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    EE46 3 BiomEdical imaging

    SyStEmS

    I - INTRODUCTION

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    Medical imaging aims to produce images (2D or 3D) of normal and

    diseased tissue within the human body.

    See into the body with minimal distress/inconvenience to the patient

    Started in 1895, when Wilhelm Conrad Roentgen discovered x-rays.

    The first radiograph:

    Mrs Roentgens left hand

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    Over the next few decades, x-raysbecame a widely used diagnostic tool.

    X-rays are suitable for

    examining bone structure, e.g., fractures and breaks investigating some tissue abnormalities

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    A new imaging option, computed tomography(CT), became available in the

    early 1970s.

    By combining a series of X-rays taken from different angles, computeralgorithms can reconstruct a 3-D image of any part of the body.

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    Magnetic resonance imaging(MRI) was developed in the 1980s. It is not

    based on X-rays. The patient is subjected to a very strong magnetic field. A

    radio signal is then applied, which triggers atoms in the body to send out

    signals of their own. These radio signals are collected and processed to give3-D images.

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    Ultrasound imagingwas developed from sonar technology used during World

    War II.

    It obtains images by reflecting sound waves off tissues inside the body.

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    In nuclear medicine imaging(NMI), a patient ingests or is injected with a slightly

    radioactive substance. The distribution of the substance in the body can be

    imaged to give an indication of pathological conditions, e.g., tumours and

    increased metabolic activity.

    In positron emission tomography

    (PET), the radioactive substanceemits positrons.

    In single-photon emission

    computed tomography (SPECT), thesubstance emits high-energy

    photons (gamma rays).

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    PET images SPECT images

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    PET/CT combines PET and CT imaging in a single gantry system:

    - the two sets of images are acquired sequentially and merged into one

    - metabolic activity can be correlated with anatomic structures

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    Method Parameters Measured Medical Applications

    X-ray, CT Attenuation of photons Anatomy, mineral content

    MRI Concentration of water,

    physical and chemical

    environment of the water

    molecules

    Anatomy, blood flow, chemical

    composition

    Ultrasound Echoes returning from reflectingsurfaces of tissues

    Anatomy, tissue structuralcharacteristics, blood flow

    PET, SPECT Concentrations of radioactive

    isotopes

    Metabolism, receptor site

    concentration

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    Fundamentals of Image Acquisition

    The general imaging process is similar for the various modalities

    Image formation

    The first step in biomedical image formation occurs when some form of

    energy is measured after its passage through and interaction with some

    part of the body. The measured signal may be processed to give 2D/3D

    images in digital format

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    A digital image is an array (or

    matrix) whose elements

    denote the brightness (orintensity) values. The

    individual elements are

    often called pixels.

    0 000 0 000

    0

    0

    0

    0

    0

    0

    0

    0

    0

    76 333434 43 3334

    27

    53

    16 15 56 3 5653 7

    26 48

    36

    28

    33 8

    562342

    23

    44

    34 4443 8

    3133 53

    8 65

    8 32

    65 84

    68

    66 52354 4

    89756

    5623

    11

    0

    5

    6

    8

    9

    22

    0

    0

    0

    0

    0

    0

    0 43

    64

    55

    54

    pixels

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    The 3D image is comprised of a stack of these 2D images (or slices). A 3D

    image element is called a voxel.

    image slice

    voxel

    2D image

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    Spatial resolution

    This refers to the ability to see fine details. An imaging system

    has higher spatial resolution if smaller objects in the image can beviewed. (A quantitative measure of resolution uses the point spread

    function, PSF.)

    High-

    resolution

    images

    Low-resolution

    images

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    The limiting spatial resolution is the size of the smallest object

    that is visible. This depends on the imaging modality as well as the

    quality of the scanner.

    Typical values:

    X-ray 0.08 mm

    CT 0.25 mm

    US 0.3 mm

    MRI 1 mm

    PET 5 mm

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    414 x 490

    207 x 245

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    The spatial resolution may differ for each orthogonal direction represented in a

    volume or 3D image (anisotropic) or they may be equal (isotropic). We may

    differentiate between the in-plane resolution and the through-plane resolution.

    y

    z Through-plane res.

    x

    Volume being

    imaged

    In-plane res.

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    The term spatial resolution is also used to denote the pixel size in a 2D

    image (voxel size in a 3D image).

    Consider a CT scan that is used to image a volume 500x500x500mm

    3

    .

    If there are 200 slices and each slice is of size 256x256 pixels, then

    through-plane resolution = 500200 = 2.5 mm

    in-plane resolution = 500256 = 1.95 mm

    500 mm500 mm

    500 mm256 rows

    256 columns

    200

    slices

    One voxel

    1.951.95

    2.5

    Image volume Image slice

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    Local contrast

    Individual structures are recognized by local differences in signal strength

    among adjacent structures. The visibility of a structure is related to itscontrast against the structures surrounding it.

    poor contrast good contrast

    good contrast

    MRI

    CT

    poor contrast

    Signal magnitude

    along dashed line

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    The difference in intensity between the object of interest (e.g., a tumour

    mass) and the surrounding tissue (the background) is measured by the

    local contrast:

    where

    signal at the target

    signal at the background

    t b

    b

    t

    b

    s sC

    s

    s

    s

    =

    =

    =

    ts

    bs

    0

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    Temporal resolution

    Aperture time tap:

    the amount of time it takes to capture the signal information to form oneset of images. A small aperture time will help to reduce motion artifacts.

    Image repetition time tr:

    The interval of time required to produce successive images. It is the time

    needed to rest the imaging system to acquire another set of information

    sufficient to form a new image. This limits the ability of the systemto acquire 4-D data sets, that is, 3D volumes through time.

    Time

    tap

    tr

    tap = aperture time

    tr = image repetition time

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    3D Visualisation

    Medical visualisation can simplify the task of the radiologist by providing a

    3D representation of the patient's anatomy constructed from the set of

    image slices.

    Conventional view

    Blood vessels

    Hand

    Head