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Updated: Jun 8, 2026
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Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images
Published on: November 20, 2015
High-Resolution MRI Using Artificial Intelligence-Assisted Acceleration and Radial Dynamic Contrast Enhancement for
Shanshan Liu1, Xuwen Zhang2, Qiang Fang2
1From the Department of Radiology (S.L.), The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.
AJNR. American Journal of Neuroradiology
|February 9, 2026
Summary
Artificial intelligence-assisted compressed sensing (ACS) significantly enhances MRI image quality and pituitary microadenoma detection for Cushing's disease. This advanced imaging improves diagnostic accuracy without increasing scan times, aiding surgical planning.
Area of Science:
- Radiology
- Medical Imaging
- Artificial Intelligence
Background:
- Accurate detection of pituitary microadenomas is crucial for Cushing's disease (CD) diagnosis and treatment.
- Conventional MRI often suffers from limited resolution and thick slices, potentially missing lesions and hindering surgical planning.
Purpose of the Study:
- To evaluate the diagnostic utility of artificial intelligence-assisted compressed sensing (ACS) combined with DCE-MRI (uCSR) for improved spatial resolution and lesion detection in CD.
- To assess if ACS and uCSR can enhance imaging without prolonging scan times.
Main Methods:
- Prospective study of 61 surgically confirmed CD patients.
- Comparison of conventional MRI sequences with ACS-accelerated sequences (T1WI-C, T2WI, delayed FLAIR) and DCE-MRI using uCSR.
- Evaluation of image quality, lesion detection rates, and pharmacokinetic parameters.
Main Results:
- ACS-T1WI-C and ACS-T2WI demonstrated significantly higher image clarity and contrast-to-noise ratios compared to conventional sequences.
- The combination of ACS-T1WI-C and delayed FLAIR achieved high sensitivity (94.9%) and specificity (93.5%) in detecting all 71 identified lesions.
- Pharmacokinetic analysis revealed significant differences in parameters (Ktrans, Kep) between ACTH-secreting adenomas and other lesion types.
Conclusions:
- ACS significantly enhances image quality and lesion detection for Cushing's disease, offering high-resolution imaging without extended acquisition times.
- uCSR-based DCE-MRI aids in differentiating lesion types, improving preoperative localization and diagnostic accuracy.
