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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131-140 订阅

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Preliminary Results Comparing Thin Plate Splines with Finite Element Methods for modeling Brain Deformation during Neurosurgery using Intraoperative Ultrasound

Preliminary Results Comparing Thin Plate Splines with Finite...

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

作者： Frisken, S. Luo, M. Machado, I. Unadkat, P. Juvekar, P. Bunevicius, A. Toews, M. Wells, M. Miga, M. I. Golby, A. J. Brigham & Womens Hosp Dept Radiol 75 Francis St Boston MA 02115 USA Vanderbilt Univ Dept Biomed Engn Nashville TN 37235 USA Univ Lisbon Inst Super Tecn Lisbon Portugal Brigham & Womens Hosp Dept Neurosurg 75 Francis St Boston MA 02115 USA Ecole Technol Super Dept Genie Syst Montreal PQ Canada MIT Comp Sci & Artificial Intelligence Lab 77 Massachusetts Ave Cambridge MA 02139 USA Vanderbilt Univ Med Ctr Dept Neurol Surg Nashville TN USA Vanderbilt Univ Med Ctr Dept Radiol & Radiol Sci Nashville TN USA Vanderbilt Univ Vanderbilt Inst Surg & Engn 221 Kirkland Hall Nashville TN 37235 USA

ISBN: (纸本)9781510625501

Brain shift compensation attempts to model the deformation of the brain which occurs during the surgical removal of brain tumors to enable mapping of presurgical image data into patient coordinates during surgery and thus improve the accuracy and utility of neuro-navigation. We present preliminary results from clinical tumor resections that compare two methods for modeling brain deformation, a simple thin plate spline method that interpolates displacements and a more complex finite element method (FEM) that models physical and geometric constraints of the brain and its material properties. Both methods are driven by the same set of displacements at locations surrounding the tumor. These displacements were derived from sets of corresponding matched features that were automatically detected using the SIFT-Rank algorithm. The deformation accuracy was tested using a set of manually identified landmarks. The FEM method requires significantly more preprocessing than the spline method but both methods can be used to model deformations in the operating room in reasonable time frames. Our preliminary results indicate that the FEM deformation model significantly out-performs the spline-based approach for predicting the deformation of manual landmarks While both methods compensate for brain shift, this work suggests that models that incorporate biophysics and geometric constraints may be more accurate.

关键词： image-guided neurosurgery brain shift intraoperative ultrasound

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

Medical Imaging 2023: Image-Guided Procedures, Robotic Inter...

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

ISBN: (纸本)9781510660373

The proceedings contain 87 papers. The topics discussed include: extemporaneous airway route computation during live bronchoscopic procedures;real bronchoscopic images-based bronchial nomenclature: a preliminary study;a semantic segmentation method for laparoscopic images using semantically similar groups;open source video-based hand-eye calibration;a disparity refinement framework for learning-based stereo matching methods in cross-domain setting for laparoscopic images;a high-speed hyperspectral laparoscopic imaging system;self-supervised learning and uncertainty estimation for surgical margin detection;using uncertainty quantification to improve reliability of video-based skill assessment metrics in central venous catheterization;cautery tool state detection using deep learning on intraoperative surgery videos;using object detection for surgical tool recognition in simulated open inguinal hernia repair surgery;and improved tool tracking algorithm for eye surgery based on combined color space masks.

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Controllability of the Vagus Nerve Using Directed Electrode Stimulation

Controllability of the Vagus Nerve Using Directed Electrode ...

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

作者： Jacobson, Brianna Ding, Alice K. Luo, Ma Pereira, Kyvia Miga, Michael, I Vanderbilt Inst Surg & Engn Nashville TN 37212 USA Vanderbilt Univ Dept Biomed Engn Nashville TN 37235 USA Vanderbilt Univ Med Ctr Dept Radiol & Radiol Sci Nashville TN USA Vanderbilt Univ Med Ctr Dept Neurol Surg Nashville TN USA Vanderbilt Univ Med Ctr Dept Otolaryngol Head & Neck Surg Nashville TN USA

ISBN: (纸本)9781510649446;9781510649439

Vagus nerve stimulation (VNS), commonly used to reduce seizures in patients with epilepsy, is a promising therapeutic treatment for a number of health issues. Current VNS apparatuses employ a helical electrode design, which stimulates the nerve with no anatomical specificity. The efficacy and breadth of VNS therapy could be improved by targeting stimulation to specific regions of the nerve. A mock electrode was built around a morphologically accurate finite element model of the vagus nerve. Electric currents were injected into the nerve model, and a nodal activating function was used to determine which axons would initiate action potentials. Electrode configurations and stimulation settings were adjusted to target specific fascicles until optimal activation was achieved. Results indicated that small, proximal electrodes could stimulate targeted regions while avoiding activation of off-target axons. Injection of negative current perpendicular to the positive stimulus also proved to refine spatial stimulation, allowing for the activation of deep fascicles with minimal side-effects. While an understanding of the fascicular anatomy of the vagus nerve is still being explored, the preliminary results of this study corroborate the concept of selectively targeting regions of the nerve with electrical stimulation in order to treat specific patient needs. The computational process presented in this work could be employed as a planning tool prior to the geometrical design and surgical implantation of VNS devices.

