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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151-160 订阅

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Progress in Biomedical Optics and Imaging - Proceedings of spie

Progress in Biomedical Optics and Imaging - Proceedings of S...

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Medical Imaging 2016: image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9781510600218

The proceedings contain 99 papers. The topics discussed include: fast generation of digitally reconstructed radiograph through an efficient preprocessing of ray attenuation values;automatic detection of a hand-held needle in ultrasound via phased-based analysis of the tremor motion;automatic masking for robust 3D-2D image registration in image-guided spine surgery;real-time self-calibration of a tracked augmented reality display;robust patella motion tracking using intensity-based 2D-3D registration on dynamic bi-plane fluoroscopy: towards quantitative assessment in MPFL reconstruction surgery;MIND demons for MR-to-CT deformable image registration in image-guided spine surgery;accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry;automatic geometric rectification for patient registration in image-guided spinal surgery;clinical workflow for spinal curvature measurement with portable ultrasound;classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study;ultrasound to video registration using a bi-plane transrectal probe with photoacoustic markers;and deformable registration of x-ray to MRI for post-implant dosimetry in prostate brachytherapy.

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Planning image-guided endovascular interventions:: Guidewire simulation using shortest path algorithms

Planning image-guided endovascular interventions:: Guidewire...

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Medical Imaging 2007 conference

作者： Schafer, Sebastian Singh, Vikas Hoffmann, Kenneth R. Noel, Peter B. Xu, Jinhui SUNY Buffalo Dept Mech & Aerosp Engn Buffalo NY 14260 USA SUNY Buffalo Toshiba Stroke Res Ctr Dept Neurosurg Buffalo NY 14260 USA SUNY Buffalo Dept Comp Sci & Engn Buffalo NY 14260 USA

ISBN: (纸本)9780819466273

Endovascular interventional procedures are being used more frequently in cardiovascular surgery. Unfortunately, procedural failure, e.g., vessel dissection, may occur and is often related to improper guidewire and/or device selection. To support the surgeon's decision process and because of the importance of the guidewire in positioning devices, we propose a method to determine the guidewire path prior to insertion using a model of its elastic potential energy coupled with a representative graph construction. The 3D vessel centerline and sizes are determined for a specified vessel. Points in planes perpendicular to the vessel centerline are generated. For each pair of consecutive planes, a vector set is generated which joins all points in these planes. We construct a graph representing these vector sets as nodes. The nodes representing adjacent vector sets are joined by edges with weights calculated as a function of the angle between the corresponding vectors (nodes). The optimal path through this weighted directed graph is then determined using shortest path algorithms, such as topological sort based shortest path algorithm or Dijkstra's algorithm. Volumetric data of an internal carotid artery phantom (0 3.5mm) were acquired. Several independent guidewire (circle divide 0.4mm) placements were performed, and the 3D paths were determined using rotational angiography. The average RMS distance between the actual and the average simulated guidewire path was 0.7mm;the computation time to determine the path was 3 seconds. The ability to predict the guidewire path inside vessels may facilitate calculation of vessel-branch access and force estimation on devices and the vessel wall.

关键词： Computer simulations Angiography Arteries 3D modeling Surgery X-rays Data modeling Data acquisition Instrument modeling Signal attenuation

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Progress in Biomedical Optics and Imaging - Proceedings of spie

Progress in Biomedical Optics and Imaging - Proceedings of S...

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Medical Imaging 2017: image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9781510607156

