference between model estimates and sparse data. Existing approaches to extract sparse data from brain surface are typically geometry or feature-based. In this paper, we explore a geometry based iterative closest point (ICP) algorithm and a feature-based image registration algorithm, and drive the model with 1) geometry-based sparse data only, 2) feature-based sparse data only, and 3) combined data from 1) and 2). We assess the model performance in terms of model-data misfit, as well as target registration errors (TREs) at the anterior commissure (AC) and posterior commissure (PC). Results show that the model driven by the geometry-based sparse data reduced the TREs of preCT from 1.65mm to 1.26 mm and 1.88 mm to 1.58 mm at AC and PC, respectively by compensating majorly along the direction of gravity and the longitudinal axis, whereas feature-based sparse data contributed to the compensation along the lateral direction at PC.

关键词： Brain shift deep brain stimulation image-guided surgery sparse data computational modeling biomechanical model

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Statistical shape modeling based renal volume measurement using tracked ultrasound

Statistical shape modeling based renal volume measurement us...

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conference on Medical Imaging - image-guided procedures, robotic interventions, and modeling

作者： Raikar, Vipul Pai Kwartowitz, David M. Clemson Univ Dept Bioengn Clemson SC 29634 USA

ISBN: (数字)9781510607163

ISBN: (纸本)9781510607156;9781510607163

Autosomal dominant polycystic kidney disease (ADPKD) is the fourth most common cause of kidney transplant worldwide accounting for 7-10% of all cases. Although ADPKD usually progresses over many decades, accurate risk prediction is an important task.(1) Identifying patients with progressive disease is vital to providing new treatments being developed and enable them to enter clinical trials for new therapy. Among other factors, total kidney volume (TKV) is a major biomarker predicting the progression of ADPKD. Consortium for Radiologic Imaging Studies in Polycystic Kidney Disease (CRISP)2 have shown that TKV is an early, and accurate measure of cystic burden and likely growth rate. It is strongly associated with loss of renal function.(3) While ultrasound (US) has proven as an excellent tool for diagnosing the disease;monitoring short-term changes using ultrasound has been shown to not be accurate. This is attributed to high operator variability and reproducibility as compared to tomographic modalities such as CT and MR (Gold standard). Ultrasound has emerged as one of the standout modality for intra-procedural imaging and with methods for spatial localization has afforded us the ability to track 2D ultrasound in physical space which it is being used. In addition to this, the vast amount of recorded tomographic data can be used to generate statistical shape models that allow us to extract clinical value from archived image sets. In this work, we aim at improving the prognostic value of US in managing ADPKD by assessing the accuracy of using statistical shape model augmented US data, to predict TKV, with the end goal of monitoring short-term changes.

关键词： Statistical Shape modeling Tracked Ultrasound ADPKD

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A mold design for creating low-cost, patient specific models with complex anatomy

A mold design for creating low-cost, patient specific models...

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conference on Medical Imaging - image-guided procedures, robotic interventions, and modeling

作者： Vassallo, Reid Bainbridge, Daniel Moore, John Peters, Terry Western Univ London Dept Med Biophys London ON Canada Western Univ London Dept Biomed Engn London ON Canada Western Univ London Robarts Res Inst London ON Canada London Hlth Sci Ctr London ON Canada

ISBN: (数字)9781510616424

ISBN: (纸本)9781510616424

Physical models of patient anatomy have been used increasingly as 3D printing technologies have become mainstream. Such models can be used for both the validation of new minimally invasive surgical techniques, as well as surgical rehearsal and training. However, current workflows for creating flexible models with complex anatomy rely on the use of expensive 3D printing techniques. We present a mold design with which we create patient-specific physical models using low-cost techniques and materials. This generic mold makes it possible to create physical models with multiple components and complex internal structures including tumours, vasculature and other anatomic components with accuracy. To demonstrate this, we have created kidney models derived from the CT of excised porcine kidneys, including vasculature and an artificial tumor. We created the models in two parts, first using a rigid positive model to create a negative mold, and then creating a silicone model with the 3D printed vasculature inside, and removing it to leave wall-less vessels. The vasculature models include at least six separate bifurcations with minimum lumen diameters of approximately 1mm. The mean Euclidean offset distance between the model and original vessels was 0.42 mm, with a standard deviation of 0.50 mm. Both generic and patient specific models can be built with this workflow.