关键词： vagus nerve fascicular anatomy neuromodulation finite element modeling selective stimulation

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Medical Imaging 2014: image-guided procedures, robotic interventions, and modeling

Medical Imaging 2014: Image-Guided Procedures, Robotic Inter...

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Medical Imaging 2014: image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9780819498298

The proceedings contain 98 papers. The topics discussed include: adaptive fiducial-free registration using multiple point selection for real-time electromagnetically navigated endoscopy;geometric estimation of intestinal contraction for motion tracking of video capsule endoscope;motion magnification for endoscopic surgery;reconstruction and feature selection for desorption electrospray ionization mass spectroscopy imagery;automatic standard plane adjustment on mobile C-Arm CT images of the calcaneus using atlas-based feature registration;mechanically assisted 3D ultrasound for pre-operative assessment and guiding percutaneous treatment of focal liver tumors;optoacoustic sensing for target detection inside cylindrical catheters;and polarization-sensitive multispectral tissue characterization for optimizing intestinal anastomosis.

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Breast image registration for surgery: Insights on material mechanics modeling

Breast image registration for surgery: Insights on material ...

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

作者： Ringel, Morgan J. Richey, Winona L. Heiselman, Jon Luo, Ma Meszoely, Ingrid M. Miga, Michael, I Vanderbilt Univ Dept Biomed Engn Nashville TN 37235 USA Vanderbilt Univ Div Surg Oncol Med Ctr Nashville TN USA Vanderbilt Univ Dept Radiol & Radiol Sci 221 Kirkland Hall Nashville TN 37235 USA Vanderbilt Inst Surg & Engn Nashville TN 37235 USA Vanderbilt Univ Dept Neurol Surg Med Ctr Nashville TN USA Vanderbilt Univ Dept Otolaryngol Head & Neck Surg Med Ctr Nashville TN USA

ISBN: (纸本)9781510649446;9781510649439

Breast conserving surgery (BCS) is a common procedure for early-stage breast cancer patients. Supine preoperative magnetic resonance (MR) breast imaging for visualizing tumor location and extent, while not standard for procedural guidance, more closely represents the surgical presentation compared to conventional diagnostic pendant positioning. Optimal utilization for surgical guidance, however, requires a fast and accurate image-to-physical registration from preoperative imaging to intraoperative surgical presentation. In this study, three registration methods were investigated on healthy volunteers' breasts (n=11) with the arm-down position simulating preoperative imaging and arm-up position simulating intraoperative data. The registration methods included: (1) point-based rigid registration using synthetic fiducials, (2) non-rigid biomechanical model-based registration using sparse data, and (3) a data-dense 3D diffeomorphic image-based registration from the Advanced Normalization Tools (ANTs) repository. The average target registration errors (TRE) were 10.4 +/- 2.3, 6.4 +/- 1.5, and 2.8 +/- 1.3 mm (mean +/- standard deviation) and the average fiducial registration errors (FRE) were 7.8 +/- 1.7, 2.5 +/- 1.1, and 3.1 +/- 1.1 mm (mean +/- standard deviation) for the point-based rigid, nonrigid biomechanical, and ANTs registrations, respectively. Additionally, common mechanics-based deformation metrics (volume change and anisotropy) were calculated from the ANTs deformation field. The average metrics revealed anisotropic tissue behavior and a statistical difference in volume change between glandular and adipose tissue, suggesting that nonrigid modeling methods may be improved by incorporating material heterogeneity and anisotropy. Overall, registration accuracy significantly improved with increasingly flexible registration methods, which may inform future development of image guidance systems for lumpectomy procedures.

关键词： breast cancer lumpectomy surgical guidance registration finite element modeling deformable image registration

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Automatic auditory nerve fiber localization using geodesic paths

Automatic auditory nerve fiber localization using geodesic p...

