ROI analysis of abdominal aortic aneurysm

This data is used to compare three different positron emission tomography (PET) image reconstruction algorithms: ordered subsets expectation maximisation (OSEM), kernelised expectation maximisation (KEM) and Hybrid KEM (HKEM). There are two csv files, one contains the data from 61 patients with abdominal aortic aneurysm (AAA) and the other contains the data from 11 control subjects. There are three different regions of interest (ROIs): the aneurysm (AAA), the healthy aorta (aorta) and the vena cava (pool).

these files can be read from any software such as R, excel, python etc.

an example on how to read the data on R is the following:

s<- read.csv(file = 'TotROI_list', header = F,sep =",", comment.char = "#" )
colnames(s) <- c("Patient_ID","Algorithm","neighbours","sm","sp","sdm","sdp","Subiteration","ROI", "Mean", "SD","Max","Min", "CoV","Volume")

the columns are organised as follows:

Patient_ID, Algorithm, neighbours, sigma_m, sigma_p, sigma_dm, sigma_dp, Subiteration, ROI, Mean value, Standard Deviation, Max value, Min value, Coefficient of Variation, Volume (number of voxels)