Downloads

The following is a collection of electronic resources provided by NA-MIC. This includes software, data, tutorials, presentations, and additional documentation.

Software

• Download Slicer
• Download the NA-MIC Kit, including Slicer

Data

	Brain: Multi-modality (sMRI, DTI, fMRI) There are 20 cases: ten are Normal Controls and ten are Schizophrenic. Each case includes a weighted T1 scan, a weighted T2 scan, an fMRI scan, a DTI volume, the DWI with 51 directions, and several masks and labelmaps. Available from Harvard.
	Brain: 2-4 Year Old Data for 2 autistic children and 2 normal controls (male, female) scanned at 2 years with follow up at 4 years from a 1.5T Siemens scanner. Files include structural data, tissue segmentation label map and subcortical structures segmentation. Available from UNC.
	Prostate: 5 cases Sagittal and axial scans, with and without needle. Available from Queens.
	Prostate: 10 cases MRI Prostate data. 10 datasets, including a derived segmentation series with labelmaps. Available from Harvard.
	Prostate: Transrectal Tutorial Dataset Transrectal Prostate Biopsy Tutorial Dataset. Walks the user through: Calibration (calibration image for the APT-MRI device), Segmentation (prostate MRI image and seeds for random walk segmentation algorithm), Targeting (target planning prostate MRI image), and Verification (needle insertion verification image). Available from Queens.
	Registration Case Library Home Page
	Spine Phantom: PerkStation Tutorial Dataset
	Visible Human Datasets
	Registration Library cases on NA-MIC Wiki Registration Library cases on the MIDAS database'

Tutorials

Tutorials for Biomedical Engineers and Clinical Research Users of the NA-MIC Kit

• Python Stochastic Tractography Module
• White Matter Lesion Classification
• Trans-rectal MR guided prostate biopsy and PerkStationSlicerTutorial
• ARCTIC: Automatic Regional Cortical ThICkness
• Confocal Microscopy
• Non-human Primates Segmentation Tutorial
• Hammer Registration for Brain MRI
• Centerline Extraction of Coronary Arteries using VMTK
• EM Fiber Clustering

Additional Tutorials

• Slicer Training