nmt422q3

The correct method to subtract background ROI counts from organ ROI counts is by

Which type of ROI creation method is best suited for a MUGA study with poor red blood cell labeling?

Spatial smoothing may not be effective at the image frame edges because:

Negative value kernels' are used in:

A graph of counts along a line drawn through an image which demonstrates how counts rise and fall in the structure is called

The ability to detect small changes in radiopharmaceutical distribution over time is called:

All of the following are other terms for smoothing filter,

A NMT places a box telling the computer where the left ventricle is located in a MUGA study. The computer then generates the left ventricle volume curve from the identified area. The ROIs created in this case is an example of:

How is image contrast affected with spatial smoothing:

Automatic edge detection method can be used for getting count statistics in all of the following types of studies, EXCEPT:

'Negative value kernels' are used in: