TY - JOUR
T1 - Automatic correction of dental artifacts in PET/MRI
AU - Ladefoged, Claes N
AU - Littrup Andersen, Flemming
AU - Keller, Sune H
AU - Beyer, Thomas
AU - Law, Ian
AU - Højgaard, Liselotte
AU - Darkner, Sune
AU - Lauze, Francois
PY - 2015/4
Y1 - 2015/4
N2 - A challenge when using current magnetic resonance (MR)-based attenuation correction in positron emission tomography/MR imaging (PET/MRI) is that the MRIs can have a signal void around the dental fillings that is segmented as artificial air-regions in the attenuation map. For artifacts connected to the background, we propose an extension to an existing active contour algorithm to delineate the outer contour using the nonattenuation corrected PET image and the original attenuation map. We propose a combination of two different methods for differentiating the artifacts within the body from the anatomical air-regions by first using a template of artifact regions, and second, representing the artifact regions with a combination of active shape models and k-nearest-neighbors. The accuracy of the combined method has been evaluated using 25 [Formula: see text]-fluorodeoxyglucose PET/MR patients. Results showed that the approach was able to correct an average of [Formula: see text] of the artifact areas.
AB - A challenge when using current magnetic resonance (MR)-based attenuation correction in positron emission tomography/MR imaging (PET/MRI) is that the MRIs can have a signal void around the dental fillings that is segmented as artificial air-regions in the attenuation map. For artifacts connected to the background, we propose an extension to an existing active contour algorithm to delineate the outer contour using the nonattenuation corrected PET image and the original attenuation map. We propose a combination of two different methods for differentiating the artifacts within the body from the anatomical air-regions by first using a template of artifact regions, and second, representing the artifact regions with a combination of active shape models and k-nearest-neighbors. The accuracy of the combined method has been evaluated using 25 [Formula: see text]-fluorodeoxyglucose PET/MR patients. Results showed that the approach was able to correct an average of [Formula: see text] of the artifact areas.
U2 - 10.1117/1.JMI.2.2.024009
DO - 10.1117/1.JMI.2.2.024009
M3 - Journal article
C2 - 26158104
SN - 2329-4302
VL - 2
SP - 024009
JO - Journal of medical imaging (Bellingham, Wash.)
JF - Journal of medical imaging (Bellingham, Wash.)
IS - 2
ER -