Tissue Segmentation from Head MRI: A Ground Truth Validation for Feature-Enhanced Tracking

Achim Schweikard; Floris Ernst; Tobias Wissel; Patrick Stüber; Benjamin Wagner

doi:10.1515/bmt-2015-5008

Tissue Segmentation from Head MRI: A Ground Truth Validation for Feature-Enhanced Tracking

Achim Schweikard, Floris Ernst, Tobias Wissel, Patrick Stüber, Benjamin Wagner

Institute of Robotics and Cognitive Systems

Otto von Guericke University Magdeburg

3 Citations (Scopus)

Abstract

Marker-less optical tracking has been proposed to achieve robust target localization and sub-milimeter accuracy in cranial radiotherapy. Patterns of varying tissue thickness across the patient's forehead can be used as additional landmarks for point cloud registration. Here, we validate a ground truth for this information obtained from segmenting high resolution MRI scans.

Original language	English
Journal	Current Directions in Biomedical Engineering
Volume	1
Issue number	1
Pages (from-to)	S184
Number of pages	1
ISSN	2364-5504
DOIs	https://doi.org/10.1515/bmt-2015-5008
Publication status	Published - 01.09.2015

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abstract = "Marker-less optical tracking has been proposed to achieve robust target localization and sub-milimeter accuracy in cranial radiotherapy. Patterns of varying tissue thickness across the patient's forehead can be used as additional landmarks for point cloud registration. Here, we validate a ground truth for this information obtained from segmenting high resolution MRI scans.",

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AU - Stüber, Patrick

AU - Wagner, Benjamin

N1 - High-Accuracy Head Tracking

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AB - Marker-less optical tracking has been proposed to achieve robust target localization and sub-milimeter accuracy in cranial radiotherapy. Patterns of varying tissue thickness across the patient's forehead can be used as additional landmarks for point cloud registration. Here, we validate a ground truth for this information obtained from segmenting high resolution MRI scans.

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Tissue Segmentation from Head MRI: A Ground Truth Validation for Feature-Enhanced Tracking

Abstract

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