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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

2D projection of the matching between the MRI scan (top) and NIR scan (bottom) for Subject 1.The MRI scan contains the thickness of the soft tissue, and the NIR scan contains one of the acquired NIR features. The blue landmarks are provided for orientation.
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FIG3: 2D projection of the matching between the MRI scan (top) and NIR scan (bottom) for Subject 1.The MRI scan contains the thickness of the soft tissue, and the NIR scan contains one of the acquired NIR features. The blue landmarks are provided for orientation.

Mentions: The matching result for Subject 1 is presented in Figure 3. It is important to consider that the color code for the MRI represents the extracted tissue thickness, whereas the color code for the NIR scan represents the reflectivity. Both are negatively correlated as shown by Wissel, et al. [7]. Subcutaneous structures are partially visible in both scans and marked by artificial landmarks (Figure 3). The influence of the incident angle of the laser beam can be seen in the outer regions of the NIR scan. The angular influence leads to darker regions in the NIR scan as published by Stüber, et al. [8].


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)

2D projection of the matching between the MRI scan (top) and NIR scan (bottom) for Subject 1.The MRI scan contains the thickness of the soft tissue, and the NIR scan contains one of the acquired NIR features. The blue landmarks are provided for orientation.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

FIG3: 2D projection of the matching between the MRI scan (top) and NIR scan (bottom) for Subject 1.The MRI scan contains the thickness of the soft tissue, and the NIR scan contains one of the acquired NIR features. The blue landmarks are provided for orientation.
Mentions: The matching result for Subject 1 is presented in Figure 3. It is important to consider that the color code for the MRI represents the extracted tissue thickness, whereas the color code for the NIR scan represents the reflectivity. Both are negatively correlated as shown by Wissel, et al. [7]. Subcutaneous structures are partially visible in both scans and marked by artificial landmarks (Figure 3). The influence of the incident angle of the laser beam can be seen in the outer regions of the NIR scan. The angular influence leads to darker regions in the NIR scan as published by Stüber, et al. [8].

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