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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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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 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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Geometric modeling of the Aortic Inner and Outer Vessel Wall from CTA for Aortic Dissection Analysis

Geometric Modeling of the Aortic Inner and Outer Vessel Wall...

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

作者： Eigen, Katharina Weis, Michael Dohle, Daniel-Sebastian Suehling, Michael Maier, Andreas Friedrich Alexander Univ Erlangen Nuremberg Erlangen Germany Siemens Healthcare GmbH Forchheim Germany Univ Med Ctr Mainz Germany

ISBN: (数字)9781510616424

ISBN: (纸本)9781510616424

In this paper, we present a novel method for modeling both layers of the aortic walls in cases of aortic dissections for analysis from Computed Tomography Angiography. It involves a fast initialization of the associated physiological and pathological lumina and further editing on non-linearly formatted and cross-sectional views. Fast and accurate derivation of 3D models of these inner and outer vessel walls is crucial to analyze true and false lumen, to accelerate processing times in research studies, and to answer therapy questions. Since the aorta is a relatively large vessel, our system makes use of a point-based surface interpolation with compactly supported radial basis functions requiring only few surface constraints. Where possible, we use a semi-automatic approach to segment the vessel walls using an Active Contour Model, which detects the contours in the vessel's cross-sectional planes, stating the constraints for interpolation. After initialization, editing on non-linearly formatted and cross-sectional views is possible due to handling user input through tangent frame bundles to dismiss contradictory surface samples before updating the models with the new constraints. Our proposed method was evaluated in a user study to measure processing times and achievable model accuracy with respect to an expert-defined ground truth. The users needed 19 minutes on average to derive one model (both walls) and attained a mean surface distance of about 1.0 mm for the outer vessel wall, respectively, 1.6 mm for the inner wall. Using our method instead of open source program for geometric modeling saves 26 minutes per dataset.

关键词： Aortic Dissection Active Contour Model Tangent Frame Bundles

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Model-based correction for brain shift in deep brain stimulation burr hole procedures: a comparison using interventional magnetic resonance imaging

Model-based correction for brain shift in deep brain stimula...

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

作者： Luo, Ma Narasimhan, Saramati Martin, Alastair J. Larson, Paul S. Miga, Michael I. Vanderbilt Univ Dept Biomed Engn Nashville TN 37235 USA Univ Calif San Francisco Dept Radiol & Biomed Imaging San Francisco CA 94143 USA Univ Calif San Francisco Dept Neurol San Francisco CA USA Vanderbilt Univ Med Ctr Dept Neurol Surg Nashville TN USA Vanderbilt Univ Med Ctr Dept Radiol Nashville TN 37232 USA Vanderbilt Univ Vanderbilt Inst Surg & Engn 221 Kirkland Hall Nashville TN 37235 USA

ISBN: (数字)9781510616424

ISBN: (纸本)9781510616424

Deep brain stimulation (DBS) is an effective treatment for movement disorders, e.g. Parkinson's disease. The quality of DBS treatment is dependent on the implantation accuracy of DBS electrode leads into target structures. However, brain shift during burr hole procedures has been documented and hypothesized to negatively impact treatment quality. Several approaches have been proposed to compensate for brain shift in DBS, namely microelectrode recording (MER) and interventional magnetic resonance (iMR) imaging. Though both demonstrate benefits in guiding accurate electrode placement, they suffer drawbacks such as prolonged procedures and in the latter, cost considerations. Hence, we are exploring a model-based brain shift compensation strategy in DBS to improve targeting accuracy for surgical navigation. Our method is a deformation-atlas-based approach, i.e. potential intraoperative deformations are pre-computed via biomechanical model under varying conditions, combined with an inverse problem driven by sparse intraoperative data for estimating volumetric brain deformations. In this preliminary feasibility study, we examine our model's ability to predict brain shift in DBS by comparing with iMR in one patient. The evaluation includes: (1) a subsurface deformation comparison where subsurface shifts measured by iMR are compared to model-predicted counterparts;(2) a second comparison at surgical targets where the atlas-method is compared to deformations measured by non-rigid image-to-image registration using preoperative image and iMR. For the former, the model reduces alignment error from 8.6 +/- 1.4 to 3.6 +/- 0.8 mm, representing similar to 58.6% correction. For the latter, model estimated brain shifts at surgical targets are 2.4 and 0.6 mm, consistent with clinical observations.

