Registration of serial tissue section images.

OBJECTIVE: This study aims to tackle the problem of image registration during computer-assisted three-dimensional (3D) reconstruction of serial tissue sections. METHODS: We proposed segmentation-counting algorithm for computerized image registration on the basis of joint histogram. This approach utilizes thresholding of the 2 images to be registered, and the criterion function is defined as the counting in a specific region of the joint histogram.

A method for three-dimensional surface reconstruction of volume data field.

Objective: To explore a novel method of three-dimensional (3D) reconstruction based on vector field smoothing, for the purpose of 3D surface reconstruction of DICOM format volume data sets.

Methods: 3D external surface of three sets of volume data, namely craniocerebral volume data, pelvis volume data, and rat embryo volume data, were respectively extracted by Marching Cubes algorithm using small triangle flakes to approach the original 3D structure surfaces. Vector field smoothing was performed on the extracted 3D surfaces.

Elastic registration of medical images through multiquadric method.

Objective: To improve the precision and reliability of elastic registration of the medical images and to simplify the registration process.

Methods: Previous study concerning elastic registration mostly focused on manual selection of the landmarks and then use of adequate interpolating for elastic transformation. The landmarks extraction, however, was prone to error that often showed impact on the registration results, besides the difficulty and time consumption of manual identification of the landmarks.