Objective To investigate the value of high-resolution magnetic resonance imaging (HR-MRI) image characteristics and quantitative parameters in predicting the risk of ischemic cerebral infarction, and analyze its influence on early clinical diagnosis. Methods This protocol was designed according to the method of controlled trial, prospective, single-blind, and single-center clinical study. A total of 83 patients with transient ischemic attack admitted to Liaocheng Third People's Hospital from March 2020 to March 2022 were selected for HR-MRI examination. According to whether ischemic cerebral infarction occurred within one week, they were divided into an occurrence group [32 patients, 18 males and 14 females, aged (64.81±7.36) years] and a non-occurrence group [51 patients, 28 males and 23 females, aged (65.14±7.53) years]. The HR-MRI image characteristics [plaque distribution and plaque characteristics (plaque area and plaque load)], HR-MRI quantitative parameters [area of the narrowest part of blood vessel (VAMLN), vascular area (VAreference), wall area of the narrowest part of blood vessel (WAMLN), lumen area of the narrowest part of blood vessel (LAMLN), reference lumen area (LAreference), and stenosis rate], and reconstruction modes (reconstruction index, positive reconstruction, negative reconstruction, and no significant reconstruction) of the two groups were compared. χ2 test was used for plaque distribution and reconstruction mode, and t test for plaque characteristics and HR-MRI quantitative parameters. The receiver operating characteristic curve (ROC) was used to analyze the predictive value of HR-MRI image characteristics and quantitative parameters in the risk of ischemic cerebral infarction. Results The plaque area [(6.43±3.06) mm2] and plaque load [(29.17±7.42)%] in the occurrence group were higher than those in the non-occurrence group [(5.37±1.02) mm2 and (24.18±5.45)%], with statistically significant differences (t=2.287 and 3.525, both P<0.05). The positive reconstruction rate in the occurrence group [81.25% (26/32)] was higher than that in the non-occurrence group [52.94% (27/51)], with a statistically significant difference (χ2=6.827, P=0.009). The WAMLN [(12.04±2.02) mm2] and stenosis rate [(32.46±2.02)%] in the occurrence group were higher than those in the non-occurrence group [(10.63±1.41) mm2 and (21.20±1.35)%], while the LAMLN [(10.22±1.75) mm2] was lower than that in the non-occurrence group [(11.96±2.07) mm2], with statistically significant differences (t=3.744, 30.462, and 3.949, all P<0.001). The areas under the curve (AUCs) of plaque area, plaque load, WAMLN, LAMLN, and stenosis rate for predicting ischemic cerebral infarction were 0.839 (95%CI 0.794-0.942), 0.706 (95%CI 0.598-0.820), 0.773 (95%CI 0.694-0.893), 0.819 (95%CI 0.809-0.894), and 0.812 (95%CI 0.731-0.910), all above 0.7. The AUC value [0.947 (95%CI 0.873-0.961)] of all indexes and parameters combined to predict the risk of ischemic cerebral infarction was the highest. Conclusion HR-MRI plaque area, plaque load, WAMLN, LAMLN, and stenosis rate have high predictive values for the risk of ischemic cerebral infarction, which is helpful for the early diagnosis and intervention of ischemic cerebral infarction.