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

作者： Liu, Ziteng Bratu, Erin L. Noble, Jack H. Vanderbilt Univ Dept Comp Sci Nashville TN 37235 USA Vanderbilt Univ Dept Elect & Comp Engn Nashville TN USA

ISBN: (纸本)9781510671614;9781510671607

Cochlear implants (CIs) are considered standard treatment for patients who experience sensory-based hearing loss. During the surgery, an electrode array will be inserted into the cochlea to directly stimulate auditory nerve fibers (ANFs). Although CI devices have been remarkably successful at restoring audibility, the neural interface is unknown to audiologists, and patients need to experience programming sessions that are frustratingly long and usually lead to suboptimal results. Our group developed a high-resolution computational model in order to simulate the neural response triggered by CIs. However, the semi-automatic ANF segmentation approach we used for that model relies heavily on manual adjustment, and the central axons of those ANFs may still pass through the bone mistakenly due to the limitation of only one set of landmarks in the modiolus. In this work, we introduced a fully automatic ANF segmentation method. The peripheral and central axon of an ANF will be estimated individually based on five sets of automatically generated landmarks. The fast marching method is used to find the geodesic paths for the peripheral axons between the surfaces of the scala tympani (ST) and scala vestibuli (SV) meshes. Cylindrical coordinate systems are constructed based on landmarks and are used to smoothly interpolate trajectories for the spiral central axons. Experiments show that our proposed method outperforms the original method and achieves impressive performance with 0 overlapping ANFs and 0 ANFs passing through the bone. The number of ANFs that pass through ST or SV is also reduced by 36.1%.

关键词： Cochlea auditory nerves modeling

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SpineCloud: image Analytics for Predictive modeling of Spine Surgery Outcomes

SpineCloud: Image Analytics for Predictive Modeling of Spine...

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

作者： De Silva, T. Vedula, S. S. Perdomo-Pantoja, A. Vijayan, R. Doerr, S. A. Uneri, A. Han, R. Ketcha, M. D. Skolasky, R. L. Caffo, B. Hager, G. Witham, T. Theodore, N. Siewerdsen, J. H. Johns Hopkins Univ Dept Biomed Engn Baltimore MD 21205 USA Johns Hopkins Univ Malone Ctr Engn Healthcare Baltimore MD 21205 USA Johns Hopkins Univ Dept Neurosurg Baltimore MD 21205 USA Johns Hopkins Univ Dept Orthopaed Surg Baltimore MD USA Johns Hopkins Univ Dept Biostat Baltimore MD 21205 USA Johns Hopkins Univ Dept Comp Sci Baltimore MD 21218 USA

ISBN: (纸本)9781510633988

Spinal degeneration and deformity present an enormous healthcare burden, with spine surgery among the main treatment modalities. Unfortunately, spine surgery (e.g., lumbar fusion) exhibits broad variability in the quality of outcome, with similar to 20-40% of patients gaining no benefit in pain or function ("failed back surgery") and earning criticism that is difficult to reconcile versus rapid growth in frequency and cost over the last decade. Vital to advancing the quality of care in spine surgery are improved clinical decision support (CDS) tools that are accurate, explainable, and actionable: accurate in prediction of outcomes;explainable in terms of the physical / physiological factors underlying the prediction;and actionable within the shared decision process between a surgeon and patient in identifying steps that could improve outcome. This technical note presents an overview of a novel outcome prediction framework for spine surgery (dubbed SpineCloud) that leverages innovative image analytics in combination with explainable prediction models to achieve accurate outcome prediction. Key to the SpineCloud framework are image analysis methods for extraction of high-level quantitative features from multi-modality peri-operative images (CT, MR, and radiography) related to spinal morphology (including bone and soft-tissue features), the surgical construct (including deviation from an ideal reference), and longitudinal change in such features. The inclusion of such image-based features is hypothesized to boost the predictive power of models that conventionally rely on demographic / clinical data alone (e.g., age, gender, BMI, etc.). Preliminary results using gradient boosted decision trees demonstrate that such prediction models are explainable (i.e., why a particular prediction is made), actionable (identifying features that may be addressed by the surgeon and/or patient), and boost predictive accuracy compared to analysis based on demographics alone (e.g., AUC imp

关键词： spine surgery image analysis surgical outcomes predictive modeling clinical decision support

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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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Medical Imaging 2013: image-guided procedures, robotic interventions, and modeling

Medical Imaging 2013: Image-Guided Procedures, Robotic Inter...

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Medical Imaging 2013: image-guided procedures, robotic interventions, and modeling

ISBN: (纸本)9780819494450

The proceedings contain 87 papers. The topics discussed include: technician-free system for image-guided bronchoscopy;robust feature tracking for endoscopic pose estimation and structure recovery;towards designing an optical-flow based colonoscopy tracking algorithm: a comparative study;image guidance system for flexible endoscopes considering tissue deformation;endoscopic laser range scanner for minimally invasive, mage guided kidney surgery;evaluation of non-rigid constrained CT/CBCT registration algorithms for delineation propagation in the context of prostate cancer radiotherapy;fast radioactive seed localization in intraoperative cone beam CT for low-dose-rate prostate brachytherapy;a dynamic dosimetry system for prostate brachytherapy;fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric;nonrigid liver registration for image-guided surgery using partial surface data: a novel iterative approach;cryo-balloon catheter localization in fluoroscopic images;and respiratory motion influence on catheter contact force during radio frequency ablation procedures.

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