artifacts and misadventures in digital radiography
TRANSCRIPT
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www.appliedradiology.com APPLIED RADIOLOGY s 11January 2004
C
onsidering the sales hyperbole
associated with digital radiogra-
phy (DR), one may wonder if itis even possible to produce a non-
diagnostic digital image. Certainly DR
is more tolerant of inappropriate expo-
sure factor selection than is conventional
film-screen radiology. However, classic
technical errors (such as malpositioning,
patient motion, incorrect patient identifi-
cation, incorrect examination, and dou-
ble exposure) still occur in the usual
frequency.1 The unfortunate truth is that
DR is subject to many of the same inac-
curacies as conventional radiography, inaddition to many new ones that are a
direct result of the way the DR image is
generated. An understanding of the
causes of both new and old problems is
necessary in order to avoid these inaccu-
racies and recover unacceptable images.
Artifacts and digital systemsAn artifact is a feature in an image that
masks or mimics a clinical feature. The liter-
ature classifies artifacts according to
causative agent, such as hardware, software,
or operator,2-5 although artifacts can also be
categorized by the mechanism of interfer-
ence with image acquisition, processing, or
display.6 Misadventures encompasses the
entire gamut of technical errors that can pro-
duce unsatisfactory images.
The reports cited above concentrated
on computed radiography (CR), that is,
any imaging system that relies on photo-
stimulable luminescence to make a radi-
ographic image. In contrast, this article
also provides examples of problems that
may be encountered with any DR system,
including direct digital radiography
(DDR) systems that make digital radi-
ographs from the photoelectric interac-
tion of X-rays with the detector itself,
indirect digital radiography (IDR) sys-
tems that are sensitive to the light pro-
duced by an intensification screen, and
optically coupled direct radiography
(OCDR) systems that use optical compo-
nents to focus fluorescence onto charge
coupled detectors (CCD). In this context,
DR includes any radiographic image
acquired without photographic film, thus
excluding film digitizers whose artifacts
are described elsewhere.
DR systemsDigital radiographs in this study were
produced with a variety of devices in
clinical service at our institutions or avail-
Artifacts and misadventures
in digital radiography
Cha rles E. Willis, PhD, DABR; Ste phen K. Tho mpson, MS, DABR; S. Jeff She pard, MS, DABR
Dr. Willis is an Associate Professor inthe Department of Radiology, BaylorCollege of Medicine, Houston, TX. Mr.Thompson is a Medical Physicist withMemorial Medical Center, Modesto,CA.Mr. Shepardis a Senior MedicalPhysicist in the Department of Diagnos-tic Physics, University of Texas M.D.Anderson Cancer Center, Houston, TX.
This article is based on material origi-nally presented in: Willis CE. Artifactsand misadventures in digital radiogra-phy. Presented at the Society of Com-puter Applications in Radiology Meeting.
SCAR University Course 305, 20th Sym-posium. Boston, MA, June 710, 2003.
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able to us, including Agfa CR (Agfa
Medical Systems, Ridgefield Park, NJ),
Fuji CR (Fujifilm Medical Systems,
Stamford, CT), GE DR (GE Medical
Systems, Milwaukee, WI), and Canon
DR (Canon USA, Inc., Lake Success,
NY). Although not shown, we have simi-
lar experiences with Kodak CR (Eastman
Kodak, Rochester, NY), Lumisys CR
(now owned by Eastman Kodak), Konica
CR (Konica Medical Imaging, Inc.,
Wayne, NJ), and Hologic DR (Hologic,
Inc., Bedford, MA).
Acquiring good quality imagesRegardless of the acquisition technology,
good radiographic images can be produced
only when certain fundamental require-
ments are met. Appropriate radiographic
technique must be used, which includes the
proper tube potential (kVp), beam current
(mAs), source-to-image distance (SID),
collimation, alignment of the X-ray central
ray, and positioning of detector and subject
for the specific anatomic projection.
The detector must receive enough
X-rays to make a good image.7 Whether
from underexposure or misalignment of a
scatter reduction grid, too few X-rays
produce noisy images (Figures 1 and 2).
Too many X-rays are a disservice to the
patient and may also produce poor
images (Figure 3). Although DR is more
tolerant of incorrect exposure factor
selection, it cannot make up for extra
noise, loss in subject contrast, and signal
out of its range of adjustment.
