Biomedical Research Imaging Center - UNC School of Medicine
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Image Analysis
The image analysis core in BRIC serves to develop new tools for image analysis and to support the image storage and analysis needs of scientists who use the BRIC facilities. The image analysis services available are listed below.
• Brain
- Automated brain tissue segmentation for gray matter, white matter, CSF, and/or lesions;
- Automated brain image labeling and spatial normalization;
- Atlas building;
- Cortical surface reconstruction, labeling, and thickness analysis;
- Group analysis;
- Longitudinal brain development and aging study;
- Diffusion tensor image analysis: fiber tracking, atlas building, and tensor-based disease diagnosis;
- Identification of subtle brain structural differences in a wide variety of brain pathologies, by using multivariate high-dimensional pattern analysis method.
- Automated brain image labeling and spatial normalization;
- Atlas building;
- Cortical surface reconstruction, labeling, and thickness analysis;
- Group analysis;
- Longitudinal brain development and aging study;
- Diffusion tensor image analysis: fiber tracking, atlas building, and tensor-based disease diagnosis;
- Identification of subtle brain structural differences in a wide variety of brain pathologies, by using multivariate high-dimensional pattern analysis method.
• Chest
- Segmentation of chest and other boundaries from x-ray images or others;
• Breast cancer
- Automated segmentation of parenchyma or tumor regions;
- Separation between benign cancer and malignant cancer;
- Registration between multimodality breast images, or consistent alignment of different time images.
- Separation between benign cancer and malignant cancer;
- Registration between multimodality breast images, or consistent alignment of different time images.
• Heart
- Accurate cardiac motion estimation by 4D registration method;
- Detection of early-stage cardiac diseases using both structural and functional information.
- Detection of early-stage cardiac diseases using both structural and functional information.
• Prostate cancer
- Optimal needle biopsy for cancer detection;
- Segmentation of prostate from ultrasound, CT, and MR images using deformable appearance and shape models;
- Registration between histological and MR images of prostate;
- In vivo detection of suspicious caner tissues for biopsy needle guidance.
- Segmentation of prostate from ultrasound, CT, and MR images using deformable appearance and shape models;
- Registration between histological and MR images of prostate;
- In vivo detection of suspicious caner tissues for biopsy needle guidance.
• Femur bone
- Atlas construction;
- 2D to 3D registration.
- 2D to 3D registration.