Clinical management of patients with chest pain and elevation of biomarkers of myocardial injury require an accurate diagnosis. Until now, cardiac magnetic resonance imaging (cMRI) is the gold standard for the diagnosis among myocarditis, stress cardiomyopathy, or inapparent ischemic damage. The development of spectral CT has opened up the possibility of characterizing the coronary anatomy and the myocardium in a single procedure. Our aim is to assess the diagnostic ability of differential patterns in first- pass perfusion and delayed iodine enhancement obtained by spectral CT in patients with acute myocardial injury. This study is designed as a prospective multicenter observational study with diagnostic intervention in 150 patients admitted with clinical indication of a cMRI due to suspicion of myocardial infarction with normal coronary arteries (MINOCA), myocarditis or stress cardiomyopathy who will undergo a CT study with double detector technology in two reference centers. A control group (n=150) with an indication for cardiac CT for another cause without coronary or structural heart disease will be included. The iodine maps obtained by spectral CT will be compared with the findings obtained with cMRI, both with conventional techniques and with artificial intelligence algorithms (deep learning). A year follow-up of the cohort will be carried out to assess whether the findings derived from the CT in this group of patients provide prognostic information