Výsledky vyhledávání - "Michael D. Ketcha"

Data-Driven Deformable 3D-2D Registration for Guiding Neuroelectrode Placement in Deep Brain Stimulation

Autor: Jeffrey H. Siewerdsen, Prasad Vagdargi, Craig K. Jones, Pengwei Wu, Ali Uneri, Patrick A. Helm, Runze Han, William S. Anderson, Michael D. Ketcha, Mark G. Luciano

Publikováno v: Proc SPIE Int Soc Opt Eng

PURPOSE. Deep brain stimulation is a neurosurgical procedure used in treatment of a growing spectrum of movement disorders. Inaccuracies in electrode placement, however, can result in poor symptom control or adverse effects and confound variability i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5d7e397e3bca1e9b825afc47f74963f
https://pubmed.ncbi.nlm.nih.gov/35982943

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A Statistical Model for Rigid Image Registration Performance: The Influence of Soft-Tissue Deformation as a Confounding Noise Source

Autor: Jeffrey H. Siewerdsen, Gerhard Kleinszig, Sebastian Vogt, Runze Han, Michael D. Ketcha, Tharindu De Silva, Ali Uneri

Publikováno v: IEEE Trans Med Imaging

Soft-tissue deformation presents a confounding factor to rigid image registration by introducing image content inconsistent with the underlying motion model, presenting non-correspondent structure with potentially high power, and creating local minim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e05dd7dc1a1ea8dfc819de28578118cd
https://doi.org/10.1109/tmi.2019.2907868

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Connectome smoothing via low-rank approximations

Autor: Daniel S. Margulies, Evan Calabrese, Daniel L. Sussman, Runze Tange, Joshua T. Vogelstein, Alexandra Badea, Carey E. Priebe, Michael D. Ketcha

Publikováno v: IEEE Transactions on Medical Imaging
arXiv
IEEE Trans Med Imaging

In statistical connectomics, the quantitative study of brain networks, estimating the mean of a population of graphs based on a sample is a core problem. Often, this problem is especially difficult because the sample or cohort size is relatively smal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad5d75b28cd5129b56096ae4e54bf7e3
https://doi.org/10.1109/tmi.2018.2885968

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Development of a fluoroscopically guided robotic assistant for instrument placement in pelvic trauma surgery

Autor: Ali Uneri, Michael D. Ketcha, Runze Han, Jeffrey H. Siewerdsen, Prasad Vagdargi, Sebastian Vogt, Rohan C. Vijayan, Gerhard Kleinszig, Niral Sheth, Greg Osgood, Pengwei Wu

Publikováno v: J Med Imaging (Bellingham)

Purpose: A method for fluoroscopic guidance of a robotic assistant is presented for instrument placement in pelvic trauma surgery. The solution uses fluoroscopic images acquired in standard clinical workflow and helps avoid repeat fluoroscopy commonl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1769f586d4c01699661d0391e78e9848
https://europepmc.org/articles/PMC8189698/

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Sinogram + image domain neural network approach for metal artifact reduction in low-dose cone-beam computed tomography

Autor: Patrick A. Helm, Andre Souza, Ali Uneri, Xiaoxuan Zhang, Pengwei Wu, Michael D. Ketcha, Michael Marrama, Jeffrey H. Siewerdsen

Publikováno v: J Med Imaging (Bellingham)

Purpose: Cone-beam computed tomography (CBCT) is commonly used in the operating room to evaluate the placement of surgical implants in relation to critical anatomical structures. A particularly problematic setting, however, is the imaging of metallic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcff5ab6ebb6cbdbb16097928c333edb
https://doi.org/10.1117/1.jmi.8.5.052103

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Deformable MR-CT image registration using an unsupervised synthesis and registration network for neuro-endoscopic surgery

Autor: Prasad Vagdargi, Jeffrey H. Siewerdsen, Junghoon Lee, Ali Uneri, Pengwei Wu, Runze Han, Michael D. Ketcha, Mark G. Luciano, William S. Anderson, Craig K. Jones

Publikováno v: Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling.

Purpose: Deep-brain stimulation via neuro-endoscopic surgery is a challenging procedure that requires accurate targeting of deep-brain structures that can undergo deformations (up to 10 mm). Conventional deformable registration methods have the poten

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6a0d5b0bbca9e2f8a72e19c7e110a241
https://doi.org/10.1117/12.2581567

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Cone-beam CT for neurosurgical guidance: high-fidelity artifacts correction for soft-tissue contrast resolution

Autor: Ali Uneri, Michael D. Ketcha, Jeffrey H. Siewerdsen, Craig K. Jones, Xiaoxuan Zhang, Alejandro Sisniega, Runze Han, Prasad Vagdargi, William Anderson, Mark G. Luciano, Pengwei Wu

Publikováno v: Medical Imaging 2021: Physics of Medical Imaging.

Purpose: Intraoperative cone-beam CT (CBCT) plays an important role in neurosurgical guidance but is conventionally limited to high-contrast bone visualization. This work reports a high-fidelity artifacts correction pipeline to advance image quality

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0afeac0e7df1986c9ca5079109ce6ab3
https://doi.org/10.1117/12.2581686

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Multi-slot intraoperative imaging and 3D-2D registration for evaluation of long surgical constructs in spine surgery

Autor: Patrick A. Helm, Craig K. Jones, Jeffrey H. Siewerdsen, Xiaoxuan Zhang, Michael D. Ketcha, Sophia A. Doerr, Ali Uneri

Publikováno v: Medical Imaging: Image-Guided Procedures

Purpose. Initial prototype for an intraoperative slot-scan imaging and registration technique is reported for 3D guidance and confirmation of surgical constructs in spine surgery – specifically, involving placement of pedicle screws in multilevel s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aa93b8e647c7a0e2267bd981d0da3bb9
https://doi.org/10.1117/12.2549876

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Image-guided robotic k-wire placement for orthopaedic trauma surgery

Autor: Niral Sheth, Gerhard Kleinszig, Rohan C. Vijayan, Ali Uneri, Sebastian Vogt, Runze Han, Pengwei Wu, Michael D. Ketcha, Jeffrey H. Siewerdsen, Prasad Vagdargi, Greg Osgood

Publikováno v: Medical Imaging: Image-Guided Procedures
Proc SPIE Int Soc Opt Eng

PURPOSE. We report the initial development of an image-based solution for robotic assistance of pelvic fracture fixation. The approach uses intraoperative radiographs, preoperative CT, and an end effector of known design to align the robot with targe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5b4556e64c16c9dc8e156ce2901663b
https://doi.org/10.1117/12.2549713

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SpineCloud: image analytics for predictive modeling of spine surgery outcomes

Autor: Rohan C. Vijayan, Runze Han, Alexander Perdomo-Pantoja, Gregory D. Hager, S. Swaroop Vedula, Timothy F. Witham, B. Caffo, Nicholas Theodore, Ali Uneri, Jeffrey H. Siewerdsen, Michael D. Ketcha, Richard L. Skolasky, T. De Silva, Sophia A. Doerr

Publikováno v: Medical Imaging: Image-Guided Procedures

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 ~20-40% of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aa29151c5083876a58771014c8cdb5c8
https://doi.org/10.1117/12.2566372

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