Biomedical subjects

Zhexing Liu

Publications and source records attributed to Zhexing Liu.

3 recordsLinked to original sources

PubMed2004

[Study of 3D visualization methods on PACS workstation].

Based on a discussion on PACS and the way its image workstation obtains scanned sequential images, this paper presented a method of 3D surface construction and visualization on PACS workstation. Guest/Server structure was used between PACS application entities. Image storing and transmission were realized by service classes established by DICOM standards. Relation database was used to arrange the stored sequential images. Image workstation transformed the sequential images obtained from PACS net into volume data field. 3D reconstruction and rendering results were obtained by using surface-rendering and volume-rendering methods, which made the 3D construction results acquire vivid 3D structure details of high fidelity and strong sense of reality. 3 sets of application results were also presented in this paper.

Humans↗

PubMed2003

[Medical image elastic registration smoothed by unconstrained optimized thin-plate spline].

Elastic registration of medical image is an important subject in medical image processing. Previous work has concentrated on selecting the corresponding landmarks manually and then using thin-plate spline interpolating to gain the elastic transformation. However, the landmarks extraction is always prone to error, which will influence the registration results. Localizing the landmarks manually is also difficult and time-consuming. We the optimization theory to improve the thin-plate spline interpolation, and based on it, used an automatic method to extract the landmarks. Combining these two steps, we have proposed an automatic, exact and robust registration method and have gained satisfactory registration results.

Algorithms↗

PubMed2002

[Registration and 3D rendering of serial tissue section images].

It is an important morphological research method to reconstruct the 3D imaging from serial section tissue images. Registration of serial images is a key step to 3D reconstruction. Firstly, an introduction to the segmentation-counting registration algorithm is presented, which is based on the joint histogram. After thresholding of the two images to be registered, the criterion function is defined as counting in a specific region of the joint histogram, which greatly speeds up the alignment process. Then, the method is used to conduct the serial tissue image matching task, and lies a solid foundation for 3D rendering. Finally, preliminary surface rendering results are presented.

Algorithms↗