Quantitative Ultrasound (QUS) Considerations · QUS-based imaging, in its most general sense, is...
Transcript of Quantitative Ultrasound (QUS) Considerations · QUS-based imaging, in its most general sense, is...
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Quantitative Ultrasound (QUS)
William D. O’Brien, Jr.
Bioacoustics Research Laboratory
Department of Electrical and Computer Engineering
University of Illinois, Urbana, IL
Support: R01 CA111289
AAPM, August 2, 2011
ConsiderationsModel-based concept
Physical phantoms (validation steps)
Biological phantoms (CHO, 3T3)
3-tumor comparisons (FA, 4T1, EHS)
Further comparisons (4T1, EHS)
Cross-platform comparisons (4T1, MAT)
Some final thoughts
ConsiderationsModel-based concept
Physical phantoms (validation steps)
Biological phantoms (CHO, 3T3)
3-tumor comparisons (FA, 4T1, EHS)
Further comparisons (4T1, EHS)
Cross-platform comparisons (4T1, MAT)
Some final thoughts
QUSModel-based imaging, in its most general sense, is the application of a priori (known or assumed) information to augment in vivoacquired image-based data.
The cellular-level and tissue-level information is being modeled mathematically to represent microanatomical scatterers.
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ConsiderationsModel-based concept
Physical phantoms (validation steps)
Biological phantoms (CHO, 3T3)
3-tumor comparisons (FA, 4T1, EHS)
Further comparisons (4T1, EHS)
Cross-platform comparisons (4T1, MAT)
Some final thoughts
Biological Phantom: Cell Model
Biological Phantom: CHO sizes
CHO Nucleus Radius: 3.3 µm
CHO Cell Radius: 6.7 µm
Biological Phantom: CHO
CHO: 490
Mcells/mL
CHO: 230
Mcells/mL
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Biological Phantom: CHO Results
Biological Phantom: 3T3 Results
Conclusions, for now
The concentric sphere model shows good quantitative agreement with the BSC measurements for both CHO and 3T3 cell pellets at low cell concentrations (volume density < 10%).
The concentric sphere model is able to predict the size and impedance –statistically speaking -- of both cell nucleus and cytoplasm at low cell concentrations.
ConsiderationsModel-based concept
Physical phantoms (validation steps)
Biological phantoms (CHO, 3T3)
3-tumor comparisons (FA, 4T1, EHS)
Further comparisons (4T1, EHS)
Cross-platform comparisons (4T1, MAT)
Some final thoughts
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Light Microscopy ComparisonsFibroadenoma Carcinoma (4T1) Sarcoma
(EHS)
Acini ≈ 100 µm More uniform Clumped cellular
distribution structures, less
of scatterers uniform scattering
Feature analysis shows distinctions between the three
kinds of tumors
QUS Size Images (Scatterer Diameter)
Fibroadenoma Carcinoma Sarcoma
ConsiderationsModel-based concept
Physical phantoms (validation steps)
Biological phantoms (CHO, 3T3)
3-tumor comparisons (FA, 4T1, EHS)
Further comparisons (4T1, EHS)
Cross-platform comparisons (4T1, MAT)
Some final thoughts
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Further: Modeling a Cell & Tissue
Parameters varied in fit: gain factor (between
measured and model curves), the ratio of the total
cell diameter to nuclear diameter (RC / RN), nuclear
radius (RN), nuclear impedance (I0), and maximum
cytoskeletal impedance (I1).
Further: 4T1 & EHS
Carcinoma: ●; Sarcomas: ■
Further: 4T1 & EHS
Carcinoma: ●; Sarcomas: ■
Conclusions, for now
Conventional models were not adequate to separate the carcinoma from the sarcoma.
New models were constructed that yielded separation of the carcinoma from the sarcoma.
Multiparameter approaches suggest better classification of tissues
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ConsiderationsModel-based concept
Physical phantoms (validation steps)
Biological phantoms (CHO, 3T3)
3-tumor comparisons (FA, 4T1, EHS)
Further comparisons (4T1, EHS)
Cross-platform comparisons (4T1, MAT)
Some final thoughts
Cross-platform Capabilities
Demonstrate feasibility of in vivoarray-based system-independent measurements of:
Attenuation
Backscatter coefficient
Cross-platform Capabilities
Ultrasonix RP system
5, 7.5 and 15 MHz linear arrays
Siemens Acuson S2000
9 and 15 MHz arrays
Zonare Z.one
7 and 10 MHz linear arrays
VisualSonics Vevo2100
15 MHz linear array
40 MHz linear array for 3D images
Cross-platform Capabilities
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Cross-platform Capabilities
4T1 mouse mammary carcinoma
BALB/c mice
17 - 4T1 tumors
6.3 – 620 mm3
MAT B III rat mammary adenocarcinoma
Sprague Dawley rats
10 - MAT tumors
12– 3100 mm3
Cross-platform Capabilities –4T1
D = 5.2 mm
5.6 x 6.0 x 4.6
D = 10.6 mm
12.8 x 8.2 x 12.5
Cross-platform Capabilities -MAT
D = 10.4 mm
15.6 x 12.2 x 6.4
D = 2.9 mm
5.2 x 3.4 x 1.5
Cross-platform Capabilities
V = 102 - 103 mm3 => D = 5.8 - 12.4 mm
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Conclusions, for now
Reasonable agreement obtained across imaging platforms.
ConsiderationsModel-based concept
Physical phantoms (validation steps)
Biological phantoms (CHO, 3T3)
3-tumor comparisons (FA, 4T1, EHS)
Further comparisons (4T1, EHS)
Cross-platform comparisons (4T1, MAT)
Some final thoughts
Final Thoughts, for now
Cell- and tissue-based studies allow the development of techniques for constructing better models to quantify tissue microstructure.
Challenges remain to quantify tissue microstructure, but we are having some success.
Thanks