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Computed Tomography in the Diagnostic Radiography Curriculum

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Title: Computed Tomography in the Diagnostic Radiography Curriculum


1
Computed Tomography in the Diagnostic Radiography
Curriculum
2
My Disclaimer
  • My position on CT in the Diagnostic Curriculum is
    that it is more beneficial than harmful.
  • I am not suggesting that students graduate from
    our Programs as CT techs.
  • I AM suggesting that they have an understanding
    of the modality, its basic concepts, and focused
    clinical opportunities.

3
The Premise
  • I look at CT within the curriculum as a two-fold
    activity from the student perspective.
  • One, provides students a basic overview of what
    CT is, how it works, and why its better for
    some diagnoses.
  • Two, CT provides an excellent means of review for
    general radiography principles that may be old
    hat for some, boring for others, or just offers a
    different perspective than the original
    explanations.

4
When to Present CT
  • CT has to be in the second year or later. There
    needs to be a foundation of relevance and
    understanding.
  • In our Program, CT is officially taught in the
    Rad T 265 course, first semester second year.
  • Clinical rotations begin in the middle of the
    first semester second year.
  • Unofficially CT is found throughout our second
    year curriculum.

5
  • Radiologic Technology 265
  • Principles of Digital Imaging and Computer
    Applications (2) Prerequisite Radiologic
    Technology 165. Introduction to computer aided
    medical imaging's as used in radiography
    departments. Applications include computed and
    digital radiography (CR/DR), CT, MRI, and other
    modalities. Basic imaging principles are applied,
    including physics, imaging protocols, and systems
    electronics. Software and display strategies for
    varying modalities will be discussed.

6
  • Date Lecture Topic Reading Assignment
  • Aug 28 Orientation/Principles of CT B. Ch 29,
    M v3 Ch 33
  • Sep 4 HOLIDAY
  • Sep 11 Components of a CT scanner
  • Sep 18 Data Acquisition technology B. Ch 30
  • Sep 25 Spiral CT
  • Oct 2 Image reconstruction
  • Oct 9 Image quality
  • Oct 16 Image manipulation M. Ch 36
  • Oct 23 MRI physics and equipment
  • Oct 30 MRI image acquisition M. v. 3 Ch 36
  • Nov 6 Computer literacy and its relevance B. Ch
    26
  • Nov 13 Basic concepts of digital imaging B. Ch
    27, M v3 Ch 34
  • Nov 20 Digital fluoroscopy M v 3 Ch 35, B. Ch
    28
  • Nov 27 Digital fluoroscopy
  • Dec 4 Ultrasound and Nuc. Med. Applications M
    v3 Ch 3738
  • Dec 11 FINAL

7
Why the importance of teaching CT?
  • Provides a break from the regular routine.
  • Offers new technology or info that may be
    exciting.
  • Reviews existing (hopefully) knowledge.
  • For example, Photon/tissue interactions
  • Great way to review anatomy and pathology as seen
    clinically.
  • Provides an excellent opportunity to experience a
    modality first hand.

8
The Clinical Component
  • We began a clinical affiliation this year with a
    free-standing imaging center.
  • Last year, we had an observational agreement that
    allowed students to visit and only watch.
  • This year students have clinical expectations
    based on the time they spend there.

9
Clinical continued
  • Students are allowed to pick a three week
    optional rotation.
  • We chose this in order to have students doing
    something that interested them thereby decreasing
    the possibility of discontent.
  • Also, students looking for additional education,
    therapy or nuclear medicine, could get their
    observational requirements met.

10
The Proposed CT Curriculum
  • CT Generations
  • Components, Operations, and Processes
  • Radiation Protection Practices

11
CT Generations
  • This is really the only area that has limited
    value in the diagnostic curriculum.

12
First and Second Generation CT
  • The first and second generations of CT were very
    similar.
  • Both used a scanning technique called
    translate/rotate in order to move around the
    patient.
  • The first generation scanner used a single
    detector and thin beam. While the second
    generation scanner use several detectors and a
    fan beam.
  • These changes resulted in a significantly faster
    scanner.

13
Third Generation
  • The big change here was that the tube was in
    constant motion throughout the exposure, no more
    stops and starts.
  • The detectors were also moving during the
    exposure and more detectors were added.
  • As before, we now have an even faster scanner.

