Daisne J.-F.,Clinique and Maternite Ste Elisabeth |
Radiation Oncology | Year: 2013
Background: Intensity modulated radiotherapy for head and neck cancer necessitates accurate definition of organs at risk (OAR) and clinical target volumes (CTV). This crucial step is time consuming and prone to inter- and intra-observer variations. Automatic segmentation by atlas deformable registration may help to reduce time and variations. We aim to test a new commercial atlas algorithm for automatic segmentation of OAR and CTV in both ideal and clinical conditions.Methods: The updated Brainlab automatic head and neck atlas segmentation was tested on 20 patients: 10 cN0-stages (ideal population) and 10 unselected N-stages (clinical population). Following manual delineation of OAR and CTV, automatic segmentation of the same set of structures was performed and afterwards manually corrected. Dice Similarity Coefficient (DSC), Average Surface Distance (ASD) and Maximal Surface Distance (MSD) were calculated for " manual to automatic" and " manual to corrected" volumes comparisons.Results: In both groups, automatic segmentation saved about 40% of the corresponding manual segmentation time. This effect was more pronounced for OAR than for CTV. The edition of the automatically obtained contours significantly improved DSC, ASD and MSD. Large distortions of normal anatomy or lack of iodine contrast were the limiting factors.Conclusions: The updated Brainlab atlas-based automatic segmentation tool for head and neck Cancer patients is timesaving but still necessitates review and corrections by an expert. © 2013 Daisne and Blumhofer; licensee BioMed Central Ltd.
BrainLAB | Date: 2015-10-23
A method for generating planning data or control data for a radiation treatment, comprising the following steps: acquiring segmented data of an object which contains a treatment volume and a non-treatment volume; modelling at least some or all of the volume or surface of the treatment volume as a source of light or rays exhibiting a predefined or constant initial intensity; modelling the non-treatment volume as comprising volumetric elements or voxels which each exhibit an individually assigned feature or attenuation or transparency value (t
BrainLAB | Date: 2013-02-19
A medical holder device to which a flexible medical tooltip comprising an optical fibre can exchangeably be attached, the medical holder device comprising an optical fibre connector for receiving the proximal end of the optical fibre, a light source adapted to emit light into the optical fibre, a light receiver adapted to receive light reflected at the distal end of the optical fibre and to output a corresponding output signal and a processing unit adapted to receive the output signal from the light receiver and to calculate a bending of the optical fibre.
BrainLAB | Date: 2015-08-26
The invention is directed to a method for controlling a process of monitoring the position of at least a part of a patients body (
BrainLAB | Date: 2014-05-26
The present disclosure relates to a feedback system for control or input gestures in a medical environment, which includes a presence detector which generates a threshold and acquires detection data which describe whether a medical input gesture reaches and/or crosses the threshold; and a computer which is connected to the presence detector and triggers a sterility-preserving response to a positive detection by the presence detector, wherein the computer is configured to provide user guidance comprising a warning message if actual contact with a medical display has been detected by the presence detector or a touch screen display or a touch detector on the display. The invention also relates to a medical image display system comprising such a feedback system and to a method of providing sterility-preserving feedback with respect to control or input gestures in a medical system.