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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101-110 订阅

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Generating patient-specific pulmonary vascular models for surgical planning

Generating patient-specific pulmonary vascular models for su...

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

作者： Murff, Daniel Co-Vu, Jennifer O'Dell, Walter G. Univ Florida Dept Biomed Engn Gainesville FL 32611 USA UF Congenital Heart Ctr Gainesville FL 32610 USA Univ Florida Shands Canc Ctr Gainesville FL 32601 USA

ISBN: (纸本)9781628415056

Each year in the U.S., 7.4 million surgical procedures involving the major vessels are performed. Many of our patients require multiple surgeries, and many of the procedures include "surgical exploration". procedures of this kind come with a significant amount of risk, carrying up to a 17.4% predicted mortality rate. This is especially concerning for our target population of pediatric patients with congenital abnormalities of the heart and major pulmonary vessels. This paper offers a novel approach to surgical planning which includes studying virtual and physical models of pulmonary vasculature of an individual patient before operation obtained from conventional 3D X-ray computed tomography (CT) scans of the chest. These models would provide clinicians with a non-invasive, intricately detailed representation of patient anatomy, and could reduce the need for invasive planning procedures such as exploratory surgery. Researchers involved in the AirPROM project have already demonstrated the utility of virtual and physical models in treatment planning of the airways of the chest. Clinicians have acknowledged the potential benefit from such a technology. A method for creating patient-derived physical models is demonstrated on pulmonary vasculature extracted from a CT scan with contrast of an adult human. Using a modified version of the NIH imageJ program, a series of image-processing functions are used to extract and mathematically reconstruct the vasculature tree structures of interest. An auto-generated STL file is sent to a 3D printer to create a physical model of the major pulmonary vasculature generated from 3D CT scans of patients.

关键词： 3D modeling Computed tomography 3D printing Surgery 3D image processing Heart Chest Mathematical modeling Tissues X-ray computed tomography

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Validation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound: preliminary method and results

Validation of model-based deformation correction in image-gu...

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

作者： Clements, Logan W. Collins, Jarrod A. Wu, Yifei Simpson, Amber L. Jarnagin, William R. Miga, Michael I. Vanderbilt Univ Dept Biomed Engn Nashville TN 37235 USA Mem Sloan Kettering Canc Ctr Dept Surg New York NY 10021 USA Vanderbilt Univ Dept Radiol & Radiol Sci Nashville TN 37235 USA Vanderbilt Univ Dept Neurol Surg Nashville TN 37235 USA

ISBN: (纸本)9781628415056

Soft tissue deformation represents a significant error source in current surgical navigation systems used for open hepatic procedures. While numerous algorithms have been proposed to rectify the tissue deformation that is encountered during open liver surgery, clinical validation of the proposed methods has been limited to surface based metrics and sub-surface validation has largely been performed via phantom experiments. Tracked intraoperative ultrasound (iUS) provides a means to digitize sub-surface anatomical landmarks during clinical procedures. The proposed method involves the validation of a deformation correction algorithm for open hepatic image-guided surgery systems via sub-surface targets digitized with tracked iUS. Intraoperative surface digitizations were acquired via a laser range scanner and an optically tracked stylus for the purposes of computing the physical-to-image space registration within the guidance system and for use in retrospective deformation correction. Upon completion of surface digitization, the organ was interrogated with a tracked iUS transducer where the iUS images and corresponding tracked locations were recorded. After the procedure, the clinician reviewed the iUS images to delineate contours of anatomical target features for use in the validation procedure. Mean closest point distances between the feature contours delineated in the iUS images and corresponding 3-D anatomical model generated from the preoperative tomograms were computed to quantify the extent to which the deformation correction algorithm improved registration accuracy. The preliminary results for two patients indicate that the deformation correction method resulted in a reduction in target error of approximately 50%.

