Radiologists have long been interested in imaging and measuring blood fl ow and in
characterising the structure of blood vessels within pathological tissues. In 1927 Egas
Moniz described the technique of cerebral angiography using injection of radio-opaque
contrast agent combined with conventional radiology. His earlier published work had
focused on the physiology of sex, so the fact that dynamic contrast imaging was able to
divert him is a testament to the excitement intrinsic to the topic. Perhaps it is worrying
that he later went on to invent the technique of prefrontal lobotomy – one can only hope
that it was not his frustration with dynamic contrast imaging that drove him to it.
More seriously, it soon became obvious that dynamic contrast imaging using conventional
radiography (i.e. angiography) was an enormously powerful clinical tool for
the identifi cation, localisation and characterisation of a wide range of pathological tissues.
This was especially true in the head, where alternative radiological tools were not
available, and in vascular and malignant lesions. The angiographer became a mainstay
in many areas of diagnosis, and numerous articles were subsequently published on the
characterisation of tumours based on their angiographic appearances. Even in these
early days before the Second World War it was clear that classifying tumours based
on the number of blood vessels, the density of capillaries, the rate of blood fl ow and
the extent of contrast leakage provided valuable, and at the time unique, information,
although these classifi cation methods remained purely subjective.
A brand new edition of Essential Neurology brings the text fully up-to-date. This book is a core text for medical students and junior doctors, who want a comprehensive yet concise practical guide to clinical neurology. To make the book more readable and digestible, we have introduced colour into the text. This text provides clear explanations of...
Professional VMwareServer (Programmer to Programmer) Developing software and testing within virtual machines provides you with countless advantages in terms of automation, stability, disaster recovery, and overall code quality. With this book as your guide, you get the tools you need to create a fleet of virtual machine images that you can use to build your own secure applications.
Anonymizing Health Data: Case Studies and Methods to Get You Started
Updated as of August 2014, this practical book will demonstrate proven methods for anonymizing health data to help your organization share meaningful datasets, without exposing patient identity. Leading experts Khaled El Emam and Luk Arbuckle walk you through a risk-based methodology, using case studies from their efforts to...
Scala Functional Programming Patterns
Grok and perform effective functional programming in Scala
About This Book
Understand functional programming patterns by comparing them with the traditional object-oriented design patterns
Write robust, safer, and better code using the declarative programming paradigm
SciPy and NumPy: An Overview for Developers
Python, a high-level language with easy-to-read syntax, is highly flexible, which makes it an ideal language to learn and use. For science andR&D, a few extra packages are used to streamline the development process and obtain goals with the fewest steps possible. Among the best of these are SciPy and NumPy. This book gives a brief...