Fundamentals of Digital Imaging in Medicine
In general, image processing texts are intended for students of engineering and computer science, and there is little written at all on the specific requirements of medical image processing. Students of medical radiation science (Diagnostic radiography, Nuclear medicine, Radiation therapy) usually have minimal mathematical and computer science training and find the available texts incomprehensible. A text that explains the principles of image processing in minimally-mathematical language is needed for these students. Contrary to the claims of some textbook authors, the vast majority of technologists that process images do not need to understand the mathematics involved, but would nevertheless benefit from a thorough understanding of the general process.
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A perfect example of a University Lecturer providing little to no helpful ways of understanding concepts during the lectures but happens to have an expensive textbook with all the information that you wanted to know in the first place. At $89.53, I can think of better ways to spend my precious student money. I think I might buy a horse head mask, or go see that new Christopher Nolan movie....or get some shoes. That being said the way the textbook is written is not too easy to grasp either. Google is your friend.
1/5 Would not Fourier Transform
Okay, let's face it- this book is attempting to explain some nasty and difficult stuff. I myself need this textbook because I attend this author's lectures.
If, like me, you are looking for this book because you go to the University of Sydney and take this person's lectures- TRUST ME, FIND SOME WAY TO USE THIS BOOK. His lectures do NOT help.
But that isn't saying much. It's not an easy textbook. You will need ALL your powers of concentration to utilise this effectively. It makes for good nighttime reading when you're an insomniac...
But otherwise, this is a dull book. The format inside can be confusing, with the headings scarcely a different font to the subheadings, so it's hard to tell what falls under what. Things in chapter 2 refer to things in chapter 7, things which would confuse the crap out of you. As a book... it's a bit disjointed.