关键词： 3D modeling Kidney Process modeling Solid modeling Tumors Tissues Silicon Data modeling 3D printing Computer aided design Blood vessels

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Registering Stereovision Surface with Preoperative Magnetic Resonance images for Brain Shift Compensation

Registering Stereovision Surface with Preoperative Magnetic ...

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conference on Medical Imaging - image-guided procedures, robotic interventions and modeling

作者： Fan, Xiaoyao Ji, Songbai Hartov, Alex Roberts, David Paulsen, Keith Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA Dartmouth Coll Dartmouth Med Sch Hanover NH 03755 USA Dartmouth Coll Hitchcock Med Ctr Norris Cotton Canc Ctr Lebanon NH 03756 USA Dartmouth Coll Hitchcock Med Ctr Survey Sect Lebanon NH 03756 USA

ISBN: (纸本)9780819489654

Intraoperative brain deformation can significantly degrade the accuracy of image guidance using preoperative MR images (pMR). To compensate for brain deformation, biomechanical models have been used to assimilate intraoperative displacement data, compute whole-brain deformation field, and to produce updated MR images (uMR). Stereovision (SV) is an important technique to capture both geometry and texture information of exposed cortical surface at the craniotomy, from which surface displacement data (known as sparse data) can be extracted by registering with pMR to drive the computational model. Approaches that solely utilize geometrical information (e.g., closest point distance (CPD) and iterative closest point (ICP) method) do not seem to capture surface deformation accurately especially when significant lateral shift occurs. In this study, we have developed a texture intensity-based method to register cortical surface reconstructed from stereovision after dural opening with pMR to extract 3D sparse data. First, a texture map is created from pMR using surface geometry before dural opening. Second, a mutual information (MI)-based registration was performed between the texture map and the corresponding stereo image after dural opening to capture the global lateral shift. A block-matching algorithm was then executed to differentiate local displacements in smaller patches. The global and local displacements were finally combined and transformed in 3D following stereopsis. We demonstrate the application of the proposed method with a clinical patient case, and show that the accuracy of the technique is 1-2 mm in terms of model-data misfit with a computation time <10 min.

关键词： image-guided neurosurgery brain deformation computational modeling stereovision surface registration

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Application and histology-driven refinement of active contour models to functional region and nerve delineation: towards digital brainstem atlas

Application and histology-driven refinement of active contou...

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conference on Medical Imaging - image-guided procedures, robotic interventions, and modeling

作者： Patel, Nirmal Sultana, Sharmin Rashid, Tanweer Krusienski, Dean Audette, Michel A. Old Dominion Univ Dept Modeling Simulat & Visualizat Engn Norfolk VA 23529 USA Old Dominion Univ Dept Elect & Comp Engn Norfolk VA 23529 USA

ISBN: (纸本)9781628415056

This paper presents a methodology for the digital formatting of a printed atlas of the brainstem and the delineation of cranial nerves from this digital atlas. It also describes on-going work on the 3D resampling and refinement of the 2D functional regions and nerve contours. In MRI-based anatomical modeling for neurosurgery planning and simulation, the complexity of the functional anatomy entails a digital atlas approach, rather than less descriptive voxel or surface-based approaches. However, there is an insufficiency of descriptive digital atlases, in particular of the brainstem. Our approach proceeds from a series of numbered, contour-based sketches coinciding with slices of the brainstem featuring both closed and open contours. The closed contours coincide with functionally relevant regions, whereby our objective is to fill in each corresponding label, which is analogous to painting numbered regions in a paint-by-numbers kit. Any open contour typically coincides with a cranial nerve. This 2D phase is needed in order to produce densely labeled regions that can be stacked to produce 3D regions, as well as identifying the embedded paths and outer attachment points of cranial nerves. Cranial nerves are modeled using an explicit contour based technique called 1-Simplex. The relevance of cranial nerves modeling of this project is two-fold: i) this atlas will fill a void left by the brain segmentation communities, as no suitable digital atlas of the brainstem exists, and ii) this atlas is necessary to make explicit the attachment points of major nerves (except I and II) having a cranial origin.

关键词： digital atlas contour models surface models brainstem cranial nerves

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