Abstract
The theoretical information content, defined by Shannon, is proposed as an objective measure of M R image quality. This measure takes into account the contrast-to-noise ratio (CNR),scan reso-
lution, and field of view. It is used to derive an optimum in the trade-off problem between image resolution and CNR, and as a criterion to assess the usefulness of high-resolution (512’) M R images. The result tells that, for a given total acquisition time, an optimum value of the
resolution can be found. This optimum is very broad. To apply Shannon’s theory on information content to M R images, a model for the spatial spectral power density of these images is required. Such a model has been derived from experimental observations of ordinary M R images, as well as from theoretical considerations.
lution, and field of view. It is used to derive an optimum in the trade-off problem between image resolution and CNR, and as a criterion to assess the usefulness of high-resolution (512’) M R images. The result tells that, for a given total acquisition time, an optimum value of the
resolution can be found. This optimum is very broad. To apply Shannon’s theory on information content to M R images, a model for the spatial spectral power density of these images is required. Such a model has been derived from experimental observations of ordinary M R images, as well as from theoretical considerations.
| Original language | English |
|---|---|
| Pages (from-to) | 368-380 |
| Journal | IEEE Transactions on Medical Imaging |
| Volume | 7 |
| Issue number | 4 |
| Publication status | Published - 1988 |