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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141-150 订阅

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Intraoperative Brain Tumor Resection Cavity Characterization with Conoscopic Holography

Intraoperative Brain Tumor Resection Cavity Characterization...

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

作者： Simpson, Amber L. Burgner, Jessica Chen, Ishita Pheiffer, Thomas S. Sun, Kay Thompson, Reid C. Webster, Robert J., III Miga, Michael I. Vanderbilt Univ Dept Biomed Engn Nashville TN 37235 USA

ISBN: (纸本)9780819489654

Brain shift compromises the accuracy of neurosurgical image-guided interventions if not corrected by either intraoperative imaging or computational modeling. The latter requires intraoperative sparse measurements for constraining and driving model-based compensation strategies. Conoscopic holography, an interferometric technique that measures the distance of a laser light illuminated surface point from a fixed laser source, was recently proposed for non-contact surface data acquisition in image-guided surgery and is used here for validation of our modeling strategies. In this contribution, we use this inexpensive, hand-held conoscopic holography device for intraoperative validation of our computational modeling approach to correcting for brain shift. Laser range scan, instrument swabbing, and conoscopic holography data sets were collected from two patients undergoing brain tumor resection therapy at Vanderbilt University Medical Center. The results of our study indicate that conoscopic holography is a promising method for surface acquisition since it requires no contact with delicate tissues and can characterize the extents of structures within confined spaces. We demonstrate that for two clinical cases, the acquired conoprobe points align with our model-updated images better than the uncorrected images lending further evidence that computational modeling approaches improve the accuracy of image-guided surgical interventions in the presence of soft tissue deformations.

关键词： Tumors Brain Holography Lawrencium Data acquisition 3D modeling Mathematical modeling Signal to noise ratio Neuroimaging Tissues

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Coronary Arteries Motion modeling on 2-D X-ray images

Coronary Arteries Motion Modeling on 2-D X-ray Images

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

作者： Gao, Yang Sundar, Hari Siemens Corp Res Dept Imaging & Visualizat Princeton NJ 08540 USA

ISBN: (纸本)9780819489654

During interventional procedures, 3D imaging modalities like CT and MRI are not commonly used due to interference with the surgery and radiation exposure concerns. Therefore, real-time information is usually limited and building models of cardiac motion are difficult. In such case, vessel motion modeling based on 2-D angiography images become indispensable. Due to issues with existing vessel segmentation algorithms and the lack of contrast in occluded vessels, manual segmentation of certain branches is usually necessary. In addition, such occluded branches are the most important vessels during coronary interventions and obtaining motion models for these can greatly help in reducing the procedure time and radiation exposure. Segmenting different cardiac phases independently does not guarantee temporal consistency and is not efficient for occluded branches required manual segmentation. In this paper, we propose a coronary motion modeling system which extracts the coronary tree for every cardiac phase, maintaining the segmentation by tracking the coronary tree during the cardiac cycle. It is able to map every frame to the specific cardiac phase, thereby inferring the shape information of the coronary arteries using the model corresponding to its phase. Our experiments show that our motion modeling system can achieve promising results with real-time performance.

关键词： Cardiac Angiography Coronary motion modeling motion tracking

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Optimizing the delivery of deep brain stimulation using electrophysiological atlases and an inverse modeling approach

Optimizing the delivery of deep brain stimulation using elec...

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

作者： Sun, Kay Pallavaram, Srivatsan Rodriguez, William D'Haese, Pierre-Francois Dawant, Benoit M. Miga, Michael I. Vanderbilt Univ Dept Biomed Engn Nashville TN 37235 USA

ISBN: (纸本)9780819489654

The use of deep brain stimulation (DBS) for the treatment of neurological movement degenerative disorders requires the precise placement of the stimulating electrode and the determination of optimal stimulation parameters that maximize symptom relief (e. g. tremor, rigidity, movement difficulties, etc.) while minimizing undesired physiological side-effects. This study demonstrates the feasibility of determining the ideal electrode placement and stimulation current amplitude by performing a patient-specific multivariate optimization using electrophysiological atlases and a bioelectric finite element model of the brain. Using one clinical case as a preliminary test, the optimization routine is able to find the most efficacious electrode location while avoiding the high side-effect regions. Future work involves optimization validation clinically and improvement to the accuracy of the model.

