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increasing the focal spot size

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Another name for image sharpness is?

Resolution is another name for image sharpness.


What is the term of radiograph?

X-ray image.


What factors will not materially influence the image density of a radiograph?

Factors such as the strength of the magnetic field, the availability of advanced imaging technology, or the presence of artifacts in the image will not materially influence the image density of a radiograph.


What is a radiograph of the aorta?

A radiographic image of the Aorta is called an aortogram.


How do you convert negative radiograph to positive radiograph?

To convert a negative radiograph to a positive radiograph, you can use a process called image inversion. This involves reversing the colors of the image so that the dark areas become light and vice versa. In digital radiography, this can be done using image processing software by applying an inversion filter or adjusting the brightness and contrast settings. For traditional film, the negative can be printed onto positive film to create a positive image.


The clarity and sharpness of the image is?

Resolution


What is a measure of the sharpness of an image?

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How do you use radiograph in a sentence?

A radiograph is an image produced using radiography, such as an x ray. An example of this term in a sentence would be, "The doctor carefully examined the radiograph of the patient's shattered knee before suggesting a course of treatment."


A foreshortened image on a dental radiograph is most likely caused by?

Excessive vertical angulation.


When Radiograph is produced?

electrons strike a target


What is the image sharpness of a display screen called?

resolution


What is image noise in the radiograph?

Image noise in a radiograph refers to the random variations in pixel values that can obscure or distort the true representation of tissues or structures within the image. It can result from various factors, including electronic interference, patient movement, or insufficient radiation exposure. High levels of noise can reduce the clarity and diagnostic quality of the image, making it challenging for radiologists to identify abnormalities. Reducing noise enhances the visibility of important details in the radiograph.