[A review on deformable model in medical image analysis]

Area of Science:

• Medical image analysis
• Computer vision
• Computational anatomy

Context:

• Deformable models are essential tools in medical imaging.
• Accurate analysis requires robust modeling techniques.
• Advancements in deformable models drive progress in clinical applications.

Purpose:

• To provide a comprehensive review of deformable models in medical image analysis.
• To highlight key applications including registration, motion tracking, segmentation, and shape modeling.
• To synthesize current research and identify future directions.

Summary:

• This review covers the fundamental principles of deformable models.
• It details their application in aligning medical images (registration).
• It explores their use in tracking tissue movement, segmenting organs, and creating shape models.

Impact:

• Enhanced understanding of deformable model capabilities.
• Facilitates improved diagnostic accuracy through better image analysis.
• Supports the development of advanced medical imaging software and techniques.