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R_Bibb_Medical_Modelling_The_Application_of_Adv.pdf

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<strong>Medical</strong> imaging for rapid prototyping 9<br />

existing physical objects with computer-aided design (CAD) models.<br />

Consequently, this process is <strong>of</strong>ten referred to as ‘reverse engineering’.<br />

<strong>The</strong>re are many types <strong>of</strong> surface scanner or digitizer available to the engineer<br />

or designer. <strong>The</strong>y can be separated into two main categories; ‘contact’<br />

or ‘touch probe digitizers’ and non-contact scanners. Touch probe digitizers<br />

use a pressure sensitive probe tip and calibrated motion to map out the<br />

surface <strong>of</strong> an object point by point. Depending on the quality <strong>of</strong> its manufacture,<br />

they can be extremely accurate. However, it is also a very slow and<br />

laborious process, sometimes taking hours to capture the surface <strong>of</strong> an<br />

object. Whilst this is acceptable when scanning inanimate objects, it is<br />

clearly not appropriate to capturing the surface <strong>of</strong> human anatomy.<br />

<strong>The</strong>refore, non-contact scanners are typically used when capturing surface<br />

data from people. Non-contact scanners utilise light and digital camera<br />

technologies to capture many thousands <strong>of</strong> data points on the surface <strong>of</strong> an<br />

object in a matter <strong>of</strong> seconds. <strong>The</strong> fast capture <strong>of</strong> data and the harmless<br />

light used make these types <strong>of</strong> scanner ideal for capturing human anatomy.<br />

<strong>The</strong>se scanners are typically like very large cameras and may be tripod<br />

mounted or in some instances even hand held. Despite the variety <strong>of</strong><br />

surface scanners available on the market, the general principles <strong>of</strong> their<br />

operation and application are the same, and these principles are described<br />

later in this chapter.<br />

It is not intended to provide a defi nitive description <strong>of</strong> the technology<br />

and practice <strong>of</strong> each scanning modality here but to establish some criteria<br />

and guidelines that may be employed to optimise their use in the production<br />

<strong>of</strong> virtual or physical medical models. Many texts are available that<br />

describe each modality fully and some are listed in the recommended<br />

reading list at the end <strong>of</strong> this chapter.<br />

2.2 Computed Tomography (CT)<br />

2.2.1 Background<br />

Computed Tomography works by passing focused X-rays through the body<br />

and measuring the amount <strong>of</strong> the X-ray energy absorbed. <strong>The</strong> amount <strong>of</strong><br />

X-ray energy absorbed by a known slice thickness is proportional to the<br />

density <strong>of</strong> the body tissue. By taking many such measurements from many<br />

angles the tissue densities can be composed as a cross-sectional image using<br />

a computer. <strong>The</strong> computer generates a grey scale image where the tissue<br />

density is indicated by shades <strong>of</strong> grey, ranging from black indicating the<br />

density <strong>of</strong> air to white representing the density <strong>of</strong> the hardest bone.<br />

As bones are much denser than surrounding s<strong>of</strong>t tissues they show up<br />

very clearly in CT images, as can be seen in Fig. 2.1. This makes CT an<br />

important imaging modality when investigating skeletal anatomy. Similarly,

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