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Concept of operation
Hybrid DBT-NRI direct model
Phase-based SAR imaging
Conclusions and perspectives References
Fusion of Digital Breast Tomosynthesis and Microwave Radar
Imaging for a High-Contrast Breast Cancer Imaging Algorithm
Matthew Tivnan1,2, Ann Morgenthaler1, Jose Martinez Lorenzo1, Richard Moore1, Carey Rappaport1
1Gordon CenSSIS / ALERT Center of Excellence, Northeastern University, 02115 Boston, USA, rappaport@coe.neu.edu
2Laboratoire des Signaux et Systèmes, CentraleSupélec, 91192 Gif-sur-Yvette cedex, France, matthew.tivnan@lss.supelec.fr
X-ray
detectors
X-ray
source
Transmitting
antenna
Array of receiving
antennas
X-ray (DBT)
Microwave (NRI)
Digital Breast Tomosynthesis (DBT) and
Mircowave Nearfield Radar Imaging (NRI)
measurements co-collected in a dual scan.
-The difference between the measured case and the healthy background shows a
clear anomaly at the lesion position. The 3D position of the lesion is successfully
recovered using the SAR imaging algorithm.
The effects of uncertainty in the assignment of dielectric properties must be
analyzed. Is this approach robust to noise?
-Further data fusion between the two modalities may be possible by introducing a
priori knowledge about the tissue structure.
Dielectric properties of breast tissue
The DBT image is closely related to a fat content distribution which, through the
relationships established in previous studies, yields the distribution of frequency-
dependent permittivity and conductivity corresponding to healthy breast tissue.
1. D. Kopans, Breast Journal, vol. 17, No. 6, pp. 638-644. Nov., 2011.
2. C. Rappaport, RSNA 100th Scientific Assembly and Annual Meeting, Chicago, Nov., 2014.
3. R. Obermeier., IEEE Int. Antennas and Propagation Symposium, Memphis, July 2014.
4. J. Martinez-Lorenzo, IEEE Int. Antennas and Propagation Symposium, July 2013, pp. 2038 - 2039.
5. R. Obermeier Northeast Bioengineering Conference, Boston, April 2014.
6. M. Tivnan, Northeast Bioengineering Conference, Boston, April 2014
7. M. Lazebnik, Phys. Med. Biol., vol. 52, No. 6, pp. 6093-6115, 2007.
8. Q. Dong, IEEE Int. Symposium on Antennas and Propagation, July 2007, Honolulu pp. 1789-1792.
where:
𝐼 π‘Ÿπ‘’ is the reconstructed image at the 𝒖 𝒕𝒉
imaging point
𝐸(π‘Ÿπ‘›, π‘Ÿπ‘, 𝑓𝑙)is the scattered field at the 𝒑 𝒕𝒉
receiver generated by the 𝒏 𝒕𝒉
antenna
𝛷 𝑛
π‘Ÿπ‘›, π‘Ÿπ‘’, 𝑓𝑙 is the phase between the 𝒏 𝒕𝒉
transmitter and the 𝒖 𝒕𝒉
imaging point
𝛷 𝑝
π‘Ÿπ‘, π‘Ÿπ‘’, 𝑓𝑙 is the phase between the 𝒑 𝒕𝒉
receiver and the 𝒖 𝒕𝒉
imaging point
x z
y
Numerical Experiment
Dimensions: 109 x 230 x 68 mm
Lesion: 6 x 12 x 6 mm
centered at (76,153,30) mm
Transmitters: Rectangular array of 50
ideal transmitters
at z = 0 mm plane
Receivers: Rectangular array of 50
ideal receivers
at z = 68 mm plane
Frequencies: 1, 1.5, 2, 2.5, 3, 3.5, 4 GHz
1. DBT provides high-
resolution 3D
structural information
2. Adipose content is
used to compute
dielectric properties
of healthy breast
tissue
3. Total Field for the healthy
case is simulated using 3D
FDFD
4. Measured field is subtracted
to highlight the anomalous
component due to the lesion
Breast
tissue
Lesion
𝐼 π‘Ÿπ‘’ = 𝐸(π‘Ÿπ‘›, π‘Ÿπ‘, 𝑓𝑙)𝑒[𝛷 𝑛 π‘Ÿ 𝑛,π‘Ÿ 𝑒,𝑓 𝑙 +𝛷 𝑝 π‘Ÿ 𝑝,π‘Ÿ 𝑒,𝑓 𝑙 ]
𝑛,𝑝,𝑙

