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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111-120 订阅

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4DCBCT-based motion modeling and 3D fluoroscopic image generation for lung cancer radiotherapy

4DCBCT-based motion modeling and 3D fluoroscopic image gener...

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

作者： Dhou, Salam Hurwitz, Martina Mishra, Pankaj Berbeco, Ross Lewis, John Brigham & Womens Hosp Dana Farber Canc Inst Boston MA 02115 USA Harvard Univ Sch Med Boston MA USA Varian Med Syst Palo Alto CA USA

ISBN: (纸本)9781628415056

A method is developed to build patient-specific motion models based on 4DCBCT images taken at treatment time and use them to generate 3D time-varying images (referred to as 3D fluoroscopic images). Motion models are built by applying Principal Component Analysis (PCA) on the displacement vector fields (DVFs) estimated by performing deformable image registration on each phase of 4DCBCT relative to a reference phase. The resulting PCA coefficients are optimized iteratively by comparing 2D projections captured at treatment time with projections estimated using the motion model. The optimized coefficients are used to generate 3D fluoroscopic images. The method is evaluated using anthropomorphic physical and digital phantoms reproducing real patient trajectories. For physical phantom datasets, the average tumor localization error (TLE) and (95th percentile) in two datasets were 0.95 (2.2) mm. For digital phantoms assuming superior image quality of 4DCT and no anatomic or positioning disparities between 4DCT and treatment time, the average TLE and the image intensity error (TIE) in six datasets were smaller using 4DCT-based motion models. When simulating positioning disparities and tumor baseline shifts at treatment time compared to planning 4DCT, the average TLE (95th percentile) and TIE were 4.2 (5.4) mm and 0.15 using 4DCT-based models, while they were 1.2 (2.2) mm and 0.10 using 4DCBCT-based ones, respectively. 4DCBCT-based models were shown to perform better when there are positioning and tumor baseline shift uncertainties at treatment time. Thus, generating 3D fluoroscopic images based on 4DCBCT-based motion models can capture both inter- and intra- fraction anatomical changes during treatment.

关键词： Motion models 3D modeling Tumors 3D image processing image analysis Motion estimation Principal component analysis Error analysis Lawrencium Radiotherapy

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Data Fusion for Planning Target Volume and Isodose Prediction in Prostate Brachytherapy

Data Fusion for Planning Target Volume and Isodose Predictio...

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

作者： Nouranian, Saman Ramezani, Mahdi Mahdavi, S. Sara Spadinger, Ingrid Morris, William J. Salcudean, Septimiu E. Abolmaesumi, Purang Univ British Columbia Dept Elect & Comp Engn Vancouver BC V5Z 1M9 Canada British Columbia Canc Agcy Vancouver Canc Ctr Vancouver BC V5Z 4E6 Canada

ISBN: (纸本)9781628415056

In low-dose prostate brachytherapy treatment, a large number of radioactive seeds is implanted in and adjacent to the prostate gland. Planning of this treatment involves the determination of a Planning Target Volume (PTV), followed by defining the optimal number of seeds, needles and their coordinates for implantation. The two major planning tasks, i.e. PTV determination and seed definition, are associated with inter- and intra-expert variability. Moreover, since these two steps are performed in sequence, the variability is accumulated in the overall treatment plan. In this paper, we introduce a model based on a data fusion technique that enables joint determination of PTV and the minimum Prescribed Isodose (mPD) map. The model captures the correlation between different information modalities consisting of transrectal ultrasound (TRUS) volumes, PTV and isodose contours. We take advantage of joint Independent Component Analysis (jICA) as a linear decomposition technique to obtain a set of joint components that optimally describe such correlation. We perform a component stability analysis to generate a model with stable parameters that predicts the PTV and isodose contours solely based on a new patient TRUS volume. We propose a framework for both modeling and prediction processes and evaluate it on a dataset of 60 brachytherapy treatment records. We show PTV prediction error of 10.02 +/- 4.5% and the V100 isodose overlap of 97 +/- 3.55% with respect to the clinical gold standard.

