Biomedical subjects

Horace H S Ip

Publications and source records attributed to Horace H S Ip.

5 recordsLinked to original sources

PubMed2005

Reconstruction and representation of caudal vasculature of zebrafish embryo from confocal scanning laser fluorescence microscopic images.

Three-dimensional (3D) reconstruction from a series of sections is an important technique in medical imaging, particularly for visualization of blood vessels from angiography. Here, we present a framework for automatic segmentation and registration of different kind of blood vessels from 2-day-old zebrafish embryos. Series of optical sections were acquired from confocal microscopy with the blood vessels labeled by fluorescent microbeads (0.02 microm) injected into blood stream of 2-day-old zebrafish embryos. Blood vessels were extracted and their morphological parameters, including length and diameter, were calculated. At the same time, individual blood vessels were registered automatically. Vasculature was represented by attributed vessel represent graph (AVRG), which contained morphological data and connectivity of every blood vessel. Using AVRG to represent a vasculature made the comparison between vasculatures of different embryos more easy. Visualization, as well as quantification, of reconstructed 3D model of AVRG was presented in an interactive interface. The framework was implemented by Visual C++ as Windows-based program.

Animals↗

PubMed2005

Iterative 3D point-set registration based on hierarchical vertex signature (HVS).

Robust 3D point registration is difficult for biomedical surfaces, especially for roundish and approximate symmetric soft tissues such as liver, stomach, etc. We present an Iterative Optimization Registration scheme (IOR) based on Hierarchical Vertex Signatures (HVS) between point-sets of medical surfaces. HVSs are distributions of concatenated neighborhood angles relative to the PCA axes of the surfaces which concisely describe global structures and local contexts around vertices in a hierarchical paradigm. The correspondences between point-sets are then established by Chi-Square test statistics. Specifically, to alleviate the sensitivity to axes directions that often affects robustness for other global axes based algorithms, IOR aligns surfaces gradually, and incrementally calibrates the directions of major axes in a multi-resolution manner. The experimental results demonstrate IOR is efficient and robust for liver registration. This method is also promising to other applications such as morphological pathological analysis, 3D model retrieval and object recognition.

Algorithms↗

PubMed2005

Zeroing polynomials using modified constrained neural network approach.

This paper proposes new modified constrained learning neural root finders (NRFs) of polynomial constructed by backpropagation network (BPN). The technique is based on the relationships between the roots and the coefficients of polynomial as well as between the root moments and the coefficients of the polynomial. We investigated different resulting constrained learning algorithms (CLAs) based on the variants of the error cost functions (ECFs) in the constrained BPN and derived a new modified CLA (MCLA), and found that the computational complexities of the CLA and the MCLA based on the root-moment method (RMM) are the order of polynomial, and that the MCLA is simpler than the CLA. Further, we also discussed the effects of the different parameters with the CLA and the MCLA on the NRFs. In particular, considering the coefficients of the polynomials involved in practice to possibly be perturbed by noisy sources, thus, we also evaluated and discussed the effects of noises on the two NRFs. Finally, to demonstrate the advantage of our neural approaches over the nonneural ones, a series of simulating experiments are conducted.

Algorithms↗

PubMed2004

A relational-tubular (ReTu) deformable model for vasculature quantification of zebrafish embryo from microangiography image series.

Embryonic cardiovascular system plays a vital role in embryonic development of human and animal. In this work, we introduce a novel deformable model, which we called Relational-tubular (ReTu) deformable model for segmenting and quantifying the embryonic vasculature of zebrafish embryo from microangiography image series. Particularly, to incorporate additional constraints on the spatial relationships among vessel branches, we introduce a new energy term called relation energy into the model energy function. This energy item acts as a repulsion force between neighboring vessels during the deformation to encourage them to move towards their respective volume data. Using the ReTu deformable model, the deformation process is an iterative two-stage procedure: vascular axis deformation and vascular surface deformation. The efficiency and robustness of this approach are demonstrated by experiments which show that satisfactory quantifications of the vasculature can be obtained after 3-4 iterations.

Angiography↗

PubMed2003

Histological image retrieval based on semantic content analysis.

The demand for automatically recognizing and retrieving medical images for screening, reference, and management is growing faster than ever. In this paper, we present an intelligent content-based image retrieval system called I-Browse, which integrates both iconic and semantic content for histological image analysis. The I-Browse system combines low-level image processing technology with high-level semantic analysis of medical image content through different processing modules in the proposed system architecture. Similarity measures are proposed and their performance is evaluated. Furthermore, as a byproduct of semantic analysis, I-Browse allows textual annotations to be generated for unknown images. As an image browser, apart from retrieving images by image example, it also supports query by natural language.

Diagnostic Imaging↗