关键词： Deep brain stimulation finite element modeling optimization

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3D Catheter Reconstruction using Non-Rigid Structure-from-Motion and robotics modeling

3D Catheter Reconstruction using Non-Rigid Structure-from-Mo...

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

作者： Papalazarou, Chrysi Rongen, Peter M. J. de With, Peter H. N. Eindhoven Univ Technol POB 513 NL-5600 MB Eindhoven Netherlands Philips Healthcare Best Netherlands

ISBN: (纸本)9780819489654

Surgical guidance during minimally invasive intervention could be greatly enhanced if the 3D location and orientation of instruments, especially catheters, is available. In this paper, we present a new method for the 3D reconstruction of deforming curvilinear objects such as catheters, using the framework of Non-Rigid Structure-from-Motion (NRSfM). We combine NRSfM with a kinematics model from the field of robotics, which provides a low-dimensional parametrization of the object deformation. This is used in the context of an X-ray imaging system where multiple views are acquired with a small view separation. We show that using such a kinematics model, a non-linear optimization scheme succeeds in retrieving the deformable 3D pose from the 2D projections. Experiments on synthetic and real X-ray data show promising results of the proposed method as compared to state-of-the-art NRSfM.

关键词： Multi-view X-ray catheter reconstruction NRSfM kinematic modeling 3D shape recovery

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Fusion of Intraoperative Force Sensoring, Surface Reconstruction and Biomechanical modeling

Fusion of Intraoperative Force Sensoring, Surface Reconstruc...

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

作者： Roehla, S. Bodenstedt, S. Kuederle, C. Suwelack, S. Kenngott, H. Mueller-Stich, B. P. Dillmann, R. Speidel, S. Karlsruhe Inst Technol Dept Comp Sci Inst Anthropomat Karlsruhe Germany Univ Heidelberg Hosp Dept Gen Visceral & Transplantat Surg Heidelberg Germany

ISBN: (纸本)9780819489654

Minimally invasive surgery is medically complex and can heavily benefit from computer assistance. One way to help the surgeon is to integrate preoperative planning data into the surgical workflow. This information can be represented as a customized preoperative model of the surgical site. To use it intraoperatively, it has to be updated during the intervention due to the constantly changing environment. Hence, intraoperative sensor data has to be acquired and registered with the preoperative model. Haptic information which could complement the visual sensor data is still not established. In addition, biomechanical modeling of the surgical site can help in reflecting the changes which cannot be captured by intraoperative sensors. We present a setting where a force sensor is integrated into a laparoscopic instrument. In a test scenario using a silicone liver phantom, we register the measured forces with a reconstructed surface model from stereo endoscopic images and a finite element model. The endoscope, the instrument and the liver phantom are tracked with a Polaris optical tracking system. By fusing this information, we can transfer the deformation onto the finite element model. The purpose of this setting is to demonstrate the principles needed and the methods developed for intraoperative sensor data fusion. One emphasis lies on the calibration of the force sensor with the instrument and first experiments with soft tissue. We also present our solution and first results concerning the integration of the force sensor as well as accuracy to the fusion of force measurements, surface reconstruction and biomechanical modeling.

关键词： image-guided Therapy Force sensoring Sensor data fusion Registration Finite Element modelling

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Lung tumor motion prediction during lung brachytherapy using Finite Element Model

Lung tumor motion prediction during lung brachytherapy using...

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

作者： Shirzadi, Zahra Naini, Ali Sadeghi Samani, Abbas Univ Western Ontario Grad Program Biomed Engn London ON Canada Univ Western Ontario Dept Elect & Comp Engn London ON Canada Robarts Res Inst RRI Imaging Res Labs London ON Canada Univ Western Ontario Dept Med Biophys London ON Canada

