Explanipedia

A kV–MV approach to CBCT metal artifact reduction using multi-layer MV-CBCT Open

Matthew W. Jacobson, Thomas C. Harris, Marios Myronakis, Mathias Lehmann, Pascal Huber , et al. · 2024

Objective . To demonstrate that complete cone beam CT (CBCT) scans from both MV-energy and kV-energy LINAC sources can reduce metal artifacts in radiotherapy guidance, while maintaining standard-of-care x-ray doses levels. Approach . MV-CB…

Impact of a novel multilayer imager on metal artifacts in MV-CBCT Open

Thomas C. Harris, Matthew W. Jacobson, Marios Myronakis, Mathias Lehmann, Pascal Huber , et al. · 2023

Objective . Megavoltage cone-beam computed tomography (MV-CBCT) imaging offers several advantages including reduced metal artifacts and accurate electron density mapping for adaptive or emergent situations. However, MV-CBCT imaging is limi…

Beam's-Eye-View Imaging of Liver SBRT With a Novel Multi-Layer Imager Open

Thomas C. Harris, Joao Seco, D. Ferguson, Matthew W. Jacobson, Marios Myronakis , et al. · 2021

Improvements in beam’s eye view fiducial tracking using a novel multilayer imager Open

Thomas C. Harris, Joao Seco, D. Ferguson, Matthew W. Jacobson, Marios Myronakis , et al. · 2021

Purpose. Electronic portal image devices (EPIDs) have been investigated previously for beams-eye view (BEV) applications such as tumor tracking but are limited by low contrast-to-noise ratio and detective quantum efficiency. A novel multil…

Frequency-dependent optimal weighting approach for megavoltage multilayer imagers Open

Ingrid Valencia Lozano, Mengying Shi, Marios Myronakis, Paul Baturin, Rony Fueglistaller , et al. · 2021

Multi-layer imaging (MLI) devices improve the detective quantum efficiency (DQE) while maintaining the spatial resolution of conventional mega-voltage (MV) x-ray detectors for applications in radiotherapy. To date, only MLIs with identical…

Abbreviated on-treatment CBCT using roughness penalized mono-energization of kV-MV data and a multi-layer MV imager Open

Matthew W. Jacobson, Mathias Lehmann, Pascal Huber, Adam Wang, Marios Myronakis , et al. · 2021

Simultaneous acquisition of cone beam CT (CBCT) projections using both the kV and MV imagers of an image guided radiotherapy system reduces set-up scan times—a benefit to lung cancer radiation oncology patients—but increases noise in the 3…

Clinical translation of a new flat-panel detector for beam’s-eye-view imaging Open

TC Harris, Joao Seco, D. Ferguson, Mathias Lehmann, Pascal Huber , et al. · 2020

Electronic portal imaging devices (EPIDs) lend themselves to beams-eye view clinical applications, such as tumor tracking, but are limited by low contrast and detective quantum efficiency (DQE). We characterize a novel EPID prototype consi…

GPU-accelerated Monte Carlo simulation of MV-CBCT Open

Mengying Shi, Marios Myronakis, Matthew W. Jacobson, D. Ferguson, Christopher Williams , et al. · 2020

Monte Carlo simulation (MCS) is one of the most accurate computation methods for dose calculation and image formation in radiation therapy. However, the high computational complexity and long execution time of MCS limits its broad use. In …

Automated MV markerless tumor tracking for VMAT Open

D. Ferguson, Thomas C. Harris, Mengze Shi, Matthew W. Jacobson, Marios Myronakis , et al. · 2020

Tumor tracking during radiotherapy treatment can improve dose accuracy, conformity and sparing of healthy tissue. Many methods have been introduced to tackle this challenge utilizing multiple imaging modalities, including a template matchi…

A rapid, accurate image simulation strategy for mega-voltage cone-beam computed tomography Open

Mengying Shi, Marios Myronakis, Matthew W. Jacobson, Mathias Lehmann, D. Ferguson , et al. · 2020

Intensive computation time is required to simulate images of electronic portal imaging device (EPID) using Monte Carlo (MC) technique, limiting the development of applications associated with EPID, such as mega-voltage cone-beam computed t…

Evaluation of image quality and task performance for a mobile C-arm with a complementary metal–oxide semiconductor detector Open

Godwin Abiola, Niral Sheth, Wojciech Zbijewski, Matthew W. Jacobson, Christopher R. Bailey , et al. · 2020

We assessed interventional radiologists' task-based image quality preferences for two- and three-dimensional images obtained with a complementary metal-oxide semiconductor (CMOS) flat-panel detector versus a hydrogenated amorphous silicon …

Low‐dose megavoltage cone‐beam computed tomography using a novel multi‐layer imager (MLI) Open

Marios Myronakis, Pascal Huber, Mathias Lehmann, Rony Fueglistaller, Matthew W. Jacobson , et al. · 2020

Purpose The feasibility of low‐dose megavoltage cone‐beam acquisition (MVCBCT) using a novel, high detective quantum efficiency (DQE) multi‐layer imager (MLI) was investigated. The aim of this work was to reconstruct MVCBCT images using th…

Task-driven source–detector trajectories in cone-beam computed tomography: II. Application to neuroradiology Open

Sarah Capostagno, J. Webster Stayman, Matthew W. Jacobson, Tina Ehtiati, Clifford R. Weiss , et al. · 2019

