diff --git a/README.rst b/README.rst index 081e9ac..d9ba498 100644 --- a/README.rst +++ b/README.rst @@ -3,6 +3,7 @@ Low Contrast Detectability for CT Toolbox ========================================= + **Low Contrast Detectability for CT (LCD-CT) Toolbox** provides a common interface to evaluate the low contrast detectability (LCD) performance of advanced nonlinear CT image reconstruction and denoising algorithms. The toolbox uses model observers (MO) to evaluate the LCD of targets with known locations in test images obtained with the `MITA-LCD phantom `_. The model oberver detection accuracy is measured by the area under the receiver operating characteristic curve (AUC) and the detectability signal-to-noise ratio (d’_{snr}). The LCD-CT toolbox can be used by CT developers to perform initial evaluation on image quality impprovement or dose reduction potential of their reconstruction and denoising algorithms. .. image:: diagram.png @@ -18,8 +19,6 @@ Features - Simuating sinogram and generate fan-beam CT scans of the digital phantoms based on the publicly available Michigan Image Reconstruction Tolbox (MIRT) https://github.com/JeffFessler/mirt. - Estimating low contrast detectability performance from the MITA-LCD phantom CT images using channelized Hoteling model observer with Laguerre-Gauss (LG) channels and two options of Difference-of-Gaussian (DOG) channels and Gabor channels. - - Start Here ---------- diff --git a/test.m b/test.m index 88301a9..09d0ef7 100644 --- a/test.m +++ b/test.m @@ -1,11 +1,14 @@ % This is the test script where all functionality of LCD-CT is tested. If the script runs to completion without error the tool is ready for use addpath('additional_demos') +addpath(genpath('src/LCD')) use_large_dataset = false -if verLessThan('matlab', '9.1') - error(['Detected version of Matlab: ', version('-release'), ' < ', '(2016b)']) +if ~is_octave + if verLessThan('matlab', '9.1') + error(['Detected version of Matlab: ', version('-release'), ' < ', '(2016b)']) + end end demo_test_phantomcreation