scholarly journals An improved tracking framework for ultrasound probe localization in image-guided radiosurgery

2016 ◽  
Vol 2 (1) ◽  
pp. 409-413 ◽  
Author(s):  
Svenja Ipsen ◽  
Ralf Bruder ◽  
Philipp Jauer ◽  
Floris Ernst ◽  
Oliver Blanck ◽  
...  
Keyword(s):  
Real Time ◽  
Degrees Of Freedom ◽  
Image Guidance ◽  
Tracking System ◽  
Ultrasound Image ◽  
Target Position ◽  
Target Localization ◽  
X Ray ◽  
Flat Panel Detectors ◽  
Patient Localization

AbstractReal-time target localization with ultrasound holds high potential for image guidance and motion compensation in radiosurgery due to its non-invasive image acquisition free from ionizing radiation. However, a two-step localization has to be performed when integrating ultrasound into the existing radiosurgery workflow. In addition to target localization inside the ultrasound volume, the probe itself has to be localized in order to transform the target position into treatment room coordinates. By adapting existing camera calibration tools, we have developed a method to extend the stereoscopic X-ray tracking system of a radiosurgery platform in order to locate objects such as marker geometries with six degrees of freedom. The calibration was performed with 0.1 mm reprojection error. By using the full area of the flat-panel detectors without pre-processing the extended software increased the tracking volume and resolution by up to 80%, substantially improving patient localization and marker detectability. Furthermore, marker-tracking showed sub-millimeter accuracy and rotational errors below 0.1°. This demonstrates that the developed extension framework can accurately localize marker geometries using an integrated X-ray system, establishing the link for the integration of real-time ultrasound image guidance into the existing system.

Real-time X-ray-based 4D image guidance of minimally invasive interventions

2013 ◽  
Vol 23 (6) ◽  
pp. 1669-1677 ◽  
Author(s):  
Jan Kuntz ◽  
Rajiv Gupta ◽  
Stefan O. Schönberg ◽  
Wolfhard Semmler ◽  
Marc Kachelrieß ◽  
...  
Keyword(s):  
Minimally Invasive ◽  
Real Time ◽  
Image Guidance ◽  
X Ray

NOVALIS FRAMELESS IMAGE-GUIDED NONINVASIVE RADIOSURGERY

Neurosurgery ◽  
2008 ◽  
Vol 62 (suppl_5) ◽  
pp. A11-A18 ◽  
Author(s):  
Reinhard E. Wurm ◽  
Stephan Erbel ◽  
Isabel Schwenkert ◽  
Franz Gum ◽  
Daniel Agaoglu ◽  
...  
Keyword(s):  
Degrees Of Freedom ◽  
Imaging System ◽  
Infrared Camera ◽  
Target Position ◽  
Patient Positioning ◽  
Acceptance Testing ◽  
Initial Experience ◽  
X Ray ◽  
Computed Tomographic ◽  
Image Guided

ABSTRACT OBJECTIVE To evaluate our initial experience with Novalis (BrainLAB, Heimstetten, Germany) frameless image-guided noninvasive radiosurgery. METHODS The system combines the dedicated Novalis linear accelerator with ExacTrac X-Ray 6D, an infrared camera and a kilovolt stereoscopic x-ray imaging system, a noninvasive mask system, and ExacTrac robotics for patient positioning in six degrees of freedom. Reference cranial skeletal structures are radiographically imaged and automatically fused to digital reconstructed radiographs calculated from the treatment planning computed tomographic scan to find the target position and accomplish automatic real-time tracking before and during radiosurgery. We present the acceptance testing and initial experience in 15 patients with 19 intracranial lesions treated between December 2005 and June 2006 at the Charité by frameless image-guided radiosurgery with doses between 12 and 20 Gy prescribed to the target-encompassing isodose. RESULTS Phantom tests showed an overall system accuracy of 1.04 ± 0.47 mm, with an average in-plane deviation of 0.02 ± 0.96 mm for the x-axis and 0.02 ± 0.70 mm for the y-axis. After infrared-guided patient setup of all patients, the overall average translational deviation determined by stereoscopic x-ray verification was 1.5 ± 1.3 mm, and the overall average rotational deviation was 1.0 ± 0.8 degree. The data used for radiosurgery, after stereoscopic x-ray verification and correction, demonstrated an overall average setup error of 0.31 ± 0.26 mm for translation and 0.26 ± 0.23 degree for rotation. CONCLUSION This initial evaluation demonstrates the system accuracy and feasibility of Novalis image-guided noninvasive radiosurgery for intracranial benign and malignant lesions.

Progress report on the performance of real-time selenium flat-panel detectors for direct x-ray imaging

2002 ◽  
Author(s):  
Olivier Tousignant ◽  
Martin Choquette ◽  
Yves Demers ◽  
Luc Laperriere ◽  
Jonathan Leboeuf ◽  
...  
Keyword(s):  
Real Time ◽  
Progress Report ◽  
Flat Panel ◽  
X Ray ◽  
X Ray Imaging ◽  
Flat Panel Detectors

UNSUPERVISED MARKERLESS 3-DOF MOTION TRACKING IN REAL TIME USING A SINGLE LOW-BUDGET CAMERA

2012 ◽  
Vol 22 (05) ◽  
pp. 1250019 ◽  
Author(s):  
LUIS QUESADA ◽  
ALEJANDRO J. LEÓN
Keyword(s):  
Real Time ◽  
Degrees Of Freedom ◽  
Motion Tracking ◽  
Tracking System ◽  
Three Dimensional ◽  
Target Object ◽  
Commercial Applications ◽  
Amount Of Knowledge ◽  
Partially Occluded ◽  
Motion Tracking System

Motion tracking is a critical task in many computer vision applications. Existing motion tracking techniques require either a great amount of knowledge on the target object or specific hardware. These requirements discourage the wide spread of commercial applications based on motion tracking. In this paper, we present a novel three degrees of freedom motion tracking system that needs no knowledge on the target object and that only requires a single low-budget camera that can be found installed in most computers and smartphones. Our system estimates, in real time, the three-dimensional position of a nonmodeled unmarked object that may be nonrigid, nonconvex, partially occluded, self-occluded, or motion blurred, given that it is opaque, evenly colored, enough contrasting with the background in each frame, and that it does not rotate. Our system is also able to determine the most relevant object to track in the screen. Our proposal does not impose additional constraints, therefore it allows a market-wide implementation of applications that require the estimation of the three position degrees of freedom of an object.

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