关键词： Prostate Data modeling Independent component analysis Process modeling Binary data Error analysis Data fusion Gold Cancer Reconstruction algorithms

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Targeting of Deep-brain Structures in Nonhuman Primates using MR and CT images

Targeting of Deep-brain Structures in Nonhuman Primates usin...

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

作者： Chen, Antong Hines, Catherine Dogdas, Belma Bone, Ashleigh Lodge, Kenneth O'Malley, Stacey Connolly, Brett Winkelmann, Christopher T. Bagchi, Ansuman Lubbers, Laura S. Uslaner, Jason M. Johnson, Colena Renger, John Zariwala, Hatim A. Merck Res Labs Informat IT Appl Math & Modeling West Point PA 19486 USA Merck Res Labs Imaging West Point PA 19486 USA Merck Res Labs Appl Math & Modeling Informat IT Rahway NJ 07065 USA Merck Res Labs Safety Assessment & Lab Anim Resources West Point PA 19486 USA Merck Res Labs Pharmacol West Point PA 19486 USA

ISBN: (纸本)9781628415056

In vivo gene delivery in central nervous systems of nonhuman primates (NHP) is an important approach for gene therapy and animal model development of human disease. To achieve a more accurate delivery of genetic probes, precise stereotactic targeting of brain structures is required. However, even with assistance from multi-modality 3D imaging techniques (e.g. MR and CT), the precision of targeting is often challenging due to difficulties in identification of deep brain structures, e.g. the striatum which consists of multiple substructures, and the nucleus basalis of meynert (NBM), which often lack clear boundaries to supporting anatomical landmarks Here we demonstrate a 3D-image-based intracranial stereotactic approach applied toward reproducible intracranial targeting of bilateral NBM and striatum of rhesus. For the targeting we discuss the feasibility of an atlas-based automatic approach. Delineated originally on a high resolution 3D histology-MR atlas set, the NBM and the striatum could be located on the MR image of a rhesus subject through affine and nonrigid registrations. The atlas-based targeting of NBM was compared with the targeting conducted manually by an experienced neuroscientist. Based on the targeting, the trajectories and entry points for delivering the genetic probes to the targets could be established on the CT images of the subject after rigid registration. The accuracy of the targeting was assessed quantitatively by comparison between NBM locations obtained automatically and manually, and finally demonstrated qualitatively via post mortem analysis of slices that had been labelled via Evan Blue infusion and immunohistochemistry.

关键词： stereotactic surgery histology-MR atlas nonrigid registration CT none-human primate

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Design and modeling of a Parallel Robot for Ultrasound guided Percutaneous Needle interventions 41

Design and Modeling of a Parallel Robot for Ultrasound Guide...

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41st Annual conference of the IEEE-Industrial-Electronics-Society (IECON)

作者： Orhan, Sabri Orcun Yildirim, Mehmet Can Bebek, Ozkan Ozyegin Univ Mech Engn Istanbul Turkey

ISBN: (纸本)9781479917624

Necessity of precise positioning in percutaneous needle operations enables robotic systems to take part in medical procedures. Researches that have been done until today showed robotic systems increase the accuracy of medical interventions. This paper presents the design and modeling of a 5DOF parallel robot that will be used in Ultrasound image guided percutaneous needle interventions. In order to design the robot, workspace and torque analysis were conducted. System identification was performed on robot to understand the system dynamics. System calibration was performed with optical tracking system to increase the accuracy of the system. Gravity compensation and friction modeling were conducted on the robot. Using gravity compensation and friction models, a torque computed controller was implemented to system.

关键词： Needles

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3D-printed surface mould applicator for high-dose-rate brachytherapy

3D-printed surface mould applicator for high-dose-rate brach...

