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.