Ultrasound has been widely used in medical diagnostic and
therapeutic. This is due to the safety, easiness and cost of this
modality application. The existing ultrasound machine is able to
visualize the human tissue as acoustic function in 4-dimension.
This enables the fetus movement analysis during third trimester
pregnancy. However, the dependency of operator causes difficulties
to obtain the standard diagnostic image. Manual ultrasound marker
measurements are easily prone to human error. The in-homogeneity of
human tissue causes the noise of ultrasound image. In cases of low
end ultrasound machine application, the images qualities are
getting worse due to speckle noise. This book, therefore, provides
the basic physics of ultrasound medical imaging. Image processing
techniques covered from data acquisition, pre-processing, speckle
noise reduction and segmentation are introduced. Several clinical
applications of ultrasound image processing are described using
Matlab programming implementation. This should be especially useful
for students, lecturers or professional researchers in biomedical
and image processing fields.
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