关键词： clinical validation biomechanical modeling image-guided surgery open liver surgery soft tissue deformation tracked ultrasound

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Collision detection and modeling of rigid and deformable objects in laparoscopic simulator

Collision detection and modeling of rigid and deformable obj...

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

作者： Dy, Mary-Clare Tagawa, Kazuyoshi Tanaka, Hiromi T. Komori, Masaru Ritsumeikan Univ Kusatsu Shiga Japan Shiga Univ Med Sci Otsu Shiga 52021 Japan

ISBN: (纸本)9781628415056

Laparoscopic simulators are viable alternatives for surgical training and rehearsal. Haptic devices can also be incorporated with virtual reality simulators to provide additional cues to the users. However, to provide realistic feedback, the haptic device must be updated by 1 kHz. On the other hand, realistic visual cues, that is, the collision detection and deformation between interacting objects must be rendered at least 30 fps. Our current laparoscopic simulator detects the collision between a point on the tool tip, and on the organ surfaces, in which haptic devices are attached on actual tool tips for realistic tool manipulation. The triangular-mesh organ model is rendered using a mass spring deformation model, or finite element method-based models. In this paper, we investigated multi-point-based collision detection on the rigid tool rods. Based on the preliminary results, we propose a method to improve the collision detection scheme, and speed up the organ deformation reaction. We discuss our proposal for an efficient method to compute simultaneous multiple collision between rigid (laparoscopic tools) and deformable (organs) objects, and perform the subsequent collision response, with haptic feedback, in real-time.

关键词： Virtual reality Surgical simulation Minimally invasive surgery modeling Collision detection Deformable objects Haptic devices

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Three-dimensional curvilinear device reconstruction from two fluoroscopic views

Three-dimensional curvilinear device reconstruction from two...

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

作者： Delmas, Charlotte Berger, Marie-Odile Kerrien, Erwan Riddell, Cyril Trousset, Yves Anxionnat, Rene Bracard, Serge GE Healthcare Buc France Loria Vandoeuvre Les Nancy France Inria Vandoeuvre Les Nancy France CHU Nancy France

ISBN: (纸本)9781628415056

In interventional radiology, navigating devices under the sole guidance of fluoroscopic images inside a complex architecture of tortuous and narrow vessels like the cerebral vascular tree is a difficult task. Visualizing the device in 3D could facilitate this navigation. For curvilinear devices such as guide-wires and catheters, a 3D reconstruction may be achieved using two simultaneous fluoroscopic views, as available on a biplane acquisition system. The purpose of this paper is to present a new automatic three-dimensional curve reconstruction method that has the potential to reconstruct complex 3D curves and does not require a perfect segmentation of the endovascular device. Using epipolar geometry, our algorithm translates the point correspondence problem into a segment correspondence problem. Candidate 3D curves can be formed and evaluated independently after identifying all possible combinations of compatible 3D segments. Correspondence is then inherently solved by looking in 3D space for the most coherent curve in terms of continuity and curvature. This problem can be cast into a graph problem where the most coherent curve corresponds to the shortest path of a weighted graph. We present quantitative results of curve reconstructions performed from numerically simulated projections of tortuous 3D curves extracted from cerebral vascular trees affected with brain arteriovenous malformations as well as fluoroscopic image pairs of a guide-wire from both phantom and clinical sets. Our method was able to select the correct 3D segments in 97.5% of simulated cases thus demonstrating its ability to handle complex 3D curves and can deal with imperfect 2D segmentation.

关键词： image segmentation 3D image processing 3D acquisition 3D modeling 3D image reconstruction Computer simulations Reconstruction algorithms image-guided intervention Visualization Medicine

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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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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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A Biomechanical approach for in vivo Lung Tumor Motion Prediction during External Beam Radiation Therapy

A Biomechanical approach for <i>in vivo</i> Lung Tumor Motio...