We apply the methodology detailed in "Task-driven source-detector trajectories in cone-beam computed tomography: I. Theory and methods" by Stayman et al. for task-driven optimization of source-detector orbits in cone-beam computed t…

A novel method for fast image simulation of flat panel detectors Open

Mengying Shi, Marios Myronakis, Yue‐Houng Hu, Matthew W. Jacobson, Mathias Lehmann , et al. · 2019

We have developed a novel method for fast image simulation of flat panel detectors, based on the photon energy deposition efficiency and the optical spread function (OSF). The proposed method, FastEPID, determines the photon detection usin…

Clinical Translation of the LevelCheck Decision Support Algorithm for Target Localization in Spine Surgery Open

Amir Manbachi, Tharindu De Silva, Ali Uneri, Matthew W. Jacobson, J Goerres , et al. · 2018

Penalized-Likelihood Reconstruction With High-Fidelity Measurement Models for High-Resolution Cone-Beam Imaging Open

Steven Tilley, Matthew W. Jacobson, Qian Cao, Michael Brehler, Alejandro Sisniega , et al. · 2017

We present a novel reconstruction algorithm based on a general cone-beam CT forward model, which is capable of incorporating the blur and noise correlations that are exhibited in flat-panel CBCT measurement data. Specifically, the proposed…

A line fiducial method for geometric calibration of cone-beam CT systems with diverse scan trajectories Open

Matthew W. Jacobson, Michael D. Ketcha, Sarah Capostagno, Anne B. Martin, Ali Uneri , et al. · 2017

Modern cone-beam CT systems, especially C-arms, are capable of diverse source-detector orbits. However, geometric calibration of these systems using conventional configurations of spherical fiducials (BBs) may be challenged for novel sourc…

Planning, guidance, and quality assurance of pelvic screw placement using deformable image registration Open

J Goerres, Ali Uneri, Matthew W. Jacobson, Bruce A. Ramsay, T. De Silva , et al. · 2017

Percutaneous pelvic screw placement is challenging due to narrow bone corridors surrounded by vulnerable structures and difficult visual interpretation of complex anatomical shapes in 2D x-ray projection images. To address these challenges…

Correction of patient motion in cone-beam CT using 3D–2D registration Open

S Ouadah, Matthew W. Jacobson, J. Webster Stayman, Tina Ehtiati, Clifford R. Weiss , et al. · 2017

Cone-beam CT (CBCT) is increasingly common in guidance of interventional procedures, but can be subject to artifacts arising from patient motion during fairly long (~5-60 s) scan times. We present a fiducial-free method to mitigate motion …

Effects of Image Quality on the Fundamental Limits of Image Registration Accuracy Open

Michael D. Ketcha, Tharindu De Silva, Runze Han, Ali Uneri, J Goerres , et al. · 2017

For image-guided procedures, the imaging task is often tied to the registration of intraoperative and preoperative images to a common coordinate system. While the accuracy of this registration is a vital factor in system performance, there…

Fundamental limits of image registration performance: effects of image noise and resolution in CT-guided interventions Open

Michael D. Ketcha, T. de Silva, Runze Han, Ali Uneri, J Goerres , et al. · 2017

Analysis of the CRLB for image registration is an important step toward understanding and evaluating an intraoperative imaging system with respect to a registration task. While the CRLB is optimistic in absolute performance, it reveals a b…

Deformable 3D-2D registration for guiding K-wire placement in pelvic trauma surgery Open

J Goerres, Matthew W. Jacobson, Ali Uneri, T. de Silva, Michael D. Ketcha , et al. · 2017

Pelvic Kirschner wire (K-wire) insertion is a challenging surgical task requiring interpretation of complex 3D anatomical shape from 2D projections (fluoroscopy) and delivery of device trajectories within fairly narrow bone corridors in pr…

Intraoperative evaluation of device placement in spine surgery using known-component 3D–2D image registration Open

Ali Uneri, T De Silva, J Goerres, Matthew W. Jacobson, Michael D. Ketcha , et al. · 2017

Intraoperative x-ray radiography/fluoroscopy is commonly used to assess the placement of surgical devices in the operating room (e.g. spine pedicle screws), but qualitative interpretation can fail to reliably detect suboptimal delivery and…

Spinal pedicle screw planning using deformable atlas registration Open

J Goerres, Ali Uneri, T De Silva, Michael D. Ketcha, S Reaungamornrat , et al. · 2017

Spinal screw placement is a challenging task due to small bone corridors and high risk of neurological or vascular complications, benefiting from precision guidance/navigation and quality assurance (QA). Implicit to both guidance and QA is…

Registration of MRI to intraoperative radiographs for target localization in spinal interventions Open

T De Silva, Ali Uneri, Michael D. Ketcha, S Reaungamornrat, J Goerres , et al. · 2017

Decision support to assist in target vertebra localization could provide a useful aid to safe and effective spine surgery. Previous solutions have shown 3D-2D registration of preoperative CT to intraoperative radiographs to reliably annota…

Deformable 3D-2D Registration of Known Components for Image Guidance in Spine Surgery Open

Ali Uneri, J Goerres, T. De Silva, Matthew W. Jacobson, Michael D. Ketcha , et al. · 2016

A 3D-2D image registration method is reported for guiding the placement of surgical devices (e.g., K-wires). The solution registers preoperative CT (and planning data therein) to intraoperative radiographs and computes the pose, shape, …

Matthew W. Jacobson YOU? Author Swipe