Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
International Journal of Computer Vision
Landmark-Based Image Analysis: Using Geometric and Intensity Models
Landmark-Based Image Analysis: Using Geometric and Intensity Models
Contour Continuity in Region Based Image Segmentation
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis
Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis
Machine Learning And Statistical Modeling Approaches To Image Retrieval (Kluwer International Series on Information Retrieval)
2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications
Volume Rendering Phenotype Differences in Mouse Placenta Microscopy Data
Computing in Science and Engineering
A prototype for unsupervised analysis of tissue microarrays for cancer research and diagnostics
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Image Processing
Multiscale Hybrid Linear Models for Lossy Image Representation
IEEE Transactions on Image Processing
Multi-scale characterization of the PEPCK-Cmus mouse through 3D Cryo-imaging
Journal of Biomedical Imaging
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Motivation: This paper presents a workflow designed to quantitatively characterize the 3D structural attributes of macroscopic tissue specimens acquired at a micron level resolution using light microscopy. The specific application is a study of the morphological change in a mouse placenta induced by knocking out the retinoblastoma gene. Result: This workflow includes four major components: (i) serial section image acquisition, (ii) image preprocessing, (iii) image analysis involving 2D pair-wise registration, 2D segmentation and 3D reconstruction, and (iv) visualization and quantification of phenotyping parameters. Several new algorithms have been developed within each workflow component. The results confirm the hypotheses that (i) the volume of labyrinth tissue decreases in mutant mice with the retinoblastoma (Rb) gene knockout and (ii) there is more interdigitation at the surface between the labyrinth and spongiotrophoblast tissues in mutant placenta. Additional confidence stem from agreement in the 3D visualization and the quantitative results generated. Availability: The source code is available upon request.