Upload
others
View
0
Download
0
Embed Size (px)
Citation preview
3/31/2011
1
Teaching Radiographic Technique
in a
Digital Imaging Paradigm
Dawn Couch Moore, M.M.Sc., RT(R)
Assistant Professor and Director
Emory University
Medical Imaging Program
Objectives
1. Discuss the historical development of digital imaging.
2. Review digital image receptor characteristics.
3. Identify methodologies suitable for teaching radiographic technique with digital imaging systems.
Emory University
• Medical Imaging Program
– BMSc degree (2005)
– 1 + 3 design
• 8 semesters
– Major
• Diagnostic Radiography
– Minor Tracks
• CT, MRI, IR, Ed., Adm.
Historical Development
• Film
– Glass Base (1895)
– Cellulose nitrate base (1917)
– Cellulose triacetate (1923)
– Polyester (1960)
• Screens
– Zinc cadmium sulfide
– Calcium tungstate
– Rare earth phosphors (1974)
Carlton & Adler, 2006
Historical Development
• Image Intensifier (1948)
• CT (1973)
• MRI (1973)
Carlton & Adler, 2006
Historical Development
• Computed Radiography
(CR)
– 1984
– Photostimulable
Phosphor (PSP)Carlton & Adler, 2006
3/31/2011
2
Historical Development
• Direct Radiography (DR)
– 1996
– Direct Detectors
– Indirect Detectors
Carlton & Adler, 2006
Instructional Methodologies
• Traditional
– Lecture-based
• Active Learning
– Group Activities
– Case-based
– Problem-based
Instructional Methodologies
• Lecture
– Teacher centered
• Active learning
– Learner centered
Image Acquisition
(Conventional FS Radiography)
• X-ray source
• Film/ screen combination
• Processor
• Fileroom
• Reading room
Bushong, 2004
Film-Screen Image Quality
11
Cummings, 2009
Film-Screen Image Evaluation
• Density
– Too light → repeat
– Too dark → hot light?
• Pertinent anatomy demonstrated
• mAs controls image density
12
Carlton & Adler, 2006
3/31/2011
3
Film-Screen Image Evaluation
• Contrast
– Adequate penetration
– Acceptable grayscale
• kVp controls image contrast
60 kVp
100 kVp
Carlton & Adler, 2006
Film-Screen Image Evaluation
• Recorded detail
– Sharp edges
– Boney trabeculae visible
– Motion
Carlton & Adler, 2006
Film-Screen Image Evaluation
• Distortion
– Size
– Shape
– Understand „normal‟
Carlton & Adler, 2006
Teaching Methodologies
• What teaching methodologies did you use with
film-screen systems?
Digital Radiography
Digital Radiography
CR-
Photostimulable
Phosphor
(Cassette-based/
Phosphor-based)
Direct DR-
a-Se/ TFT
(Cassette-less)
Indirect DR-
CsI, a-Si/ TFT
(Cassette-less)
Image Acquisition(Cassette/Phosphor-based Systems)
• X-ray source
• Detector
• Plate Reader
• Monitor
• Reading room(PACS)
3/31/2011
4
Cassette/Phosphor-based Image
Acquisition
Three components
– Cassette
• Holds plate
– Photostimulable phosphor imaging plate
• Latent image formation
– Plate reader
• Manifestation of the latent image
Imaging Plate
• Photostimulable
phosphor
– PSP
• Imaging plate
– IPCarlton & Adler, 2006
Imaging Plate
• Photostimulable
Phosphors
– Materials that store
information when
exposed to one
stimulus (x-rays) and
release the information
when exposed to
another (laser light)
Imaging Plate
• Phosphor K-edge attenuation
– Best between 35 – 50 keV
• 35 keV: average energy of 80 kVp beam
– More exposure needed if applied kVp is
outside of this range
* More sensitive to scatter than FS systems
Image Acquisition
(Cassette-less System)
• X-ray source
• Detector
• Monitor
• Reading room (PACS)
Bushong, 2006
Image Acquisition
(Cassette-less System)
• Types of Sensors (Image Receptors)
– Indirect Image Receptors
• Flat Panel
• CCD
– Direct Image Receptors Carlton & Adler, 2006
3/31/2011
5
DR Image Receptor Comparison
• Indirect IR
– X-rays →Light (phosphor) →Electrical Charge
• Direct IR
– X-rays → Electrical Charge (photoconductor)
Teaching Ideas
• Lecture
• Written Assignment
– Compare the structure of a FS receptor to a
CR receptor.
– Describe the steps in latent image production
using FS, a PSP and a DR receptor.
Teaching Ideas
• Labs
1. Expose a conventional screen and a PSP in a dark
radiographic room. Describe the results.
