Clinical Assessment of MR-Guided 3-Class and 4-Class Attenuation Correction in PET/MR

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• 作者：Hossein Arabi ; Olivier Rager ; Asma Alem ; Arthur Varoquaux…
• 关键词：PET/MRI ; PET/CT ; Attenuation correction ; SUV ; Quantification
• 刊名：Molecular Imaging and Biology
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：17
• 期：2
• 页码：264-276
• 全文大小：4,260 KB
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• 刊物主题：Imaging / Radiology;
• 出版者：Springer US
• ISSN：1860-2002

文摘

Purpose We compare the quantitative accuracy of magnetic resonance imaging (MRI)-based attenuation correction (AC) using the 3-class attenuation map (PET-MRAC3c) implemented on the Ingenuity TF PET/MRI and the 4-class attenuation map (PET-MRAC4c) similar to the approach used on the Siemens mMR PET/MR considering CT-based attenuation-corrected PET images (PET-CTAC) as standard of reference. Procedures Fourteen patients with malignant tumors underwent whole-body sequential 2-deoxy-2-[18F]fluoro-d-glucose (18F-FDG) positron emission tomography (PET)/X-ray computed tomography (CT) and PET/MR imaging. A 3-class attenuation map was obtained from segmentation of T1-weighted MR images followed by assignment of attenuation coefficients (air 0?cm?, lung 0.022?cm?, soft tissue 0.096?cm?), whereas a 4-class attenuation map was derived from a MR Dixon sequence (air 0?cm?, lung 0.018?cm?, fat 0.086?cm?, soft tissue 0.096?cm?). Additional adipose tissue class and inner body air cavities (e.g., sinus and abdomen) were also considered. Different attenuation coefficients were assigned to the lungs since the two techniques were implemented as they were proposed without any modification. Standardized uptake value (SUV)mean and SUVmax metrics were calculated for volumes of interest in various organs/tissues and malignant lesions. Well-established metrics were used for the analysis of SUVs estimated using both PET-MRAC techniques and PET-CTAC including relative error, Spearman rank correlation, and Bland and Altman analysis. Results PET-MRAC3c and PET-MRAC4c revealed significant underestimation of SUV for normal organs (?7.4?±-.5 and ?2.0?±-.8?%, respectively) compared to PET-CTAC. Lesions-SUV presented the same trend with larger underestimation for PET-MRAC4c (?.2?±-.1?%) compared to PET-MRAC3c (?.9?±-.0). The different attenuation coefficients assigned to the lungs with both techniques resulted in significant positive bias on PET-MRAC3c (18.6?±-5.3?%) and low negative bias on PET-MRAC4c (?.5?±-3.3?%). Both approaches yielded the largest differences in and near bony structures. Despite the large bias, there was good correlation between PET-MRAC3c (R--.97, P--.01) and PET-CTAC, and PET-MRAC4c (R--.97, P--.01) and PET-CTAC, respectively. Conclusions PET-MRAC3c resulted in significant systematic positive bias in the lungs owing to the lower attenuation coefficient used and negative bias in other regions. PET-MRAC4c slightly underestimated tracer uptake in the lungs and led to even larger negative bias than PET-MRAC3c in other body regions. The presence of artifacts in the MRAC might lead to misinterpretation of clinical studies. As such, the attenuation map needs to be checked for artifacts as part of the reading procedure to avoid misinterpretation of SUV measurements.