关键词： Brain shift deep brain stimulation neurosurgery finite element computational modeling

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A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics

A semiautomatic algorithm for three-dimensional segmentation...

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

作者： Shahedi, Maysam Ma, Ling Halicek, Martin Guo, Rongrong Zhang, Guoyi Schuster, David M. Nieh, Peter Master, Viraj Fei, Baowei Emory Univ Dept Radiol & Imaging Sci Atlanta GA 30322 USA Georgia Inst Technol Wallace H Coulter Dept Biomed Engn Atlanta GA 30332 USA Emory Univ Atlanta GA 30322 USA Emory Univ Dept Urol Atlanta GA 30322 USA Emory Univ Winship Canc Inst Atlanta GA 30322 USA

ISBN: (数字)9781510616424

ISBN: (纸本)9781510616424

Prostate segmentation in computed tomography (CT) images is useful for planning and guidance of the diagnostic and therapeutic procedures. However, the low soft-tissue contrast of CT images makes the manual prostate segmentation a time-consuming task with high inter-observer variation. We developed a semi-automatic, three-dimensional (3D) prostate segmentation algorithm using shape and texture analysis and have evaluated the method against manual reference segmentations. In a training data set we defined an inter-subject correspondence between surface points in the spherical coordinate system. We applied this correspondence to model the globular and smoothly curved shape of the prostate with 86, well-distributed surface points using a point distribution model that captures prostate shape variation. We also studied the local texture difference between prostate and non-prostate tissues close to the prostate surface. For segmentation, we used the learned shape and texture characteristics of the prostate in CT images and we used a set of user inputs for prostate localization. We trained our algorithm using 23 CT images and tested it on 10 images. We evaluated the results compared with those of two experts' manual reference segmentations using different error metrics. The average measured Dice similarity coefficient (DSC) and mean absolute distance (MAD) were 88 +/- 2% and 1.9 +/- 0.5 mm, respectively. The averaged inter-expert difference measured on the same dataset was 91 +/- 4% (DSC) and 1.3 +/- 0.6 mm (MAD). With no prior intra-patient information, the proposed algorithm showed a fast, robust and accurate performance for 3D CT segmentation.

关键词： image segmentation Prostate Computed tomography image processing algorithms and systems 3D image processing 3D modeling Algorithm development Cancer Shape analysis

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Automatic Definition of Surgical Trajectories and Acceptance Window in Pelvic Trauma Surgery Using Deformable Registration

Automatic Definition of Surgical Trajectories and Acceptance...

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

作者： Han, R. Ramsay, B. De Silva, T. Goerres, J. Uneri, A. Ketcha, M. Jacobson, M. Sheth, N. Vogt, S. Kleinszig, G. Osgood, G. Siewerdsen, J. H. Johns Hopkins Univ Dept Biomed Engn Baltimore MD 21218 USA Siemens Healthineers Erlangen Germany Johns Hopkins Univ Hosp Dept Orthopaed Surg Baltimore MD 21287 USA

