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Multiple Choice

In digital mammography, increasing the number of pixels primarily affects which aspect?

Increasing the number of pixels boosts how finely the image is sampled. Each pixel is a sample of the x-ray signal from a small area of tissue, so more pixels mean smaller sampling tiles and the ability to represent finer details. That improved sampling directly enhances spatial resolution, letting you distinguish close structures like tiny masses or microcalcifications more clearly. Brightness comes from how much exposure the detector receives and its overall response, which isn’t changed simply by adding more pixels. Dynamic range depends on how many gray levels the detector can produce, tied to bit depth and electronics rather than pixel count. Compression affects tissue thickness and scatter, not the sampling grid. So the primary effect of increasing pixel count is higher spatial resolution.

Increasing the number of pixels boosts how finely the image is sampled. Each pixel is a sample of the x-ray signal from a small area of tissue, so more pixels mean smaller sampling tiles and the ability to represent finer details. That improved sampling directly enhances spatial resolution, letting you distinguish close structures like tiny masses or microcalcifications more clearly. Brightness comes from how much exposure the detector receives and its overall response, which isn’t changed simply by adding more pixels. Dynamic range depends on how many gray levels the detector can produce, tied to bit depth and electronics rather than pixel count. Compression affects tissue thickness and scatter, not the sampling grid. So the primary effect of increasing pixel count is higher spatial resolution.