2. Expose a medium-sized anatomical phantom (knee)
at a low kVp, low mAs level (50 kVp; 5 mAs) using a
PSP. Take additional exposures, increasing the
mAs each time and monitoring the exposure
indicator. Evaluate the required mAs to achieve an
acceptable EI. Repeat at 60 and 70 kVp levels.
Teaching Ideas
• Case-based Learning
– Provide students with a FS cassette and a CR
cassette
– As a group, the students should explore the IR
systems. This would require:
• Acquisition of critical knowledge
• Problem-solving proficiency
• Self-directed learning strategies
• Team participation skills
Digital Image Quality
• Goals remain the same as FS
– Provide optimal diagnostic information
– Demonstrate pertinent anatomy
– Optimal brightness (density)
– Optimal contrast
– Optimal recorded detail
– Acceptable distortion
29 30
Cummings, 2009
3/31/2011
6
Digital Image Quality
ARRT, 2011
Digital Image Quality
• Dynamic Range
– The exposure range
over which the system
can respond
– Digital receptors have
a much wider dynamic
range than FS Frank & Ballinger,2003
32
Digital Image Quality
• Dynamic Range and Latitude
– Latitude: The range of exposures that allows a quality image to be captured.
– Because of digital image processing there is a false impression of wide latitude
• Film screen: +50% to -30%*
• Cassette-based (CR): + 200% to -50%*
• Will give similar brightness, but…33
Digital Image Quality
www.sprawls.org
Digital Image Quality
• > 50% underexposed
– Noisy, mottled image
• 3X overexposure
– Contrast degradation (↑ scatter)
– ALARA violation
– Potential loss of adjustment at PACS
35
Cassette-based Exposure
Indicators
• Fuji, Philips, Konica
– S number (Sensitivity number)
• 1.0 mR S=200
• 10 mR S=20
• 0.1 mR S=2000
– Inverse, Linear relationship
• Carestream (Kodak)
– EI (Exposure Index)
• 1.0 mR EI=2000
• 2.0 mR EI=2300
• 0.5 mR EI-1700
– Direct, Logrithmic relationship
36
3/31/2011
7
Teaching Ideas
• Lecture
• Written Assignments
• Lab
• Problem-based Learning
Digital Image Processing
1. Latent Image Creation (@ receptor)
2. Image Readout (to computer)
3. Image Processing
4. Advanced Post-processing
38
Digital Image Processing
39
www.sprawls.org
Digital Image Processing
• Exam selection
determines:
– Automatic
Rescaling
• Brightness
(Density)
– Look-up Tables
• Contrast
40
www.sprawls.org
Digital Image Processing
• Automatic Rescaling
– Mapping grayscale to “values of interest”
• Provides images that have uniform display
brightness over wide exposure range
– Controls Image Brightness (density)
41
Digital Image Processing
Automatic Rescaling
4 mAs 8 mAs 16 mAs
Carlton & Adler, 2006
42
3/31/2011
8
Image ProcessingNot Possible with Conventional Imaging
4 mAs 8 mAs 16 mAs
43
Carlton & Adler, 2006
Digital Image Processing
• Contrast Enhancement
– Look-up Tables (LUT)
– Windowing
44
www.sprawls.org
Look-up Table
• Converts the original
pixel value to another
value to enhance
image contrast
• Look-up Tables are
specific to exam type
– Chest, Abdomen, etc.
45
www.sprawls.org
Look-up Table
46www.sprawls.org
Look-up Table
47www.sprawls.org
Look-up Table
48www.sprawls.org
3/31/2011
9
Digital Image Processing
• Image Brightness (Density)
– Controlled by Automatic Rescaling
– Not by mAs
49
2 mAs 10 mAs 20 mAs
Image Source:James Barba MA, R.T.(R)
Clinical Assistant ProfessorDivision of Radiologic Science
Department of Allied Health SciencesUNC-Chapel Hill School of Medicine
Digital Image Processing
• Image Contrast
– Controlled by Look-up Table
– Not by kVp
75 kVp 95 kVp 130 kVp
Image Source:James Barba MA, R.T.(R)
Clinical Assistant ProfessorDivision of Radiologic Science
Department of Allied Health SciencesUNC-Chapel Hill School of Medicine
Teaching Ideas
• Lecture
• Written Assignments
• Lab
• Problem-based Learning
Technical Considerations
• Digital receptor systems are exposure driven
– Provide optimal exposure to the image receptor
• High SNR
• Optimal exposure (kVp and mAs)
– Maximize the signal
• Minimize the „noise‟
– Control scatter
52
Technical Considerations
• kVp and mAs selection
• Anatomical part determines selection
• Use higher kVp than used for film-screen (+15-20)
– Decreased mAs results in lower patient dose
– Captures more anatomical data
High subject
contrast, high kVp
Moderate subject
contrast, moderate
kVp
Low subject
contrast, low kVp
Chest x-rays Adult extremities Pediatric extremities
Contrast studies Abdominal studies
Prosthetic devices Pelvis and hip
53
Technical Considerations
• To maximize resolution and minimize distortion:
• Use smallest focal spot size practical
• Follow accepted standards for positioning,
centering, etc.