ISBN: (纸本)9780819489654

A biomechanical model is proposed to predict deflated lung tumor motion caused by diaphragm respiratory motion. This model can be very useful for targeting the tumor in tumor ablative procedures such as lung brachytherapy. To minimize motion within the target lung, these procedures are performed while the lung is deflated. However, significant amount of tissue deformation still occurs during respiration due to the diaphragm contact forces. In the absence of effective real-time image guidance, biomechanical models can be used to estimate tumor motion as a function of diaphragm's position. To develop this model, Finite Element Method (FEM) was employed. To demonstrate the concept, we conducted an animal study of an ex-vivo porcine deflated lung with a tumor phantom. The lung was deformed by compressing a diaphragm mimicking cylinder against it. Before compression, 3D-CT image of this lung was acquired, which was segmented and turned into FE mesh. The lung tissue was modeled as hyperelastic material with a contact loading to calculate the lung deformation and tumor motion during respiration. To validate the results from FE model, the motion of a small area on the surface close to the tumor was tracked while the lung was being loaded by the cylinder. Good agreement was demonstrated between the experiment results and simulation results. Furthermore, the impact of tissue hyperelastic parameters uncertainties in the FE model was investigated. For this purpose, we performed in-silico simulations with different hyperelastic parameters. This study demonstrated that the FEM was accurate and robust for tumor motion prediction.

关键词： Biomechanical modeling Finite Element Method Deflated lung Brachytherapy Hyperelastic parameters Diaphragm contact effect

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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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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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Two new ad-hoc models of detection physics and their evaluation for navigated beta probe surface imaging

Two new ad-hoc models of detection physics and their evaluat...

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

作者： Shakir, Dzhoshkun I. Hartl, Alexander Schneider, Florian R. Pulko, Jozef Ziegler, Sibylle I. Navab, Nassir Lasser, Tobias Tech Univ Munich CAMP D-8000 Munich Germany Tech Univ Munich Nucl Med Dept Klin Rech Isar Munich Germany Tech Univ Munich Dept Phys Munich Germany

ISBN: (纸本)9780819489654

Intra-operative surface imaging with navigated beta probes in conjunction with positron-emitting radio-tracers like F-18-FDG has been shown to enable control of tumor resection borders. We showed previously that employing iterative reconstruction (MLEM) in conjunction with an ad-hoc model of the detection physics (based on solid-angle geometry, SA) improves the image quality. In this study, we sampled the beta probe readings of a point source using a precision step-motor to generate a look-up-table (LUT) model. We also generated a simplified geometrical model (SG) based on this data set. To see how these two models influence the image quality compared to the old SA model, we reconstructed images from sparsely sampled datasets of a phantom with three hotspots using each model. The images yielded 76% (SA), 81% (SG), and 81% (LUT) mean NCC compared to the ground truth. The SG and LUT models, however, could resolve the hotspots better in the datasets where the detector-to-phantom distance was larger. Additionally, we compared the deviations of the SA and SG analytical models to the measured LUT model, where we found that the SG model gives estimates substantially closer to the actual beta probe readings than the previous SA model.

关键词： Data modeling Seaborgium Physics image quality Statistical modeling Sensors Tumors Signal attenuation Instrument modeling Visualization

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Procedural wound geometry and blood flow generation for medical training simulators

Procedural wound geometry and blood flow generation for medi...

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

作者： Aras, Rifat Shen, Yuzhong Li, Jiang Old Dominion Univ Dept Modeling Simulat & Visualizat Eng Norfolk VA 23529 USA Old Dominion Univ Dept Elect & Comp Engn Norfolk VA 23529 USA

ISBN: (纸本)9780819489654

Efficient application of wound treatment procedures is vital in both emergency room and battle zone scenes. In order to train first responders for such situations, physical casualty simulation kits, which are composed of tens of individual items, are commonly used. Similar to any other training scenarios, computer simulations can be effective means for wound treatment training purposes. For immersive and high fidelity virtual reality applications, realistic 3D models are key components. However, creation of such models is a labor intensive process. In this paper, we propose a procedural wound geometry generation technique that parameterizes key simulation inputs to establish the variability of the training scenarios without the need of labor intensive remodeling of the 3D geometry. The procedural techniques described in this work are entirely handled by the graphics processing unit (GPU) to enable interactive real-time operation of the simulation and to relieve the CPU for other computational tasks. The visible human dataset is processed and used as a volumetric texture for the internal visualization of the wound geometry. To further enhance the fidelity of the simulation, we also employ a surface flow model for blood visualization. This model is realized as a dynamic texture that is composed of a height field and a normal map and animated at each simulation step on the GPU. The procedural wound geometry and the blood flow model are applied to a thigh model and the efficiency of the technique is demonstrated in a virtual surgery scene.

关键词： procedural techniques wound geometry surface blood flow medical training simulators

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