Sep 25, 2019 06:48 PM
by McGEvan
Hi, all. We are hoping to measure objects in ultrasounds from a variety of manufacturers and many with different scales/resolutions (where 15 pixels on one image is equivalent to 1 mm, for example, while 15 pixels on another image is equivalent to 1.5 mm). When we attempt to do this in batches in a Python environment, we get significant image distortion using PhysicalDeltaX*Columns for the new x dimension and PhysicalDeltaY*Rows for the new y dimension. The rescaled images seem distorted, stretched, and unusable. However, RadiAnt seems to be able to accurately resize and measure regardless of the native image resolution. Does anyone know how RadiAnt calculates "true" millimeter measurements? What DICOM variables is it incorporating? Thanks!