Symposium



Tissue Classification for PET/MR MR-based Attenuation Correction Using Zero-echo Time (ZTE) MRI


Presenting Author Senior Author
Name: Andrew Leynes Name: Peder Larson
Email: Andrew.Leynes@ucsf.edu Email: Peder.Larson@ucsf.edu
Presenting Author’s RIG/SRG: MRI/MRS  
Presenting Author's Lab Location: Mission Bay   

Abstract Information
Imaging Modality: MR
Disease Application:
Complete author list: Andrew Leynes, Peder Larson
Abstract highlights: A pseudo-CT image, with all necessary tissue classifications (bone, air, fat, water), was generated using only a single ZTE image.
 
Introduction
To reduce errors in the PET image reconstruction, all tissue types need to be accounted for. Current sequence-based methods to generate an MR-derived attenuation map are unable to account for all tissue classes. Recent work has demonstrated that there is phase contrast in ultrashort echo time (UTE) or zero echo time (ZTE) images that would allow classification of all necessary tissue classes (bone, air, fat, and water) from only a single ZTE scan.
 
Methods
Images of the pelvis were acquired using the ZTE pulse sequence. Different methods were used to segment the different tissue classes and a pseudo-CT image was generated from a single ZTE image.
 
Results
Qualitative comparison of the ZTE-derived pseudo-CT with CT and Dixon pseudo-CT images presented similar classification results.
 
Conclusions
Preliminary results demonstrate that bone, air, fat, and water are able to be classified using only a single ZTE scan.