Correction to: Image registration in dynamic renal MRI-current status and prospects

Area of Science:

• Medical Imaging
• Radiology
• Image Processing

Background:

• Dynamic renal MRI is essential for assessing kidney function and disease.
• Accurate image registration is critical for analyzing temporal changes in renal MRI.
• Existing registration methods face challenges in dynamic and deformable scenarios.

Purpose of the Study:

• To provide a comprehensive overview of the current status of image registration in dynamic renal MRI.
• To identify and discuss the prospects and future directions for image registration techniques in this field.

Main Methods:

• Literature review of established and emerging image registration algorithms.
• Analysis of techniques applied to dynamic renal MRI datasets.
• Discussion of challenges and potential solutions for motion correction and inter-frame alignment.

Main Results:

• Several image registration techniques are applicable to dynamic renal MRI, each with specific advantages and limitations.
• Deformable registration methods show promise for handling complex kidney motion.
• The field requires further development to address artifacts and improve accuracy.

Conclusions:

• Image registration is a vital component for quantitative analysis in dynamic renal MRI.
• Continued research into advanced registration algorithms is necessary to enhance diagnostic capabilities.
• Future prospects include integration with AI for automated and robust registration.