14
Fourth Generation
  • It became obvious that moving detectors
    introduces noise into the image.
  • Now the detectors are fixed in a ring around the
    patient and only the tube moves.
  • Thousands of detectors are now needed to generate
    an image.
  • Faster imaging with increased spatial resolution.

15
Fifth Generation
  • Electron beam CT
  • EBCT
  • Ultrafast

16
Spiral
  • Slip-ring technology eliminates power cables.
  • Constant power to moving tube.
  • Continuous exposure
  • Patient moves through the beam during exposure
  • A stream a data is generated (spiral) as opposed
    to a series of individual slices.

17
  • CT scanner generations have limited value outside
    of understanding CT. However, it does provide a
    mechanism to see the development of a modality.
  • Additionally, the advantages of each generation
    and its evolution illustrates the thought
    processes that go into learning and adapting.

18
Components, Operations, and Processes
  • Most of these topics have direct correlation to
    diagnostic radiography.
  • Data acquisition
  • Factors controlling image appearance
  • Anatomical structures
  • Post-processing

19
Data Acquisition
  • Methods
  • Slice by slice
  • Contiguous
  • Volumetric
  • Spiral/helical

20
Beam Geometry
  • Parallel
  • Fan
  • The traditional beam geometry, it is opened along
    the width of the patient.
  • Spiral
  • The beam is continuously on allowing for more
    anatomical coverage in a shorter time.

21
Data Acquisition system (DAS)Components
  • Tube
  • Detectors
  • Filters
  • Collimators
  • ADC

22
CT Tubes
  • Much higher heat loading than conventional tubes
  • 8MHU and up
  • Generally have two focal spots

23
Filters
  • Again CT filtration is similar to diagnostic
    radiography
  • All tubes are required to have minimum filtration
  • Primary purpose is patient protection
  • Also, in CT the filter is used to harden the
    beam thereby, decreasing absoption
  • Compensating filters
  • Bow-tie
  • Uniform beam intensity at the detectors
  • Think wedge filter in diagnostic radiography.

24
CT Collimators
  • CT consists of both pre and post-patient
    collimation
  • Pre-patient collimation is analogous to the
    collimation we already know.
  • Controls beam coverage or amount of anatomy
    exposed.

25
Post-patient Collimation
  • Controls slice thickness.
  • Additionally, it serves to define the slice
    profile which provides a sort of grid effect.
  • Scatter rejection

26
Analog-to-Digital Convertor (ADC)
  • Converts the analog signal from the detectors to
    a digital signal for processing.
  • Rated by bits
  • Most scanners today are 16-bit systems
  • Produce 4096 data points
  • The more data points, the better the gray scale
    (contrast) resolution.

27
Measurement of the Transmitted Beam
  • A ray
  • Basically, the detected value of a single photon
  • Several rays combine to form a view.
  • The data from multiple photons hitting the
    detector during a single translation.
  • Profile
  • The electrical signal produced by the detector.

28
Encoding into Binary Data
  • The data from the views is converted into
    attenuation coefficients using the formula
  • The attenuation coefficients are then sent to the
    ADC.

1
___
lnIo/I

x
29
Data Transmission to the Computer
  • Data processing begins
  • The raw (detector) data is preprocessed to remove
    bad data sectors.
  • The reformatted raw data is now sent to the array
    processors.
  • The array processors are using filter algorithms
    to produce the desire image appearance, i.e. soft
    tissue, bone, high-res.

30
  • After the array processors, the data is then
    subjected to a reconstruction algorithm that
    produces the cross-sectional image we see.
  • The most common reconstruction algorithm today is
    the filtered back projection.
  • The data is now image data and available for
    image manipulation.

31
The CT Image
  • Any digital image, including CT, is comprised of
    picture elements (pixels).
  • The pixels are 2-dimensional elements that
    represent volume elements (voxels).
  • Pixels are displayed in a matrix.
  • The brightness of each pixel is determined by the
    CT number it represents.

32
CT Numbers
  • CT numbers are calculated by comparing the
    attenuation coefficients of water and tissue.
  • The formula is
  • CT

__
.
__________
t
w
K

w
33
  • The CT number of water is 0.
  • Now, if you look at the formula you can see that
    tissues attenuate more than water will have a
    positive CT number.
  • Conversely, tissues less attenuate less have
    negative CT numbers.

