scientistposition presentation
TRANSCRIPT
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WEIHUA ZHOU, LINLIN CONG11/07 /2011
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
SOUTHERN ILLINOIS UNIVERSITY CARBONDALE
Various reconstruction algorithms for Tomosnythesis
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Current Technology of Breast Cancer Detection
Early detection of breast cancer is viewed as the best hope to decrease breast cancer mortality.
Mammography The most commonly accomplished screening tool for early
detection
Supplemental tools Breast Ultrasound Breast CT Breast MRI Biopsy
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X-ray Attenuation Model
xI T
T
I
Voxel j
Pixel i
Projection Image
Reconstructed Volumee
xIT
: incident intensity : transmitted intensity
: attenuation coefficient
: the length of the path where x-ray passes through the voxel
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Current Tomosynthesis Imaging Geometry
X-ray tube rotates along an arc path above the breast
Series of low dosage images are acquired at different angles
X-Ray tube
Reconstructed planes
Compression paddle
Breast
Digital detector
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Reconstruction Algorithms of Digital Breast Tomosynthesis
Reconstruct 3D object volume based on acquired 2D projection images
Categories Mathematic reconstruction methods (SAA / BP) Filter-based reconstruction methods (FBP / MITS) Statistical reconstruction methods (MLEM, MOSC,
etc) Algebraic reconstruction methods (ART, SART, etc)
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Reconstruction Algorithm: SAA (Shift-And-Add)
Z
Plane I
DetectorP i
Compression paddle
X-ray tubes
O
(1)
Note: O is the center of the reconstructed plane I. The shift amount of any pixel on Plane I will be equal to the shift amount of O.
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Reconstruction Algorithm: BP (Back-Projection)
Note: O is the center of the reconstructed plane I. The shift amount of any pixel A on Plane I varies with its location.
X-ray tubes
Z
Plane I
DetectorP i
Compression paddle
OA
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Reconstruction Algorithm: FBP (Filtered Back Projection)
Take BP as the foundationApply high-freq and low-freq filters to
enhance signals and suppress the noiseFilters
Ramp Filter Hamming Filter
Gaussian Filter
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Reconstruction Algorithm:MLEM (Maximum Likelihood Expectation Maximization)
Originally invented by Lange and FesslerML: maximize the likelihood of getting the projection T from the incident X-ray intensity I and attenuation coefficient μ.
EM: one of the methods to solve ML problem.Iterative equation*:
i
ul
iin
ji
i i
ul
iji
n
jn
j
n
j
n
j
nj
el
ei
n
in
Il
TIl
)(
)(
,)(
,
.
,
)(
)()()()1(
,
* Wu, T., et al, “Tomographic mammography using a limited number of low-dose cone-beam projection images,” Med. Phys. 30, 365-380 (2003).
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Reconstruction Algorithm: SART (Simultaneous Algebraic Reconstruction Technique)
Originated from ART and was invented by Henderson
Iteratively solves the attenuation equationsIterative equation *:
i ji
ij ij
j
njiji
ij
n
j
n
j
n
j
nj l
l
lDl
,
)()()()1(
* Zhang, Y., et al.,“A comparative study of limited-angle cone-beam reconstruction methods for breast tomosynthesis,” Med. Phys. 33(10), 3781-3795 (2006).
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Image Reconstruction with Breast Phantom
• Standard breast biopsy training phantom with solid masses and two micro-calcification clusters.
• 25 projection images at a total exposure of 100 mAs (4mAs/projection) were obtained. View angle 48 degrees.
Low Dosage Middle Projection
Breast Biopsy Training Phantom
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In-plane slice images of FBP and MLEM
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Image Reconstruction with Breast Phantom
(a) BP
(b) FBP
(c) MLEM
(d) SART
Reconstructed ROIs of a mass (z=45 mm above the detector).
(a) BP
(b) FBP
(c) MLEM
(d) SART
Reconstructed ROIs of a micro-cluster / micro-calcification (z=45 mm above the detector).
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Comparisons of Reconstruction Methods
MITS and FBP are fast-speed reconstruction methods with deblurring algorithms to remove out-of-plane blur
MLEM and SART are iterative methods based on ray-tracing computation; they can provide good image quality, but need a long running time
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Acknowledgements
Appreciate our collaborators at The University of North Carolina at Chapel Hill (UNC), North Carolina State University (NCSU), Southern Illinois University (SIU).
o The related work is supported by U.S. National Institutes of Health (NIH/NCI R01 CA134598-01A1).
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Thank you