The proceedings contain 99 papers. The topics discussed include: towards quantitative quasi-static elastography with a gravity-induced deformation source;validation of model-based brain shift correction in neurosurgery via intraoperative magnetic resonance imaging: preliminary results;mapping 3D breast lesions from full-field digital mammograms using subject-specific finite element models;a biomechanical approach for in vivo diaphragm muscle motion prediction during normal respiration;modeling patterns of anatomical deformations in prostate patients undergoing radiation therapy with an endorectal balloon;fundamental limits of image registration performance: effects of image noise and resolution in CT-guided interventions;deformable 3D-2D registration for guiding k-wire placement in pelvic trauma surgery;3D/2D image registration method for joint motion analysis using low-quality images from mini C-arm machines;investigation of 3D histograms of oriented gradients for image-based registration of CT with interventional CBCT;real-time phase recognition in novel needle-based intervention: a multi-operator feasibility study;the introduction of capillary structures in 4D simulated vascular tree for ART 3.5D algorithm further validation;integration of sparse electrophysiological measurements with preoperative MRI using 3D surface estimation in deep brain stimulation surgery;toward dynamic lumbar punctures guidance based on single element synthetic tracked aperture ultrasound imaging;a cochlear implant phantom for evaluating CT acquisition parameters;and selecting electrode configurations for image-guided cochlear implant programming using template matching.

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Finite element modeling of tissue retraction and resection for preoperative neuroimage compensation concurrent with surgery

Finite element modeling of tissue retraction and resection f...

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Medical Imaging 2001 conference

作者： Paulsen, KD Miga, MI Roberts, DW Kennedy, FE Platenik, LA Lunn, KE Hartov, A Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA

ISBN: (纸本)0819440051

Compensation for intraoperative tissue motion in the registration of preoperative image volumes with the OR is important for improving the utility of image guidance in the neurosurgery setting. Model-based strategies for neuroimage compensation are appealing because they offer the prospect of retaining the high-resolution preoperative information without the expense and complexity associated with full volume intraoperative scanning. Further, they present opportunities to integrate incomplete or sparse, partial volume sampling of the surgical field as a guide for full volume estimation and subsequent compensation of the preoperative images. While potentially promising, there are a number of unresolved difficulties associated with deploying computational models for this purpose. For example, to date they have only been successful in representing the tissue motion that occurs during the earliest stages of neurosurgical intervention and have not addressed the later more complex events of tissue retraction and resection. In this paper, we develop a mathematical framework for implementing retraction and resection within the context of finite element modeling of brain deformation using the equations of linear consolidation. Specifically, we discuss the critical boundary conditions applied at the new tissue surfaces created by these respective interventions and demonstrate the ability to model compound events where updated image volumes are generated in succession to represent the significant occurrences of tissue deformation which take place during the course of surgery. In this regard, we show image compensation for an actual OR case involving the implantation of a subdural electrode array for recording neural activity.

关键词： image guidance model updating intraoperative image compensation brain deformation retraction and resection modeling

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Epicardial ablation guidance using coronary arterial models and live fluoroscopic overlay registrations

Epicardial ablation guidance using coronary arterial models ...

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Medical Imaging 2008 conference

作者： Manzke, R. Thiagalingam, A. Movassaghi, B. d'Avila, A. Reddy, V. Y. Chan, R. C. Philips Res N Amer Clin Sites Res Briarcliff Manor NY USA Massachusetts Gen Hosp Expt Electrophysiol Lab Boston MA 02114 USA Philips Med Syst Bothell WA USA

ISBN: (纸本)9780819471024

Knowledge of patient-specific cardiac anatomy is required for catheter-based ablation in epicardial ablation procedures such as ventricular tachycardia (VT) ablation interventions. In particular, knowledge of critical structures such as the coronary arteries is essential to avoid collateral damage. In such ablation procedures, ablation catheters are brought in via minimally-invasive subxiphoid access. The catheter is then steered to ablation target sites on the left ventricle (LV). During the ablation and catheter navigation it is of vital importance to avoid damage of coronary structures. Contrast-enhanced rotational X-ray angiography of the coronary-arteries delivers a 3D impression of the anatomy during the time of intervention. Vessel modeling techniques have been shown to be able to deliver accurate 3D anatomical models of the coronary arteries. To simplify epicardial navigation and ablation, we propose to overlay coronary arterial models, derived from rotational X-ray angiography and vessel modeling, onto real-time X-ray fluoroscopy. In a preclinical animal study, we show that overlay of intra-operatively acquired 3D arterial models onto X-ray helps to place ablation lesions at a safe distance from coronary structures. Example ablation lesions have been placed based on the model overlay at reasonable distances between key arterial vessels and on top of marginal branches.