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

作者： Schumacher, Mark Lasso, Andras Cumming, Ian Rankin, Adam Falkson, Conrad B. Schreiner, L. John Joshi, Chandra Fichtinger, Gabor Queens Univ Sch Comp Lab Percutaneous Surg Kingston ON K7L 3N6 Canada Queens Univ KGH Canc Program Dept Med Phys Kingston ON Canada Queens Univ Dept Oncol Kingston ON Canada Queens Univ Div Radiat Oncol Kingston ON Canada Kingston Gen Hosp Kingston ON K7L 2V7 Canada

ISBN: (纸本)9781628415056

PURPOSE: In contemporary high-dose-rate brachytherapy treatment of superficial tumors, catheters are placed in a wax mould. The creation of current wax models is a difficult and time consuming *** irradiation plan can only be computed post-construction and requires a second CT scan. In case no satisfactory dose plan can be created, the mould is discarded and the process is repeated. The objective of this work was to develop an automated method to replace suboptimal wax moulding. METHODS: We developed a method to design and manufacture moulds that guarantee to yield satisfactory dosimetry. A 3D-printed mould with channels for the catheters designed from the patient's CT and mounted on a patient-specific thermoplastic mesh mask. The mould planner was implemented as an open-source module in the 3D Slicer platform. RESULTS: Series of test moulds were created to accommodate standard brachytherapy catheters of 1.70mm diameter. A calibration object was used to conclude that tunnels with a diameter of 2.25mm, minimum 12mm radius of curvature, and 1.0mm open channel gave the best fit for this printer/catheter combination. Moulds were created from the CT scan of thermoplastic mesh masks of actual patients. The patient-specific moulds have been visually verified to fit on the thermoplastic meshes. CONCLUSION: The masks were visually shown to fit onto the thermoplastic meshes, next the resulting dosimetry will have to be compared with treatment plans and dosimetry achieved with conventional wax moulds in order to validate our 3D printed moulds.

关键词： Computed tomography 3D modeling Calibration 3D printing Process modeling Visualization Natural surfaces Skin Manufacturing Cancer

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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 2015: image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9781628415056

The proceedings contain 91 papers. The topics discussed include: rendering-based Video-CT registration with physical constraints for image-guided endoscopic sinus surgery;image-based tracking of the suturing needle during laparoscopic interventions;toward real-time endoscopically-guided robotic navigation based on a 3D virtual surgical field model;electrical impedance map (EIM) for margin assessment during robot-assisted laparoscopic prostatectomy (RALP) using a microendoscopic probe;thalamic nuclei segmentation in clinical 3T T1-weighted images using high-resolution 7T shape models;three-dimensional curvilinear device reconstruction from two fluoroscopic views;localizing and tracking electrodes using stereovision in epilepsy cases;and real-time surgery simulation of intracranial aneurysm clipping with patient-specific geometries and haptic feedback.

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Design and modeling of a Parallel Robot for Ultrasound guided Percutaneous Needle interventions

Design and Modeling of a Parallel Robot for Ultrasound Guide...

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Annual conference of the IEEE Industrial Electronics Society

作者： Sabri Orcun ORHAN Mehmet Can YILDIRIM Ozkan BEBEK Mechanical Engineering Ozyegin University Istanbul Turkey

ISBN: (纸本)9781479917631

关键词： Parallel robots modeling Robot Ultrasonic Waves friction force model NEEDLES precise registration medical procedure Torque System identification Intervention

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Computational modeling and Analysis for Left Ventricle Motion using CT/Echo image fusion

Computational Modeling and Analysis for Left Ventricle Motio...

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

作者： Kim, Ji-Yeon Kang, Nahyup Lee, Hyoung-Euk Kim, James D. K. Samsung Adv Inst Technol Adv Media Lab Yongin 446712 Gyeonggi Do South Korea