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

作者： Karami, Elham Gaede, Stewart Lee, Ting-Yim Samani, Abbas Univ Western Ontario Dept Med Biophys London ON Canada Robarts Res Inst Imaging Res Labs London ON N6A 5C1 Canada London Reg Canc Program Dept Phys & Engn London ON Canada Univ Western Ontario Dept Oncol London ON Canada Lawson Hlth Res Inst Imaging Program London ON Canada Univ Western Ontario Dept Med Imaging London ON Canada Univ Western Ontario Dept Elect & Comp Engn London ON Canada Univ Western Ontario Grad Program Biomed Engn London ON Canada

ISBN: (纸本)9781628415056

Lung Cancer is the leading cause of cancer death in both men and women. Among various treatment methods currently being used in the clinic, External Beam Radiation Therapy (EBRT) is used widely not only as the primary treatment method, but also in combination with chemotherapy and surgery. However, this method may lack desirable dosimetric accuracy because of respiration induced tumor motion. Recently, biomechanical modeling of the respiratory system has become a popular approach for tumor motion prediction and compensation. This approach requires reasonably accurate data pertaining to thoracic pressure variation, diaphragm position and biomechanical properties of the lung tissue in order to predict the lung tissue deformation and tumor motion. In this paper, we present preliminary results of an in vivo study obtained from a Finite Element Model (FEM) of the lung developed to predict tumor motion during respiration.

关键词： Lung Tumors Motion models Tissues 3D modeling In vivo imaging Data modeling Lung cancer Radiotherapy Finite element methods

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Method for evaluation of predictive models of microwave ablation via post-procedural clinical imaging

Method for evaluation of predictive models of microwave abla...

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

作者： Collins, Jarrod Brown, Daniel Kingham, T. Peter Jarnagin, William R. Miga, Michael I. Clements, Logan W. Vanderbilt Univ Dept Biomed Engn Nashville TN 37235 USA Vanderbilt Univ Med Ctr Dept Radiol & Radiol Sci Nashville TN 37235 USA Mem Sloan Kettering Canc Ctr Dept Surg New York NY 10021 USA Vanderbilt Univ Med Ctr Dept Neurol Surg Nashville TN 37235 USA

ISBN: (纸本)9781628415056

Development of a clinically accurate predictive model of microwave ablation (MWA) procedures would represent a significant advancement and facilitate an implementation of patient-specific treatment planning to achieve optimal probe placement and ablation outcomes. While studies have been performed to evaluate predictive models of MWA, the ability to quantify the performance of predictive models via clinical data has been limited to comparing geometric measurements of the predicted and actual ablation zones. The accuracy of placement, as determined by the degree of spatial overlap between ablation zones, has not been achieved. In order to overcome this limitation, a method of evaluation is proposed where the actual location of the MWA antenna is tracked and recorded during the procedure via a surgical navigation system. Predictive models of the MWA are then computed using the known position of the antenna within the preoperative image space. Two different predictive MWA models were used for the preliminary evaluation of the proposed method: (1) a geometric model based on the labeling associated with the ablation antenna and (2) a 3-D finite element method based computational model of MWA using COMSOL. Given the follow-up tomographic images that are acquired at approximately 30 days after the procedure, a 3-D surface model of the necrotic zone was generated to represent the true ablation zone. A quantification of the overlap between the predicted ablation zones and the true ablation zone was performed after a rigid registration was computed between the pre- and post-procedural tomograms. While both model show significant overlap with the true ablation zone, these preliminary results suggest a slightly higher degree of overlap with the geometric model.

关键词： hepatic microwave ablation predictive modeling

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Integration of a biomechanical simulation for mitral valve reconstruction into a knowledge-based surgery assistance system

Integration of a biomechanical simulation for mitral valve r...

