1. Annual storage fee, $450/100GB/year internal UNC user, $800/100GB/year external user
-Initial user setup and training
-Troubleshooting
-Daily data backup
2. Annual computational server user fee for investigators who need ongoing access to the server. There are two levels of service, Tier 1 and Tier 2:
• Tier 1, $5,000/year internal UNC user, $7,500/year external user
-Initial user setup and training
-Troubleshooting
-Use of center workstations
-Ongoing user support and training
• Tier 2, $3,000/year internal UNC user, $4,600/year external user
- Initial user setup and training
- Troubleshooting
3. Short term computational server user fee for investigators who need short term access to the server. There are two plans, Monthly and Bi-weekly:
• Monthly, $800/month internal UNC user, $1,200/month external user
- Initial user setup and training
- Troubleshooting
- Use of center workstations
- User support
• Bi-weekly, $500/2 weeks internal UNC user, $750/2 weeks external user
- Initial user setup and training
- Troubleshooting
- Use of center workstations
- User support
Sample charge for a UNC investigator requiring 500 GB of storage space, and annual Tier 1 computational server access (will do their own data analysis using the center workstations):
Storage, 500 GB x $450/100GB = $2,250
Computational Tier 1, Annual= $5,000
Total annual charge $7,250
Sample charge for a UNC investigator with a short term project requiring 100 GB of storage space for two months, 1 Month of computational server access, and 80 hours of Data Analysis:
Storage, (100 GB x $450/GB)/6= $75
Computational, Monthly, 1 x $800/month= $800
Data Analysis, 80 hours x $75/hour= $6,000
Total charge $6,875
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.
• 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.
• Heart
- Accurate cardiac motion estimation by 4D registration method;
- 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.
• Femur bone
- Atlas construction;
- 2D to 3D registration.
Research Services
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