Exposure factor creep is a well-
known phenomenon related to the wide
exposure latitude of DR.8,9Observers tend
to complain about noise in DR imagesexposed at one-fourth to one-half of the
appropriate level. On the other hand, arti-
facts are generally not apparent until the
exposure exceeds 10 times the appropriate
level. Technologists soon learn to avoid
the unpleasant circumstance of repeating
an underexposed study by routinely
increasing the radiographic technique.
Thus, the potential for gross overexposure
exists in DR. Image optical density (OD),
the usual indicator of proper exposure, is
arbitrary in DR. Managment of exposurefactor in DR must rely on the value of a
derived exposure indicator, which itself is
subject to interference. However, pro-
grams that monitor the exposure indicator
have been shown to be effective in con-
trolling exposure factor in DR.10
System installation and maintenanceIn order to make good images, the DR
device must be properly calibrated, con-
figured, maintained, and operated. Every
individual DR device must be calibrated
for overall gain and uniformity.11 This is
usually performed during the initial
installation and should be repeated peri-
odically. Acquisition devices should be
calibrated for gain or sensitivity, and to
compensate for nonuniformity (Figures
4 and 5). Display devices should be cali-
brated to provide output according to the
DICOM Part 14 Grayscale Display
Function, including hard-copy devices,
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FIGURE 1. (A and B) Underexposed computed radiography (CR) images demonstrate increase in quan-
tum mottle and loss of contrast in dense features. These constitute approximately 9% of all rejected images.
These images were acquired on an Agfa CR System (Agfa Medical Systems, Ridgefield Park, NJ).
FIGURE 2. (A) Underexposed direct digital radiography (DR) at 125 kVp and 4.4 mAs caused
an exposure data recognition failure. (B) Repeated exposure at 7 mAs. These images were
acquired on a GE DR system (GE Medical Systems, Milwaukee, WI).
A B
A B
DR ARTIFACTS AND MISADVENTURES
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A B
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DR ARTIFACTS AND MISADVENTURES
FIGURE 3. (A) Overexposed computed radiography (CR) images demonstrate loss of contrast in skin and dense features. These constitute approxi-
mately 5% of all rejects. (B) Repeated exposure. These images were acquired on an Agfa CR System (Agfa Medical Systems, Ridgefield Park, NJ).
FIGURE 4. (A) Improper calibration of a computed radiography (CR) system causes loss of contrast in dense features. (B) Exposure repeated
after calibration for nonuniformity and sensitivity. These images were acquired on a Fuji CR System (Fujifilm Medical Systems, Stamford, CT).
A B
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soft-copy devices, and displays used for quality control (QC).12
Processing algorithms used by the DR system must be
designed to anticipate the use of this display function in order
to properly render the image for display. Not all vendors
adhere to this standard. Calibrated, high-quality QC monitors
are essential on every acquisition system and QC workstation.
Adjusting image processing on an uncalibrated monitor leads
to unsatisfactory images.
During the initial installation, it is important to make sure
that the DR system is properly configured with the most up-to-
date version of software, hardware, and durable goods. Multi-
ple vintages of imaging plates exist for CR, and some are not
universally compatible with CR hardware. The software and
settings should be consistent with the versions and settings in
operation with other individual DR systems at the site, includ-
ing examination-specific parameter settings (Figure 6). All DR
systems have an internally calculated estimate of exposure. The
DR system may need to be configured to report this value to the
digital image management system, and the image management
system may need to be configured to display it to the radiolo-
gist. When CR is introduced into an imaging operation, photo-
timers in all X-ray rooms need to be recalibrated to deliver the
appropriate exposure.13 The methodology for phototimer cali-
bration is different because DR density is adjustable.
Scheduled and unscheduled service should be done in a thor-
ough and timely manner, including reporting and documenting,
cleaning, and repairs. Operator functions include cleaning, report-
ing service interruptions, removing the unit from clinical service,
re-introducing the unit into clinical service, and documenting
service events (Figure 7). Service engineer functions include
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FIGURE 5. Improper calibration of digital radiography (DR). Note
interfaces of four detectors visible at arrows. This image was acquired
on a Canon DR system (Canon USA, Inc., Lake Success, NY).
FIGURE 6. (A) Computed radiography (CR) corduroy artifact (arrows) is an
interference pattern generated from the interaction of the line rate of a fixed
scatter reduction grid, the sampling rate of the detector, and display zoom fac-
tor and pixel dimensions. This image was taken on an Agfa CR system (Agfa
Medical Systems, Ridgefield Park, NJ). (B) These CR cassettes are marked
to indicate orientation when inserted into the CR scanner. Each orientation
was appropriate only for a specific scanner model. Inserting in the incorrect ori-
entation caused jams. (C) CR image displayed according to exam-specific
processing parameters in the main department. (D) Same image displayed
according to settings in orthopedic department. Images B, C and D were
acquired on a Fuji CR System (Fujifilm Medical Systems, Stamford, CT) .