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

作者： Schoch, Nicolai Engelhardt, Sandy Zimmermann, Norbert Speidel, Stefanie De Simone, Raffaele Wolf, Ivo Heuveline, Vincent Heidelberg Univ Engn Math & Comp Lab Heidelberg Germany German Canc Res Ctr Med & Biol Informat Heidelberg Germany Univ Heidelberg Hosp Cardiac Surg Heidelberg Germany Karlsruhe Inst Technol Inst Anthropomat D-76021 Karlsruhe Germany Mannheim Univ Appl Sci Mannheim Germany

ISBN: (纸本)9781628415056

A mitral valve reconstruction (MVR) is a complex operation in which the functionality of incompetent mitral valves is re-established by applying surgical techniques. This work deals with predictive biomechanical simulations of operation scenarios for an MVR, and the simulation's integration into a knowledge-based surgery assistance system. We present a framework for the definition of the corresponding surgical workflow, which combines semantically enriched surgical expert knowledge with a biomechanical simulation. Using an ontology, 'surgical rules' which describe decision and assessment criteria for surgical decision-making are represented in a knowledge base. Through reasoning these 'rules' can then be applied on patient-specific data in order to be converted into boundary conditions for the biomechanical soft tissue simulation, which is based on the Finite Elements Method (FEM). The simulation, which is implemented in the open-source C++ FEM software HiFlow(3), is controlled via the Medical Simulation Markup Language (MSML), and makes use of High Performance Computing (HPC) methods to cope with real-time requirements in surgery. The simulation results are presented to surgeons to assess the quality of the virtual reconstruction and the consequential remedial effects on the mitral valve and its functionality. The whole setup has the potential to support the intraoperative decision-making process during MVR where the surgeon usually has to make fundamental decision under time pressure.

关键词： Biomechanical FEM Simulation High Performance Computing (HPC) Surgical Reasoning Surgery Assistance Mitral Valve modeling Mitral Valve Simulation Mitral Valve Reconstruction Medical Simulation Markup Language (MSML) Integrated Biomechanical Simulation Framework

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Scaphoid Fracture Fixation: Localization of Bones through Statistical Model to Ultrasound Registration

Scaphoid Fracture Fixation: Localization of Bones through St...

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

作者： Abu Anas, Emran Mohammad Rasoulian, Abtin St John, Paul Pichora, David Mousavi, Parvin Lessoway, Victoria A. Seitel, Alexander Hacihaliloglu, Ilker Rohling, Robert Abolmaesumi, Purang Univ British Columbia Elect & Comp Engn Vancouver BC V5Z 1M9 Canada Kingston Gen Hosp Kingston ON K7L 2V7 Canada Queens Univ Kingston Sch Comp Kingston ON K7L 3N6 Canada BC Womens Hosp Vancouver BC Canada Rutgers State Univ Biomed Engn Piscataway NJ 08855 USA Univ British Columbia Mech Engn Vancouver BC V5Z 1M9 Canada

ISBN: (纸本)9781628415056

Percutaneous treatment of scaphoid fractures has found increasing interest in recent years as it promises to minimize soft-tissue damage, and minimizes the risk of infections and the loss of the joint stability. However, as this procedure is mostly performed on 2D fluoroscopic images, the accurate localization of the scaphoid bone for fracture fixation renders extremely challenging. In this work, we thus propose the integration of a statistical wrist model with 3D intraoperative ultrasound for accurate localization of the scaphoid bone. We utilize a previously developed statistical wrist model and register it to bone surfaces in ultrasound images using a probabilistic approach that involves expectation-maximization. We utilize local phase symmetry to detect features in noisy ultrasound images;in addition, we use shadow information in ultrasound images to enhance and set apart bone from other features. Feasibility experiments are performed by registering the wrist model to 3D ultrasound volumes of two different wrists at two different wrist positions. And the result indicates a potential of the proposed technique for localization of the scaphoid bone in ultrasound images.

关键词： Bone 3D modeling image registration Statistical analysis Ultrasonography Statistical modeling Clouds Surgery Navigation systems Injuries

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