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An Approach to Improve Accuracy of Optical Tracking Systems in Cranial Radiation Therapy.

Stüber P, Wagner B, Wissel T, Bruder R, Schweikard A, Ernst F - Cureus (2015)

Bottom Line: This work presents a new method for the accurate estimation of soft tissue thickness based on near infrared (NIR) laser measurements.By using this estimation, our goal is to develop an improved non-invasive marker-less optical tracking system for cranial radiation therapy.Results are presented for three subjects and reveal an RMS error of less than 0.34 mm.

View Article: PubMed Central - HTML - PubMed

Affiliation: University of Lübeck, Institute for Robotics and Cognitive Systems.

ABSTRACT
This work presents a new method for the accurate estimation of soft tissue thickness based on near infrared (NIR) laser measurements. By using this estimation, our goal is to develop an improved non-invasive marker-less optical tracking system for cranial radiation therapy. Results are presented for three subjects and reveal an RMS error of less than 0.34 mm.

No MeSH data available.


Related in: MedlinePlus

NIR scanner setup containing a laser source, a beam splitter, a beam dump, a galvanometric scanning unit, a triangulation camera, and a HDR camera
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FIG1: NIR scanner setup containing a laser source, a beam splitter, a beam dump, a galvanometric scanning unit, a triangulation camera, and a HDR camera

Mentions: To estimate the tissue thickness from near infrared (NIR) scans a special measurement setup was designed (Figure 1). Wissel, et al. and Stüber, et al. published a detailed description [2-3]. The setup contains a laser source (Thorlabs LPS-830-FC) (Thorlabs, Inc, Newton, NJ), a galvanometric scanner system (Galvo-System AXJ-V20, hereafter: galvoscanner), and two cameras. One camera has a high dynamic range contrast (Andor Zyla, hereafter: HDR-camera) (Andor Ltd, Belfast, N. Ireland) and the other camera (IDS µEye UI-3240CP) (IDS GmbH, Obersulm, Germany) is used for triangulation.


An Approach to Improve Accuracy of Optical Tracking Systems in Cranial Radiation Therapy.

Stüber P, Wagner B, Wissel T, Bruder R, Schweikard A, Ernst F - Cureus (2015)

NIR scanner setup containing a laser source, a beam splitter, a beam dump, a galvanometric scanning unit, a triangulation camera, and a HDR camera
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4494531&req=5

FIG1: NIR scanner setup containing a laser source, a beam splitter, a beam dump, a galvanometric scanning unit, a triangulation camera, and a HDR camera
Mentions: To estimate the tissue thickness from near infrared (NIR) scans a special measurement setup was designed (Figure 1). Wissel, et al. and Stüber, et al. published a detailed description [2-3]. The setup contains a laser source (Thorlabs LPS-830-FC) (Thorlabs, Inc, Newton, NJ), a galvanometric scanner system (Galvo-System AXJ-V20, hereafter: galvoscanner), and two cameras. One camera has a high dynamic range contrast (Andor Zyla, hereafter: HDR-camera) (Andor Ltd, Belfast, N. Ireland) and the other camera (IDS µEye UI-3240CP) (IDS GmbH, Obersulm, Germany) is used for triangulation.

Bottom Line: This work presents a new method for the accurate estimation of soft tissue thickness based on near infrared (NIR) laser measurements.By using this estimation, our goal is to develop an improved non-invasive marker-less optical tracking system for cranial radiation therapy.Results are presented for three subjects and reveal an RMS error of less than 0.34 mm.

View Article: PubMed Central - HTML - PubMed

Affiliation: University of Lübeck, Institute for Robotics and Cognitive Systems.

ABSTRACT
This work presents a new method for the accurate estimation of soft tissue thickness based on near infrared (NIR) laser measurements. By using this estimation, our goal is to develop an improved non-invasive marker-less optical tracking system for cranial radiation therapy. Results are presented for three subjects and reveal an RMS error of less than 0.34 mm.

No MeSH data available.


Related in: MedlinePlus