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Plays an important role in assessing any new hardware,
software image acquisition techniques, image
reconstruction or post processing algorithms. This
involves assessing the quality of medical images to ensure
they are suitable for diagnostic purposes. It includes
evaluating factors such as resolution, contrast, noise, and
artifacts

High-quality images are crucial for accurate diagnosis and
treatment planning. Poor image quality can lead to
misdiagnosis or missed diagnoses

types of quality evaluation

uses personal judgment to determine if the image appears clear and sharp

uses quantitative
measurements to judge picture quality, it also depends on
mathematical models that may compare the processed
image to a reference. It also has common metrics such as
PSNR, MSE, and SSIM

A tool used in medical image processing that enables
quantitative assessment, objective decision-making
and quality patient care.

involves the application of statistical techniques to
extract meaningful information from medical images

Involves the
analysis,
summary, and
communication of
findings that
describe a
dataset of
medical images.

Involves drawing
conclusions about
a population of
images based on
a sample of
images.

It is used to
recognize specific
patterns or
features in
images that can
be indicative of
certain diseases
or conditions.

It determines the
level of detail that
can be visualized
in an image.

To test specific
hypotheses about
the
characteristics of
an images.

To estimate the
range of values
within which a
population
parameter is
likely to fall

To assess the
relationship
between different
image features

To model the
relationship
between variables

Categorizing
images into
different classes

Identifying and
locating specific
objects within an
image

Dividing an image
into meaningful
regions or objects

Use to develop systems that
assist in early disease detection and diagnosis

To measure tumor size,
volume, and shape that changes over time

Use for image comparison and
analysis

To combine images from different
modalities to ensure image improvement

Used in MRI for quantifying
brain activity and blood flow