• Use largest practical SID
• Use smallest practical OID
3/31/2011
10
Technical Considerations
• Optimal kVp range for adults: 60-120
• >120 kVp ~ decreased absorption efficiency
• Optimal kVp range for peds (<100 lbs.): 50-90
• Fuji CR do not use < 55 kVp
• Use standard rules (15%, 30%, etc.) to adjust technique
55
Technical Considerations
Image A = Correct exposureImage B ~ 60% Underexposed - objectionable mottle
A B
Image Source: Lauren Noble, Ed.D., R.T.(R)Clinical Assistant ProfessorDivision of Radiologic ScienceDepartment of Allied Health SciencesUNC Chapel Hill School of Medicine
• ↑ kVp and ↓mAs can result in:
• Low signal (mottle)
• Increased scatter production (noise)
56
Technical Considerations• Grid selection
– Parallel FS imaging
• Critical for scatter (noise) control
• Increased grid ratio → increased
mAs
• Avoid “moiré” effect
– generally 150 LPI or higher
Image Source:James Barba MA, R.T.(R)Clinical Assistant ProfessorDivision of Radiologic ScienceDepartment of Allied Health SciencesUNC-Chapel Hill School of Medicine
57
Technical Considerations
• Collimation
• Collimation recognition critical in CR
– Symmetrical
– Sharp, well-defined borders
• Cassette-based systems use automatic exposure field edge
detection (eliminates signals from outside collimated field)
• Scatter and off-focus radiation contribute to rescaling errors
58
Technical Considerations
Rescaling error due to improper collimationResults in faulty application of Pattern Recognizer
for Irradiated Exposure Field (PRIEF)
Proper collimation, proper rescaling
Image Source:James Barba MA, R.T.(R)Clinical Assistant ProfessorDivision of Radiologic ScienceDepartment of Allied Health SciencesUNC-Chapel Hill School of Medicine
• Collimation
• Cassette/ phosphor based systems
59
Technical Considerations
• Collimation (cassette/phosphor based systems)
Collimation “OK” Collimation NOT “OK”Image Source:James Barba MA, R.T.(R)Clinical Assistant ProfessorDivision of Radiologic ScienceDepartment of Allied Health SciencesUNC-Chapel Hill School of Medicine
60
3/31/2011
11
Technical Considerations
• Centering
Non-centered single fieldSingle collimation margin
Non-centered, singlesided collimationHistogram includedthe low intensity off-focusradiation
Image Source:James Barba MA, R.T.(R)Clinical Assistant ProfessorDivision of Radiologic ScienceDepartment of Allied Health SciencesUNC-Chapel Hill School of Medicine
61
Technical Considerations
• IR size (Cassette/ phosphor based systems)
• Use smallest practical IR size
• Use consistent orientation of IR
• Ensures consistent and comparable display
Image Source:James Barba MA, R.T.(R)Clinical Assistant ProfessorDivision of Radiologic ScienceDepartment of Allied Health SciencesUNC-Chapel Hill School of Medicine
Navicular on 18 by 24
Navicular on 24 by 30
62
Image Evaluation
• Similar to film-screen
evaluation
• Check for:
– Proper positioning
– Proper centering
– Proper collimation
63
Carlton & Adler, 2006
Image Evaluation
• To evaluate for proper technical factors:
• Check for penetration of the part
• Brightness
• Contrast
• Exposure index
• Noise
Carlton & Adler, 2006
Teaching Ideas
• Integrate concepts throughout the curriculum
– Introduction Course
– Radiation Safety Course
– Physics and Equipment Courses
– Radiographic Technique Courses
– Procedures Courses
– Image Processing Course
– Clinical Education Courses
Teaching Ideas
• Teaching Methodologies
– Concepts
• Lecture
• Independent Research
• Discussion
– Technique and Equipment
• Lab Assignments
3/31/2011
12
Teaching Ideas
• Teaching Methodologies
– Clinical Education Courses
• Practical Experience
• Checklists
• Competency Evaluations
• Image Evaluation
– S #; EI; LGM
– Mottle evaluation
– Brightness/ contrast evaluation
– Cropping vs collimation
Contact Information
Dawn Couch Moore, M.M.Sc, RT(R)
Emory University
PO Box 25901
Atlanta, GA 30322
404-727-3200