关键词： 3D modeling Arteries Animal model studies X-rays Angiography Motion models Fluoroscopy Visualization 3D acquisition Sensors

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Computational modeling Towards Focused Ultrasound Therapy for Spinal Cord Injury: Visualization of Beam Propagation through Patient-Specific Anatomy

Computational Modeling Towards Focused Ultrasound Therapy fo...

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Medical Imaging 2023: image-guided procedures, robotic interventions, and modeling

作者： Kumar, Avisha Tsehay, Yohannes Gonzalez, Eduardo Kerensky, Max J. Lediju Bell, Muyinatu A. Theodore, Nicholas Thakor, Nitish V. Manbachi, Amir Dept. of Electrical and Computer Engineering Johns Hopkins University BaltimoreMD21218 United States Johns Hopkins HEPIUS Innovation Laboratory BaltimoreMD21218 United States Dept. of Neurosurgery School of Medicine Johns Hopkins University BaltimoreMD21218 United States Dept. of Biomedical Engineering School of Medicine Johns Hopkins University BaltimoreMD21218 United States Dept. of Computer Science Johns Hopkins University BaltimoreMD21218 United States Dept. of Mechanical Engineering Johns Hopkins University BaltimoreMD21218 United States Dept. of Anesthesiology and Critical Care Johns Hopkins University School of Medicine Johns Hopkins University BaltimoreMD21218 United States

ISBN: (纸本)9781510660373

Ultrasound holds promise for use in spinal cord injury cases for both diagnostic and therapeutic purposes. Focused ultrasound applications demand an added threshold of study to ensure the safety and efficacy of the therapy. For optimal treatment outcomes, it is crucial to understand whether relevant structures are being targeting with sufficient energy without damaging neighboring tissue and vasculature. However, it is difficult to predict the expected displacement and pressure profile of the ultrasound wavefront due to challenges with visualizing an acoustic beam in real-time and complex patient-specific anatomy. This challenge is particularly prominent in anatomies with varying medium acoustic properties that cause reflection and distortion of the signal, which is inherent to the composition of the spinal cord and is exacerbated by the formations of injury-induced hematomas. Incorrect placement of focused ultrasound transducers can be detrimental to patient health, specifically if therapeutic ultrasound is used at higher intensities, as the beam propagation can target healthy tissue and important structures that could lead to tissue damage and death. We study how computational tools can be leveraged to aid placement of the transducer using an ultrasound simulation software, Wave 3000 Plus, that allows for the visualization of ultrasound propagation through anatomical structures. By simulating the propagation of ultrasound beams through patient-specific Digital Imaging and Communications in Medicine (DICOM) images, we study computational approaches to determine the optimal placement of devices. In this study, we use in vivo porcine spinal cord images following spinal cord injury (as an example medical use case) to determine if the injury site is being targeted appropriately and to visualize the distribution of pressure throughout the simulation. We demonstrate that Wave 3000 Plus is a viable approach for visualizing ultrasound propagation through patient-specific a

关键词： Visualization

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A surface misfit inversion method for brain deformation modeling

A surface misfit inversion method for brain deformation mode...

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Medical Imaging 2007 conference

作者： Liu, Fenghong Paulsen, Keith D. Hartov, Alexander Roberts, David W. Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA Dartmouth Hitchcock Med Ctr Dept Neurosurg Lebanon NH 03756 USA Norris Cotton Canc Ctr Lebanon NH 03756 USA

ISBN: (纸本)9780819466273

Biomechanical models of brain deformation are useful tools for estimating the shift that occurs during neurosurgical interventions. Incorporation of intra-operative data into the biomechanical model improves the accuracy of the registration between the patient and the image volume. The representer method to solve the adjoint equations (AEM) for data assimilation has been developed. In order to improve the computational efficiency and to process more intraoperative data, we modified the adjoint equation method by changing the way in which intraoperative data is applied. The current formulation is developed around a point-based data-model misfit. Surface based data-model misfit could be a more robust and computationally efficient technique. Our approach is to express the surface misfit as the volume between the measured surface and model predicted surface. An iterative method is used to solve the adjoint equations. The surface misfit criterion is tested in a cortical distension clinical case and compared to the results generated with the prior point-based methodology solved either iteratively or with the representer algorithm. The results show that solving the adjoint equations with an iterative method improves computational efficiency dramatically over the representer approach and that reformulating the minimization criterion in terms of a surface description is even more efficient. Applying intra-operative data in the form of a surface misfit is computationally very efficient and appears promising with respect to its accuracy in estimating brain deformation.

