Modeling prostate anatomy from multiple view TRUS images for image-guided HIFU therapy.

Area of Science:

• Medical imaging
• Computational anatomy
• Oncology

Background:

• Current prostate cancer treatment planning using transrectal ultrasound (TRUS) requires extensive manual segmentation of 15-20 images.
• Reducing user interaction time is crucial for improving the efficiency of high-intensity focused ultrasound (HIFU) treatment planning.

Purpose of the Study:

• To develop a novel method for generating accurate 3D models of the prostate, urethra, and rectal wall from limited TRUS boundary trace data.
• To automate treatment site generation using segmented anatomical structures, thereby reducing manual effort.

Main Methods:

• A new surface modeling technique utilizing the Fourier ellipsoid was developed.
• Boundary trace data from a minimal number of sector (5) and linear (3) TRUS images were used for modeling.
• 3D models of the prostate, urethra, and rectal wall were generated.

Main Results:

• The developed method effectively generates solid 3D models of key prostate anatomy.
• It overcomes limitations of previous prostate modeling approaches.
• The technique uses a reduced number of TRUS images compared to current standards.

Conclusions:

• The new 3D modeling approach enables automated treatment planning for prostate cancer.
• It allows for more precise control of energy deposition in HIFU therapy.
• This method has the potential to improve treatment selectivity and spare surrounding healthy tissues.