Clinical Impact of Respiratory Motion Correction in Simultaneous PET/MR, Using a Joint PET/MR Predictive Motion Model
Richard Manber1, Kris Thielemans2, Brian F Hutton2,3
1Centre for Medical Imaging, Division of Medicine, University College London, London, United Kingdom manber.richard@gmail.com.
Abstract:
In PET imaging, patient motion due to respiration can lead to artifacts and blurring, in addition to quantification errors. The integration of PET imaging with MRI in PET/MRI scanners provides spatially aligned complementary clinical information and allows the use of high-contrast, high-spatial-resolution MR images to monitor and correct motion-corrupted PET data. On a patient cohort, we tested the ability of our joint PET/MRI-based predictive motion model to correct respiratory motion in PET and show it can improve lesion detectability and quantitation and reduce image artifacts. Methods: Using multiple tracers and multiple organ locations, we applied our motion correction method to 42 clinical PET/MRI patient datasets containing 162 PET-avid lesions. Quantitative changes were calculated using SUV changes in avid lesions. Lesion detectability changes were explored with a study in which 2 radiologists identified lesions in uncorrected and motion-corrected images and provided confidence scores. Results: Mean increases of 12.4% for SUVpeak and 17.6% for SUVmax after motion correction were found. In the detectability study, confidence scores for detecting avid lesions increased, with a rise in mean score from 2.67 to 3.01 (of 4) after motion correction and a rise in detection rate from 74% to 84%. Of 162 confirmed lesions, 49 showed an increase in all 3 metrics-SUVpeak, SUVmax, and combined reader confidence score-whereas only 2 lesions showed a decrease. We also present clinical case studies demonstrating the effect that respiratory motion correction of PET data can have on patient management, with increased numbers of detected lesions, improved lesion sharpness and localization, and reduced attenuation-based artifacts. Conclusion: We demonstrated significant improvements in quantification and detection of PET-avid lesions, with specific case study examples showing where motion correction has the potential to affect diagnosis or patient care.
Insights
Respiratory motion correction in PET/MRI scans significantly improves lesion detection and quantification. This advanced technique reduces artifacts, enhancing diagnostic accuracy and potentially impacting patient care by providing clearer PET imaging results.
Area of Science:
- Medical Imaging
- Radiology
- Nuclear Medicine
Background:
- Patient motion during Positron Emission Tomography (PET) imaging, particularly respiratory motion, introduces artifacts, blurring, and quantification errors.
- Integrated PET/MRI scanners offer spatially aligned, high-resolution MRI data that can be leveraged to monitor and correct PET data corrupted by motion.
Purpose of the Study:
- To evaluate a joint PET/MRI-based predictive motion model for correcting respiratory motion in PET imaging.
- To demonstrate the model's ability to improve lesion detectability, quantification accuracy, and reduce image artifacts in clinical PET/MRI datasets.
Main Methods:
- Applied a motion correction method to 42 clinical PET/MRI patient datasets with 162 PET-avid lesions using multiple tracers and organ locations.
- Quantitative analysis involved calculating Standardized Uptake Value (SUV) changes in lesions.
- Lesion detectability was assessed by two radiologists evaluating uncorrected versus motion-corrected images and providing confidence scores.
Main Results:
- Motion correction resulted in mean increases of 12.4% for SUVpeak and 17.6% for SUVmax.
- Radiologist confidence scores rose from 2.67 to 3.01 (on a scale of 4), and lesion detection rates increased from 74% to 84%.
- Out of 162 lesions, 49 showed improvement in SUVpeak, SUVmax, and reader confidence, while only 2 showed a decrease.
Conclusions:
- The study demonstrated significant improvements in the quantification and detection of PET-avid lesions through motion correction.
- Clinical case studies highlighted the potential of this technique to affect patient management by improving lesion visualization and reducing artifacts.
- Respiratory motion correction in PET/MRI has the potential to enhance diagnostic accuracy and influence patient care decisions.
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