pet2D: Simulated 2-dimensional PET data for control subjects.

In julia-wrobel/depthTests: Nonparametric Tests for Images based on Band Depth

Description

Simulated two-dimensional PET imaging data. The original data is proprietary, but consists of images from 39 control subjects and 29 subjects with major depressive disorder. The images represent maps of binding potential of 5- hydroxytryptamine (serotonin) 1A receptors (5-HT1A), which are thought to play an important role in major depressive disorder. We decomposed the 39 control subjects using principal components analysis (PCA). The data provided here are rebuilt from the resulting eigenvalues and eigenvectors of the PCA decomposition, along with randomly generated subject-specific scores.

Usage

data(pet2D)

Format

A matrix made up of

"pet2D"

A 7505 x 50 matrix of simulated PET data. Each column is a vector for one subject which represents a 95 x 79 pixel image. There are 50 subjects in total.

References

Parsey et al (2006). Altered Serotonin 1A Binding in Major Depression: A [carbonyl-C-11]WAY100635 Positron Emission Tomography Study Biological Psychiatry, Vol 59 Issue 2, 106 - 113.

@keywords datasets

Examples

## Not run: 

##### Convert 1st subject back to 95 x 79 pixel image 
data(pet2D)
image1 = matrix(pet2D[, 1], nrow = 95, ncol = 79)
image(image1)

## End(Not run)

       
##### 

julia-wrobel/depthTests documentation built on May 20, 2019, 4:20 a.m.