34
Examples of Tissue Attenuation Coefficients and
Their CT Numbers
35
Factors Affecting Attenuation
  • Photon energy
  • Selected kVp
  • Filtration
  • Tissue effective atomic number
  • Tissue mass density

36
Selectable Scan Factors
  • Field of View
  • Scan
  • Display
  • Matrix size
  • Slice thickness
  • Algorithm
  • Scan time and rotational arc

37
  • Tube output
  • mAs
  • Region of Interest (ROI)
  • Magnification
  • FSS and Tube geometry

38
Scan FoV
  • The total area from which raw data is acquired

39
Display FoV
  • Determines how much raw data is used in
    displaying the acquired image.

40
Matrix Size
  • Basically, the number of pixels displayed.
  • Affects spatial resolution
  • The bigger the matrix the more pixels.
  • Given that image size stays the same the pixels
    have to be smaller therefore, spatial resolution
    increases.
  • Generally, the larger the image matrix the higher
    the patient dose.

41
Algorithm
  • Mathematical formula applied to the raw data in
    order to produce a specific image outcome.

42
Scan time and Rotational Arc
43
Radiographic Tube Output
  • mAs

44
ROI
  • Allows the technologist to select a specific area
    of interest for image reconstruction.
  • Uses the raw data for the reconstruction instead
    of using image data
  • The result is a better quality image.

45
Magnification
  • Defined as a post-processing activity.
  • Magnification uses image data not raw data, so
    the final product has less spatial resolution
    than when using ROI.

46
FSS and Tube Geometry
  • FSS
  • In CT, FSS selection has the same connotations it
    has in diagnostic radiography.
  • A smaller FSS has more detail (resolution) than a
    larger one. However, due to digital imaging
    issues (monitor and matrices) the effects of a
    small versus large FSS are not as apparent.

47
Factors Affecting Image Quality
  • Spatial resolution
  • Contrast resolution
  • Noise
  • Radiation dose
  • Artifacts

48
Spatial Resolution
  • The degree of blurring within the image
  • Ability to discriminate objects of varying
    density a small distance apart.
  • CT spatial resolution is affected by
  • Geometric factors
  • Reconstruction algorithm

49
Geometric Factors
  • FSS
  • Detector aperture width
  • Slice thickness
  • SID
  • SOD distance to isocenter
  • Sampling distance
  • Number of projections

50
Reconstruction algorithms
  • Several different types of convolution algorithms
    are available.
  • Edge enhancement
  • Smoothing
  • Soft tissue
  • Bone
  • Matrix size is also going to play a role in
    spatial resolution

51
Potential Spatial Resolution
52
  • Can easily be demonstrated on CR/DR as well as CT
  • Examples here

53
Spatial resolution
  • FoV
  • Amount of anatomy displayed
  • Also an issue with fluoroscopy
  • Affects on patient dose
  • Matrix
  • Affects on spatial resolution and patient dose
  • Pixel
  • Voxel
  • Slice thickness
  • Opportunity to demonstrate partial voluming and
    superimposition

54
Contrast Resolution
  • Affected by several factors
  • Photon flux
  • Slice thickness
  • Patient size
  • Detector sensitivity
  • Reconstruction algorithm
  • Image display
  • noise

55
Photon flux
  • Basically, the number of photons available
  • kVp
  • mAs
  • Beam filtration
  • Patient size also affects photon flux
  • Larger patients attenuate more photons

56
Slice Thickness
  • Slice thickness is controlled by post-patient
    collimation
  • Tight collimation decreases the number of
    scattered photons that can strike the detectors
  • Fewer scatter photons, more contrast
  • Essentially, post-patient collimation works like
    a grid.

57
Detector Sensitivity
  • The more sensitive the detector the more
    variation in photon energy it will resolve

58
Reconstruction Algorithm
  • Smooth algorithms improve contrast resolution
  • A rule of thumb
  • Increase spatial resolution decrease contrast
    resolution

59
Grayscale Manipulation
60
Distortion
61
Noise
62
Spatial Resolution
63
Post-Processing
  • Image Reformation
  • Image smoothing
  • Edge enhancement
  • Grayscale manipulation

64
Radiation Dose
  • Technical factor selection
  • Adjustments for children
  • Scanner dosimetry survey
  • Reducing scatter to the technologist

65
Data Acquisition
  • In CT data is acquired from either scintillation
    or gas-filled detectors.

66
Scintillation or Solid-state detectors
  • Various materials are coupled to photodiodes to
    record photon activity.
  • Examples of materials include
  • Cadmium tungstate
  • Ceramics doped with gadolinium or yttrium

67
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Indirect Digital Radiography
  • The intensifying screen is made up of
    cesium-iodide crystals and the photodetector is
    made up of amorphous silicon.