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tivnan_URSI_France_poster

  • 1. Concept of operation Hybrid DBT-NRI direct model Phase-based SAR imaging Conclusions and perspectives References Fusion of Digital Breast Tomosynthesis and Microwave Radar Imaging for a High-Contrast Breast Cancer Imaging Algorithm Matthew Tivnan1,2, Ann Morgenthaler1, Jose Martinez Lorenzo1, Richard Moore1, Carey Rappaport1 1Gordon CenSSIS / ALERT Center of Excellence, Northeastern University, 02115 Boston, USA, rappaport@coe.neu.edu 2Laboratoire des Signaux et SystΓ¨mes, CentraleSupΓ©lec, 91192 Gif-sur-Yvette cedex, France, matthew.tivnan@lss.supelec.fr X-ray detectors X-ray source Transmitting antenna Array of receiving antennas X-ray (DBT) Microwave (NRI) Digital Breast Tomosynthesis (DBT) and Mircowave Nearfield Radar Imaging (NRI) measurements co-collected in a dual scan. -The difference between the measured case and the healthy background shows a clear anomaly at the lesion position. The 3D position of the lesion is successfully recovered using the SAR imaging algorithm. The effects of uncertainty in the assignment of dielectric properties must be analyzed. Is this approach robust to noise? -Further data fusion between the two modalities may be possible by introducing a priori knowledge about the tissue structure. Dielectric properties of breast tissue The DBT image is closely related to a fat content distribution which, through the relationships established in previous studies, yields the distribution of frequency- dependent permittivity and conductivity corresponding to healthy breast tissue. 1. D. Kopans, Breast Journal, vol. 17, No. 6, pp. 638-644. Nov., 2011. 2. C. Rappaport, RSNA 100th Scientific Assembly and Annual Meeting, Chicago, Nov., 2014. 3. R. Obermeier., IEEE Int. Antennas and Propagation Symposium, Memphis, July 2014. 4. J. Martinez-Lorenzo, IEEE Int. Antennas and Propagation Symposium, July 2013, pp. 2038 - 2039. 5. R. Obermeier Northeast Bioengineering Conference, Boston, April 2014. 6. M. Tivnan, Northeast Bioengineering Conference, Boston, April 2014 7. M. Lazebnik, Phys. Med. Biol., vol. 52, No. 6, pp. 6093-6115, 2007. 8. Q. Dong, IEEE Int. Symposium on Antennas and Propagation, July 2007, Honolulu pp. 1789-1792. where: 𝐼 π‘Ÿπ‘’ is the reconstructed image at the 𝒖 𝒕𝒉 imaging point 𝐸(π‘Ÿπ‘›, π‘Ÿπ‘, 𝑓𝑙)is the scattered field at the 𝒑 𝒕𝒉 receiver generated by the 𝒏 𝒕𝒉 antenna 𝛷 𝑛 π‘Ÿπ‘›, π‘Ÿπ‘’, 𝑓𝑙 is the phase between the 𝒏 𝒕𝒉 transmitter and the 𝒖 𝒕𝒉 imaging point 𝛷 𝑝 π‘Ÿπ‘, π‘Ÿπ‘’, 𝑓𝑙 is the phase between the 𝒑 𝒕𝒉 receiver and the 𝒖 𝒕𝒉 imaging point x z y Numerical Experiment Dimensions: 109 x 230 x 68 mm Lesion: 6 x 12 x 6 mm centered at (76,153,30) mm Transmitters: Rectangular array of 50 ideal transmitters at z = 0 mm plane Receivers: Rectangular array of 50 ideal receivers at z = 68 mm plane Frequencies: 1, 1.5, 2, 2.5, 3, 3.5, 4 GHz 1. DBT provides high- resolution 3D structural information 2. Adipose content is used to compute dielectric properties of healthy breast tissue 3. Total Field for the healthy case is simulated using 3D FDFD 4. Measured field is subtracted to highlight the anomalous component due to the lesion Breast tissue Lesion 𝐼 π‘Ÿπ‘’ = 𝐸(π‘Ÿπ‘›, π‘Ÿπ‘, 𝑓𝑙)𝑒[𝛷 𝑛 π‘Ÿ 𝑛,π‘Ÿ 𝑒,𝑓 𝑙 +𝛷 𝑝 π‘Ÿ 𝑝,π‘Ÿ 𝑒,𝑓 𝑙 ] 𝑛,𝑝,𝑙