ISBN: (数字)9781510616424

ISBN: (纸本)9781510616424

Purpose: Pelvic screw insertion for percutaneous fixation is a challenging surgical procedure that requires interpretation of complex 3D anatomy from 2D fluoroscopic images. Extensive surgical training is needed and trial and error often occurs in device placement, causing extended fluoroscopy time and increased radiation dose. A system is reported for automatic definition of acceptable surgical trajectories to facilitate guidance and quality assurance in a manner consistent with surgical workflow. Methods: An atlas was constructed with segmented pelvis shapes containing standard reference trajectories for screw placement. A statistical shape model computed from the atlas is used for deformable registration to the patient's preoperative CT (without segmentation). By transferring the reference trajectories and surrounding acceptance windows (i.e., volumetric corridors of acceptable device placement) from the atlas, the system automatically computes reliable K-wire and screw trajectories for guidance (overlay in fluoroscopy) and QA. Results: A leave-one-out analysis was performed to evaluate the accuracy or registration and overlay. The registration achieved average surface registration accuracy of 1.82 +/- 0.39 mm. Automatically determined trajectories conformed within acceptable cortical bone margins, maintaining 3.75 +/- 0.68 mm distance from cortex in narrow bone corridors and demonstrating accurate registration and surgical trajectory definition without breaching cortex. Conclusions: The framework proposed in this work allows for multi-atlas based automatic planning of surgical trajectory without tracker or manual segmentation. The planning information can be further used to facilitate intraoperative guidance and post-operatively quality assurance in a manner consistent with surgical workflow.

关键词： image registration image segmentation Bone Surgery Computed tomography Binary data Fluoroscopy Error analysis Principal component analysis Statistical modeling

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Real-time workflow detection using webcam video for providing real-time feedback in central venous catheterization training

Real-time workflow detection using webcam video for providin...

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

作者： Hisey, Rebecca Ungi, Tamas Holden, Matthew Baum, Zachary Keri, Zsuzsanna McCallum, Caitlin Howes, Daniel W. Fichtinger, Gabor Queens Univ Sch Comp Lab Percutaneous Surg Kingston ON Canada Kingston Gen Hosp Dept Crit Care Med Kingston ON Canada

ISBN: (数字)9781510616424

ISBN: (纸本)9781510616424

Purpose: Medical schools are shifting from a time-based approach to a competency-based education approach. A competency-based approach requires continuous observation and evaluation of trainees. The goal of Central Line Tutor is to be able to provide instruction and real-time feedback for trainees learning the procedure of central venous catheterization, without requiring a continuous expert observer. The purpose of this study is to test the accuracy of the workflow detection method of Central Line Tutor. This study also looks at the effectiveness of object recognition from a webcam video for workflow detection. Methods: Five trials of the procedure were recorded from Central Line Tutor. Five reviewers were asked to identify the timestamp of the transition points in each recording. Reviewer timestamps were compared to those identified by Central Line Tutor. Differences between these values were used to calculate average transitional delay. Results: Central Line Tutor was able to identify 100% of transition points in the procedure with an average transitional delay of -1.46 +/- 0.81s. The average transitional delay of EM and webcam tracked steps were -0.35 +/- 2.51s and -2.46 +/- 3.57s respectively. Conclusions: Central line tutor was able to detect completion of all workflow tasks with minimal delay and may be used to provide trainees with real-time feedback. The results also show that object recognition from a webcam video is an effective method for detecting workflow tasks in the procedure of central venous catheterization.

关键词： Video Ultrasonography Object recognition RGB color model 3D modeling 3D displays 3D image processing Human-machine interfaces Sensors Visualization

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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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Use of patient specific 3D printed (3DP) neurovascular phantoms for mechanical assessment of devices used in image guided minimally invasive procedures

Use of patient specific 3D printed (3DP) neurovascular phant...

