Three types of the serial segmented images suitable for surface reconstruction

Area of Science:

• Medical Imaging
• Computer Graphics
• Anatomical Modeling

Background:

• Interactive simulation systems require real-time manipulable stereoscopic surface models of human organs for clinical practice.
• Objective surface models are generated from serial outlines of anatomical structures followed by surface reconstruction.

Purpose of the Study:

• To evaluate the advantages of three segmented image types (outlined, white-filled, color-filled) for surface reconstruction.
• To demonstrate the utility of these models for clinical simulations.

Main Methods:

• Utilized serial sectioned images of a male cadaver head (91 structures, 234 outlined images).
• Converted outlined images into white-filled and color-filled formats, with reversible conversion.
• Employed animation and compatible software packages for 3D model generation.

Main Results:

• Outlined images serve as a source for both surface and volume models.
• White-filled images offer minimal file size, ideal for reconstructing individual structures.
• Color-filled images facilitate simultaneous recognition of multiple structures for constructing several surface models.

Conclusions:

• Different segmented image types offer distinct benefits for 3D anatomical model reconstruction.
• The generated 3D surface models, along with source images, can enhance clinical simulations.
• This methodology empowers researchers to develop their own three-dimensional anatomical models.