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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: BACKGROUND, METHODS, RESULTS. Meshes: Adult, Algorithms, Female, Follow-Up Studies, Graft Rejection, Heart Transplantation, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Pattern Recognition, Automated, Reproducibility of Results, Retrospective Studies, Sensitivity and Specificity, Subtraction Technique, Treatment Outcome.
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Does nonrigid registration improve MRI T2 quantification in heart transplant patient follow-up? Context: To evaluate the use of a nonrigid registration technique for detecting acute heart transplant rejection by MRI T2 quantification. Myocardial T2 quantification was achieved in 279 consecutive examinations from 78 different patients. The protocol consisted of 10 successive black-blood fast spin echo sequences with varying echo times, and a postprocessing based on image registration and exponential fitting. An automatic nonrigid registration method was applied to correct for myocardium misalignment. Finally T2 values were compared with those obtained with a conventional rigid registration followed by manual correction. Nonrigid registration was feasible in 98% of the datasets and was judged of higher quality compared with conventional processing (P < 0.001). No significant difference was found in the clinical outcome (average septal T2 ) between nonrigid and conventional registration (P = 0.66). Interobserver variability was improved with 95% limits of agreement of 2.7 ms (against 3.7 ms with conventional registration). The quality of T2 fitting, as assessed by the coefficient of determination R(2) , was significantly improved (P < 0.001).
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Nonrigid registration improves T2 quantification in heart-transplant patient follow-up. Final Decision: yes