A
B
C
DR ARTIFACTS AND MISADVENTURES
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DR ARTIFACTS AND MISADVENTURES
performing scheduled maintenance that
includes preventive maintenance and soft-
ware and hardware upgrades, as well as
unscheduled maintenance or repairs. On-site support for DR requires a team with
expertise not only in image acquisition, but
in picture archiving and communications
systems (PACS), radiology information
systems (RIS), technologist workflow,
image quality, and networks, as well.
Training and system operationDigital radiography systems must be
operated properly to produce good
images. Technologists are often unfamil-
iar with DR features and functions, and
may require additional training beyond
vendor applications training. Technolo-gists need to select the proper examina-
tion; in addition, they must properly
associate demographic and examination
information to the image, properly
manipulate the detector, and review the
image before releasing it to the image
management system. Beyond this, tech-
nologists need to know how to recover
from errors without repeating examina-
tions and need to follow exposure factor
control limits. Quality control processes
must be in place to detect and correct
unsatisfactory images (Figures 8, 9, and
10). Digital radiography requires a new
approach to QC and study reject analy-sis.14 Electronic images can disappear
without a trace: counting the films
remaining in the film bin is no longer a
useful method for determining the num-
ber of repeated images.
Double exposure is a classic operator
error that constitutes approximately 2%
of all rejected images. The consequence
of double exposure can be either a single
repeated examination, when an inani-
mate object is involved (Figure 11), or
FIGURE 7. Artifacts on clinical images constitute 3% of all rejects. (A) Artifact observed (arrow) after technologist frees jam from computed radiography
(CR). (B) CR plate discoloration (arrow). (C) CR plate defect in two different orientations (arrows). Images A, B, and C were acquired on an Agfa CR sys-
tem (Agfa Medical Systems, Ridgefield Park, NJ). (D) Dust on Fuji CR collection optics (arrows) (Fujifilm Medical Systems, Stamford, CT).
A B
C D
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two repeated examinations when two patients are involved
(Figure 12). In DR, double exposures can also be caused by
power interruptions and communications errors, as well as by
inadequate erasure secondary to overexposure or erasuremechanism failure.
Image processingAppropriate digital image processing is key to producing good
DR images. All DR systems have extremely wide latitude, which
means that connected to a display system with a relatively narrow
dynamic range, DR images have extremely low contrast. The pri-
mary purpose of image processing is to maximize the contrast of the
part of the image that contains relevant clinical details.15,16 To do this,
the DR system locates either the boundary of collimation or the bor-
der of the projected anatomy, and disregards details outside this
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FIGURE 8. (A) Artifact on computed radiography (CR) image
(arrows) released by technologist and reported by the radiologist.
(B) Same artifact (arrows) reported later on another image from the
same machine by the same radiologist. Images were acquired on an
Agfa CR system (Agfa Medical Systems, Ridgefield Park, NJ).
FIGURE 9. It is difficult to distinguish debris on this computed radiogra-
phy (CR) imaging plate from foreign bodies (arrows). The technologist
must open the cassette and inspect the plate or re-expose the cas-
sette. These errors constitute
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FIGURE 10. (A and B) Missing lines or pixels in computed radiography (CR) can indicate memory problems, digitization problems, or communi-
cation errors. Images were acquired on an Agfa CR system (Agfa Medical Systems, Ridgefield Park, NJ).
FIGURE 11. Double exposures with computed radiography (CR) requiring a single repeat study. (A) Backboard or gurney side rails. (B) Cas-
sette left in buckey tray during fluoroscopy. Images were acquired on an Agfa CR system (Agfa Medical Systems, Ridgefield Park, NJ).
AB
A B
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FIGURE 12. (A and B) Double exposures with computed radiography (CR) requiring two repeats.
Images were acquired on an Agfa CR system (Agfa Medical Systems, Ridgefield Park, NJ).
FIGURE 13. Exposure Data Recognizer (EDR)
failure, an inability of the software to determine
collimation boundaries. This type of failure can
be caused when the operator fails to follow colli-
mation rules or when interferences prevent the
software from detecting the collimation bound-
aries. It results in incorrect histogram analysis
and inappropriate rescaling. Image acquired on
the Fuji computed radiography system (Fujifilm
Medical Systems, Stamford, CT).