关键词： brain deformation estimation finite element modeling image-guided surgery clinical case surface misfit

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Progress in Biomedical Optics and Imaging - Proceedings of spie

Progress in Biomedical Optics and Imaging - Proceedings of S...

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Medical Imaging 2018: image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9781510616417

The proceedings contain 96 papers. The topics discussed include: automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks;generative adversarial networks for specular highlight removal in endoscopic images;tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks;cine cardiac MRI slice misalignment correction towards full 3D left ventricle segmentation;toward image-guided partial nephrectomy with the da Vinci robot: exploring surface acquisition methods for intraoperative re-registration;clustered iterative sub-atlas registration for improved deformable registration using statistical shape models;technical note: nonrigid registration for laparoscopic liver surgery using sparse intraoperative data;influence of 4D CT motion artifacts on correspondence model-based 4D dose accumulation;deformable registration of radiation isodose lines to delayed contrast-enhanced magnetic resonance images for assessment of myocardial lesion formation following proton beam therapy;automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network;design and validation of an open-source library of dynamic reference frames for research and education in optical tracking;a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma;and 3d ultrasound guidance system for permanent breast seed implantation: integrated system performance and phantom procedure.

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Progress in Biomedical Optics and Imaging - Proceedings of spie: Introduction

Proceedings of SPIE - The International Society for Optical ...

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Proceedings of spie - The International Society for Optical Engineering 2013年 8671卷 xix-xx页

作者： Holmes III, David R. Yaniv, Ziv R.

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Rapid prototype modeling in a multimodality world

Rapid prototype modeling in a multimodality world

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Medical Imaging 2006 conference

作者： Bidaut, Luc Madewell, John Yasko, Alan Univ Texas MD Anderson Canc Ctr Image Proc & Visualizat Lab Dept Imaging Phys Unit 1352 1515 Holcombe Blvd Houston TX 77230 USA Univ Texas MD Anderson Canc Ctr Diagnost Radiol Unit 1352 Houston TX 77230 USA Univ Texas MD Anderson Canc Ctr Orthopaed Surg Unit 1352 Houston TX 77230 USA

ISBN: (纸本)0819461849

Introduction: Rapid prototype modeling (RPM) has been used in medicine principally for bones - that are easily extracted from CT data sets - for planning orthopaedic, plastic or maxillo-facial interventions, and/or for designing custom prostheses and implants. Based on newly available technology, highly valuable multimodality approaches can now be applied to RPM, particularly for complex musculo-skeletal (MSK) tumors where multimodality often transcends CT alone. Methods: CT data sets are acquired for primary evaluation of MSK tumors in parallel with other modalities (e.g., MR, PET, SPECT). In our approach, CT is first segmented to provide bony anatomy for RPM and all other data sets are then registered to the CT reference. Parametric information relevant to the tumor's characterization is then extracted from the multimodality space and merged with the CT anatomy to produce a hybrid RPM-ready model. This model - that also accommodates digital multimodality visualization - is then produced on the latest generation of 3D printers, which permits both shapes and colors. Results: Multimodality models of complex MSK tumors have been physically produced on modem RPM equipment. This new approach has been found to be a clear improvement over the previously disconnected physical RPM and digital multimodality visualization. Conclusions: New technical developments keep opening doors to sophisticated medical applications that can directly impact the quality of patient care. Although this early work still deals with bones as base models for RPM, its use to encompass soft tissues is already envisioned for future approaches.

关键词： multimodality rapid prototyping surgery planning visualization rendering CAM

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