How are the matrix and pixels related?
There are two types of images, analog and
digital, used in medical imaging.
Analog images are the type of images that we, as humans, look at.
They include such things as photographs, paintings, TV images, and
all of our medical images recorded on film or displayed on various
display devices, like computer monitors. What we see in an analog
image is various levels of brightness (or film density) and colors.
It is generally continuous and not broken into many small
individual pieces.
Digital images are recorded as many numbers. The image is divided
into a matrix or array of small picture elements, or pixels. Each
pixel is represented by a numerical value.A digital image is
composed of a matrix of pixel elements arranged in rows and
columns.In general, the pixel value is related to the brightness or
color that we will see when the digital image is converted into an
analog image for display and viewing.Generally, at the time of
viewing, the actual relationship between a pixel numerical value
and it's displayed brightness is determined by the adjustments of
the window control as discussed in other modules.
Why are smaller pixels better for diagnostic quality?
Increasing the matrix size, for example from 1024 to 2048 pixels, without changing the image field of view, will produce smaller pixels.This will generally reduce blurring and improve image detail.
The term pixel pitch describes the distance between dots (pixels) in an image. The smaller the distance between pixels, the better the resolution of the image. In digital radiography, the optimum pixel pitch is between 100-150 microns. It is because the human eye can resolve down to about 25 microns (for example, a human hair is about 40 microns), but at this minimal distance between pixels, an animal is exposed to high levels of radiation. At a large pixel pitch, you can use less radiation, but if you zoom in on a radiograph, the image will be grainy. The trade-off between exposure to radiation and image quality is optimized at 100-150 microns.
How are the matrix and pixels related? Why are smaller pixels better for diagnostic quality?
3. The goal of software process is high quality. Why does better quality imply better timeliness? [3pts
Explain why multiple extractions with smaller volumes of the extraction solvent are typically "better" than single extractions with a larger volume of the extraction solvent.
why do some animals end up choosing a not so quality
animal over a smaller animal or animal that is more tasty but
difficult to catch. in this case the example is given
of why this animal chooses the smaller animal? how can u test this
hypothesis
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