[A method for lung zone recognition in X-ray film]

Area of Science:

• Medical Imaging
• Computer Vision
• Anatomy

Background:

• Accurate lung zone identification in X-ray films is crucial for medical diagnosis.
• Existing methods may face challenges in computational efficiency and precision.

Purpose of the Study:

• To develop an automated method for recognizing lung zones in X-ray images.
• To improve the efficiency and accuracy of lung border detection.

Main Methods:

• Utilizing lung anatomy to define lung borders as parabolic and straight lines.
• Detecting feature points to determine line parameters for lung zone recognition.
• Implementing a coarse-to-fine strategy to reduce computational load.

Main Results:

• Successfully recognized lung zones in X-ray films based on anatomical features.
• The coarse-to-fine strategy demonstrated reduced computation.
• The method was validated in a practical application system.

Conclusions:

• The proposed method offers an effective approach for lung zone recognition in X-ray imaging.
• The anatomical line-based strategy combined with a coarse-to-fine approach enhances efficiency and accuracy.