Tissue segmentation from head MRI: a ground truth validation for feature-enhanced tracking

Accuracy is essential for optical head-tracking in cranial radiotherapy. Recently, the exploitation of local patterns of tissue information was proposed to achieve a more robust registration. Here, we validate a ground truth for this information obtained from high resolution MRI scans. In five subje...

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Published inCurrent directions in biomedical engineering Vol. 1; no. 1; pp. 228 - 231
Main Authors Wissel, Tobias, Stüber, Patrick, Wagner, Benjamin, Schweikard, Achim, Ernst, Floris
Format Journal Article
LanguageEnglish
Published De Gruyter 01.09.2015
Subjects
marker-less tracking
MRI
radiotherapy
segmentation
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ISSN2364-5504
2364-5504
DOI10.1515/cdbme-2015-0057

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Abstract Accuracy is essential for optical head-tracking in cranial radiotherapy. Recently, the exploitation of local patterns of tissue information was proposed to achieve a more robust registration. Here, we validate a ground truth for this information obtained from high resolution MRI scans. In five subjects we compared the segmentation accuracy of a semi-automatic algorithm with five human experts. While the algorithm segments the skin and bone surface with an average accuracy of less than 0.1 mm and 0.2 mm, respectively, the mean error on the tissue thickness was 0.17 mm. We conclude that this accuracy is a reasonable basis for extracting reliable cutaneous structures to support surface registration.
AbstractList Accuracy is essential for optical head-tracking in cranial radiotherapy. Recently, the exploitation of local patterns of tissue information was proposed to achieve a more robust registration. Here, we validate a ground truth for this information obtained from high resolution MRI scans. In five subjects we compared the segmentation accuracy of a semi-automatic algorithm with five human experts. While the algorithm segments the skin and bone surface with an average accuracy of less than 0.1 mm and 0.2 mm, respectively, the mean error on the tissue thickness was 0.17 mm. We conclude that this accuracy is a reasonable basis for extracting reliable cutaneous structures to support surface registration.
Author Wissel, Tobias
Schweikard, Achim
Stüber, Patrick
Ernst, Floris
Wagner, Benjamin
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SubjectTerms marker-less tracking
MRI
radiotherapy
segmentation
Title Tissue segmentation from head MRI: a ground truth validation for feature-enhanced tracking
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