A level set based algorithm to reconstruct the urinary bladder from multiple views
Zhen Ma, Renato Natal Jorge, Teresa Mascarenhas, João Manuel R. S. Tavares · Medical Engineering & Physics · 2013
The urinary bladder can be visualized from different views by imaging facilities such as computerized tomography and magnetic resonance imaging. Multi-view imaging can present more details of this pelvic organ and contribute to a more reliable reconstruction. Based on the information from multi-view planes, a level set based algorithm is proposed to reconstruct the 3D shape of the bladder using the cross-sectional boundaries. The algorithm provides a flexible solution to handle the discrepancies from different view planes and can obtain an accurate bladder surface with more geometric details.