FIGURE 14. (A) Error in computed radiography (CR) automatic detection of the collimation field. (B) Manually collimated images. Images were
acquired on an Agfa CR system (Agfa Medical Systems, Ridgefield Park, NJ).
FIGURE 15. (A) Inappropriate processing
of pediatric digital radiography image by
vendor-supplied parameters suitable for
adults. (B) Image processed by parameters
modified by the customer. Images acquired
on GE DR system (GE Medical Systems,
Milwaukee, WI).
A B
A B
A B
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DR ARTIFACTS AND MISADVENTURES
boundary. Errors in collimation can causemistakes in detection of the boundary, with
a dramatic loss of image contrast (Figures
13 and 14).
The secondary function of image pro-
cessing is to customize contrast in the
region of interest (Table 1). This type of
image processing includes modifying the
image to enhance the contrast and sharp-
ness of some features while compromis-
ing the contrast and sharpness of others, as
well as modifying the image to make it
appear more like a conventional transillu-minated film. This secondary image pro-
cessing is applied in a manner that is
usually specific to the anatomic projec-
tion. Errors in the selection of the
anatomic projection can cause inappropri-
ate processing (Figure 15).
An auxiliary purpose of image process-
ing is to improve the usability of the digital
image.17 This includes imprinting demo-
graphic overlays, adding annotations,
applying borders and shadow masks, flip-
ping and rotating, increasing magnifica-tion, conjoining images for special
examinations like scoliosis, and modifying
the sequence of views. This processing
may require a separate QC workstation.
Image processing is not a panacea.
Misuses of image processing include
compensating for inappropriate radi-
ographic technique, compensating for
poor calibration of acquisition and dis-
play devices, and surreptitious deletion of
nondiagnostic images. Image processing
to recover nondiagnostic images to pre-vent re-exposure should be a last resort,
not a routine activity. Routine reprocess-
ing indicates a problem with automatic
image processing or technical practice.
Access to image-processing software is
essential to develop and maintain appro-
priate processing parameters.
Automatic image processing involves
assumptions about the radiographic tech-
nique, the composition of anatomic
region imaged, and the use of collima-
tion. A number of factors can interferewith the automatic detection of the
boundaries of the radiation field, includ-
ing nonparallel collimation, use of multi-
ple fields on a single imaging plate, poor
centering, implants (especially when they
overlie the boundary), and violation of
collimation rules provided by the vendor.
For example, placement of gonadal
shields is no longer trivial, but may
adversely affect image quality.
ConclusionsA multitude of factors affect DR
image quality, and no device or operator
is immune to unacceptable images. A
strategy for addressing images that just
didnt turn out right must be imple-
mented. Responsibilities for document-
ing, reporting, and taking corrective
action must be clearly established.
Wider dynamic range means that tech-
nologists have to pay attention to expo-
sure indicator values, instead of bright-ness and contrast. Without this attention,
patient dose will escalate. If exposure
indicator logs are available, they need to
be evaluated. If they arent, this will
need to be done manually. Vendors need
to make such logs available in conve-
nient digital form. New technologies
should be developed for dealing with
pediatric examinations and patients with
prosthetic devices. New image process-
ing strategies may be needed with these
special patients, as well.Thorough training and active onsite
support of the technical staff are crucial.
For many, this is a completely different
way of thinking about the imaging
process. Technologists are generally
eager to become involved and master this
new technology, but they need proper
training and guidance to use it effectively
to produce diagnostic-quality images.
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Table 1. Secondary image processing methods in CR
Process names by vendor*
Processing method Fuji Agfa Kodak
Remapping grayscales Gradation processing Sensitometry Look-up-table (LUT)Edge enhancement Frequency processing Edge contrast Unsharp mask
Noise reduction
Decomposition and modification Multi-objective frequency Musicaprocessing
Adjustment of tone scale for Dynamic range control Latitude reduction Enhanced visualizationlimited display processing (EVP)
Correction of streaks in Tomographic artifactlinear tomography suppression (TAS)
Dual energy imaging Energy subtraction
*Fuji CR (Fujifilm Medical Systems, Stamford, CT); Agfa CR (Agfa Medical Systems, Ridgefield Park, NJ); Kodak CR (Eastman Kodak, Rochester, NY).These items are different methods, but have equivalent purposes.
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DR ARTIFACTS AND MISADVENTURES
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