ISBN: (纸本)9780819498298

In order to diagnose heart disease such as myocardial infarction, 2D strain through the speckle tracking echocardiography (STE) or the tagged MRI is often used. However out-of-plane strain measurement using STE or tagged MRI is inaccurate. Therefore, strain for whole organ which are analyzed by simulation of 3D cardiac model can be applied in clinical diagnosis. To simulate cardiac contraction in a cycle, cardiac physical properties should be reflected in cardiac model. The myocardial wall in left ventricle is represented as a transversely orthotropic hyperelastic material, with the fiber orientation varying sequentially from the epicardial surface, through about 0 degrees at the midwall, to the endocardial surface. A time-varying elastance model is simulated to contract myocardial fiber, and physiological intraventricular systolic pressure curves are employed for the cardiac dynamics simulation in a cycle. And an exact description of the cardiac motion should be acquired in order that essential boundary conditions for cardiac simulation are obtained effectively. Real time cardiac motion can be acquired by using echocardiography and exact cardiac geometrical 3D model can be reconstructed using 3D CT data. In this research, image fusion technology from CT and echocardiography is employed in order to consider patient-specific left ventricle movement. Finally, longitudinal strain from speckle tracking echocardiography which is known to fit actual left ventricle deformation relatively well is used to verify these results.

关键词： Cardiac left ventricle finite element method echocardiographic image image fusion

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Statistical Analysis of Surrogate Signals to Incorporate Respiratory Motion Variability into Radiotherapy Treatment Planning

Statistical Analysis of Surrogate Signals to Incorporate Res...

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

作者： Wilms, Matthias Ehrhardt, Jan Werner, Rene Marx, Mirko Handels, Heinz Med Univ Lubeck Inst Med Informat D-23538 Lubeck Germany Univ Med Ctr Hamburg Eppendorf Dept Computat Neurosci Hamburg Germany

ISBN: (纸本)9780819498298

Respiratory motion and its variability lead to location uncertainties in radiation therapy (RT) of thoracic and abdominal tumors. Current approaches for motion compensation in RT are usually driven by respiratory surrogate signals, e.g., spirometry. In this contribution, we present an approach for statistical analysis, modeling and subsequent simulation of surrogate signals on a cycle-by-cycle basis. The simulated signals represent typical patient-specific variations of, e.g., breathing amplitude and cycle period. For the underlying statistical analysis, all breathing cycles of an observed signal are consistently parameterized using approximating B-spline curves. Statistics on breathing cycles are then performed by using the parameters of the B-spline approximations. Assuming that these parameters follow a multivariate Gaussian distribution, realistic time-continuous surrogate signals of arbitrary length can be generated and used to simulate the internal motion of tumors and organs based on a patient-specific diffeomorphic correspondence model. As an example, we show how this approach can be employed in RT treatment planning to calculate tumor appearance probabilities and to statistically assess the impact of respiratory motion and its variability on planned dose distributions.

关键词： Statistical analysis Motion models Tumors Monte Carlo methods 4D CT imaging Data modeling Statistical modeling Radiotherapy Spirometry Motion measurement

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Anatomical Parameterization for Volumetric Meshing of the Liver

Anatomical Parameterization for Volumetric Meshing of the Li...

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

作者： Vera, Sergio Gonzalez, Miguel A. Gil, Debora Alma IT Syst Barcelona Spain Univ Autonoma Barcelona Ctr Comp Vis Comp Sci Dept Barcelona Spain ICREA Catalan Inst Res & Adv Studies Barcelona Spain Univ Pompeu Fabra Barcelona Spain

ISBN: (纸本)9780819498298

A coordinate system describing the interior of organs is a powerful tool for a systematic localization of injured tissue. If the same coordinate values are assigned to specific anatomical landmarks, the coordinate system allows integration of data across different medical image modalities. Harmonic mappings have been used to produce parametric coordinate systems over the surface of anatomical shapes, given their flexibility to set values at specific locations through boundary conditions. However, most of the existing implementations in medical imaging restrict to either anatomical surfaces, or the depth coordinate with boundary conditions is given at sites of limited geometric diversity. In this paper we present a method for anatomical volumetric parameterization that extends current harmonic parameterizations to the interior anatomy using information provided by the volume medial surface. We have applied the methodology to define a common reference system for the liver shape and functional anatomy. This reference system sets a solid base for creating anatomical models of the patient's liver, and allows comparing livers from several patients in a common framework of reference.

关键词： C oordinate System Anatomy modeling Parameterization

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