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In three cases, the ROI could not be accurately followed through the image series (all these tumours were 3 cm or smaller) and in the other case the imaging slice was planned using a breath hold image rather than during gentle respiration, causing misregistration of a 3.1-cm tumour.
The normalised x and y gradient of this 'static' image, S, is calculated outside of the image series loop.
An initial reference image, R (x,y), is calculated by simply taking the mean through the image series.
To quantify the sample rotation and its correction, lattice angles were measured throughout the image series using the point projective standard deviation technique (PPSD) [30].
Figure 1b shows the averaged image after the image series was NR-registered, displaying the enhanced SNR ratio compared to the first frame.
For each image, this was then corrected to be brought to the mean of the median heights over the whole of the image series.
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A wide variety of methods have been proposed to eliminate the motion from the images series by image registration.
The images series were reconstructed to a final matrix size of 256 × 192 (3/4 phase FOV) using zero filling for interpolation.
A set of images (left column) was binarized (middle column) and individual images were super-imposed to create a color-coded overlay of the image-series (right image).
The blue plots in the first image series show that the degree of gloss decreased greatly in 20 seconds.
Regions of interest (ROIs) were traced over the treated and the control tumours using the last frame of the dynamic image series and applied to all frames.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com