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conference on Medical Imaging - Imaging Informatics for Healthcare, Research, and Applications

作者： Tabaczynski, Janelle R. Stoll, Thomas Shepard, Lauren Siddiqui, Mohamed I. G. Karkhanis, Nitant V. Sommer, Kelsey Siddiqui, Adnan H. Ionita, Ciprian N. SUNY Buffalo Dept Biomed Engn Buffalo NY 14228 USA SUNY Buffalo Toshiba Canon Stroke & Vasc Res Ctr Buffalo NY 14208 USA SUNY Buffalo Jacobs Sch Med Neurosurg Buffalo NY 14208 USA

ISBN: (数字)9781510616486

ISBN: (纸本)9781510616486

Purpose: Patient-specific 3D printed phantoms (3DP) can reproduce accurate patient geometry and provide precise tools for Endovascular image guided interventions (EIGI) simulations. We propose to build and test 3DP phantoms which mimic the arterial wall elasticity and surface properties and demonstrate their utility in comprehensive EIGI simulations. Materials and Methods: 3DP idealized and patient specific vascular phantoms were manufactured using Stratasys Objet 500 Connex 3. The idealized phantoms were created using a sine wave shape, patient specific phantoms were based on CT-angiography volumes. The phantoms were coated with a hydrophilic material to mimic vascular surface properties. We tested various endovascular procedures using an Interventional Device Testing Equipment (IDTE) 2000 and measured push/pull force used to actuate endovascular devices during EIGIs. Results: The force needed to advance devices in neurovascular phantoms varied based on tortuosity, material and coating, ranging from -3 to 21 grams-force. Hydrophilic coating reduced maximum force from 21 to 4.8 grams-force in the same model. IDTE 2000 results of neurovascular models were compared to hand manipulation of guidewire access using a six-axis force sensor with forces ranging from -50 to 440 grams. The clot retriever tested in carotid models experienced most friction around tortuous bends ranging from -65 to -90 grams-force, with increasing rigidity of materials creating increased friction. Sine wave model forces varied from -2 to 105 grams. Conclusions: 3DP allows manufacturing of vascular phantoms with precise mechanical and surface properties which can be used for EIGI simulations for imaging protocol optimization and device behavior assessment.

关键词： 3D modeling Instrument modeling Fluoroscopy Manufacturing Sensors 3D printing Coating image segmentation 3D image processing X-rays

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Initial investigations of a special high-definition (Hi-Def) zoom capability in a new detector system for neuro-interventional procedures

Initial investigations of a special high-definition (Hi-Def)...

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conference on Medical Imaging - Physics of Medical Imaging

作者： Nagesh, S. V. Setlur Shankar, A. Krebs, J. Hinaman, J. Bednarek, D. R. Rudin, S. SUNY Buffalo Toshiba Stroke & Vasc Res Ctr Buffalo NY 14260 USA

ISBN: (数字)9781510616363

ISBN: (纸本)9781510616363

Real-time visualization of fine details ranging to 100 um or less in neuro-vascular imaging guided interventions is important. A separate high-resolution detector mounted on a standard flat panel detector (FPD) was previously reported. This device had to be rotated mechanically into position over the FPD for high resolution imaging. Now, the new detector reported here has a high definition (Hi-Def) zoom capability along with the FPD built into one unified housing. The new detector enables rapid switching, by the operator between Hi-Def and FPD modes. Standard physical metrics comparing the new Hi-Def modes with those of the FPD are reported, demonstrating improved imaging resolution and noise capability at patient doses similar to those used for the FPD. Semi-quantitative subjective studies involving qualitative clinician feedback on images of interventional devices such as a Pipeline Embolization Device (PED) acquired in both Hi-Def and FPD modes are presented. The PED is deployed in a patient specific 3D printed neuro-vascular phantom embedded inside realistic bone and with tissue attenuating material. Field-of-view (FOV), exposure and magnification were kept constant for FPD and Hi-Def modes. Static image comparisons of the same view of the PED within the phantom were rated by expert interventionalists who chose from the following ratings: Similar, Better, or Superior. Generally, the Hi-Def zoomed images were much preferred over the FPD, indicating the potential to improve endovascular procedures and hence outcomes using such a Hi-Def feature.

关键词： Sensors image resolution Skull 3D modeling Modulation transfer functions Tissues Visualization Zoom lenses Signal attenuation X-rays

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