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Another Positive in the CT Debate
  • During the past several years there has been an
    ongoing discussion about how do we get people
    interested in being faculty.
  • Adding CT brings another group of potential
    faculty members to the table.
  • Certainly, we increase the probability of adjunct
    faculty to teach the CT component.
  • Also, we increase the exposure of our students to
    potential employers.

83
http//w4.siemens.de/FuI/en/archiv/zeitschrift/hef
t1_97/artikel03/index.html
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http//www.impactscan.org/rsna2001.htm
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Contrast Media
89
Photon Tissue Interactions
  • PE
  • CE

90
Scatter Control
91
Filtration
  • Compensating
  • Required
  • Effects on beam energy

92
Anode Heel Effect
  • Line focus principle

93
Exposure Creep
  • Look for article about pediatric overexposure in
    CT

94
Sensitivity of Image Receptor
  • Differences providing the ability to visualize
    different structures

95
Quantum Mottle
  • Along for fluoroscopy an excellent modality to
    demonstrate the effects of it.
  • Now possible with CR/DR

96
Cross-sectional anatomy
  • Provides further review for students
  • Allows them to learn about something they
    frequently see in the department and hospital.
  • Certainly helps with positioning and pathology
    review.

97
Equipment
  • Detectors
  • Tubes
  • FSS
  • Filtration
  • Collimation

98
Concepts
  • Spatial resolution
  • Contrast resolution
  • Image matrix
  • FoV

99
Patient Care
  • Contrast Media
  • Patient prep
  • Reactions
  • Dose rates
  • Venipuncture
  • Ionic v. non-ionic
  • Atomic number
  • Concentration
  • Barium versus iodine

100
Tubes
  • Anode heel effect
  • Line focus principle

101
Collimation
  • Total
  • Compensating
  • Pre and post
  • grid and patient dose

102
Tissue Interactions
  • Photoelectric effect
  • Absorption
  • Compton effect
  • Scatter
  • Attenuation

103
PE
  • Absorption
  • High contrast
  • Plain film radiography

104
CE
  • Low contrast
  • Scatter
  • High energy photons
  • More likely forward scatter
  • High energy photons
  • Less absorption (charts/graphs here)

105
Contrast resolution
  • This will be new
  • Gray scale
  • Dynamic range
  • High and low contrast
  • Count anatomical structures

106
Radiation Protection
  • Dose versus Image Quality

107
Quantum Mottle
  • Easily demonstrated
  • CR/DR applicable
  • Particularly when using appropriate techniques
  • Fluoroscopy applicable

108
Technique selection
  • No penalty for overexposure
  • Similar to CR/DR
  • Too little exposure is trouble
  • Quantum mottle
  • Exposure creep

109
Anatomy and Pathology
  • Opportunity to review diseases again

110
Spine
  • CSP
  • LSP
  • Intervertebral foramen
  • Zygo joints
  • Myelograms
  • Discograms
  • In some facilities this may be the only
    opportunity to see these exams

111
Stomach
  • Location
  • Position
  • Structures
  • Pathology
  • contrast

112
Kidney
  • Mention in last years student bowl
  • Position and angulation

113
Colon
  • Flexures and their position
  • Pathology
  • Appendicitis

114
Skull
  • Skull types
  • Angles
  • Visibility of structures

115
Extremities
  • Positional relationships between structures
  • Angles
  • Non-linear reconstructions

116
Patient Prep
  • Contrast
  • Instructions
  • Post-procedural care
  • Biopsies
  • Myelograms
  • Etc.

117
Review of Lab Values
  • Vital Signs
  • Hemoglobin
  • RBC
  • Platelets
  • O2
  • Prothrombin
  • Partial thromboplastin time

118
Several labs will only be done in CT
119
Consents
120
Postural hypotension
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