TY - JOUR
T1 - Mapping electrical properties heterogeneity of tumor using boundary informed electrical properties tomography (BIEPT) at 7T
AU - Wang, Yicun
AU - Shao, Qi
AU - Van de Moortele, Pierre Francois
AU - Racila, Emilian
AU - Liu, Jiaen
AU - Bischof, John
AU - He, Bin
N1 - Funding Information:
National Institutes of Health, Grant/Award Number: NIH EB017069, NIH EB014353, NIH MH114233, NIH EB021027, NIH , NS096761, NIH HL117664, NIH EB015894, NIH NS076408, NIH RR026783 and NIH EB008389; National Science Foundation, Grant/Award Number: NSF CBET-1450956 and NSF CBET-1264782; WM KECK Foundation
Funding Information:
This work was supported in part by NIH EB017069, NIH EB014353, NIH MH114233, NIH EB021027, NIH NS096761, NIH HL117664, NIH EB015894, NIH NS076408, NIH RR026783, NIH EB008389, NSF CBET‐1450956, NSF CBET‐1264782, and WM KECK Foundation. The authors thank Dr. Gregor Adriany for MRI hardware assistance; Drs. Michael Garwood, Patrick Bolan and Michael Nelson for their inputs on cancer imaging; Drs. Long Yu and Ting Yang for discussions on numerical analysis; Mr. Kai Yu for inputs on phantom construction; Ms. Jiaoyue Liu for artwork assistance and Mr. Christopher Cline for manuscript editing.
Funding Information:
This work was supported in part by National Institutes of Health, Grant/Award Numbers: NIH EB017069, NIH EB014353, NIH MH114233, NIH EB021027, NIH NS096761, NIH HL117664, NIH EB015894, NIH NS076408, NIH RR026783, and NIH EB008389; National Science Foundation, Grant/Award Numbers: NSF CBET-1450956, and NSF CBET-1264782; WM KECK Foundation. The authors thank Dr. Gregor Adriany for MRI hardware assistance; Drs. Michael Garwood, Patrick Bolan and Michael Nelson for their inputs on cancer imaging; Drs. Long Yu and Ting Yang for discussions on numerical analysis; Mr. Kai Yu for inputs on phantom construction; Ms. Jiaoyue Liu for artwork assistance and Mr. Christopher Cline for manuscript editing.
Publisher Copyright:
© 2018 International Society for Magnetic Resonance in Medicine
PY - 2019/1
Y1 - 2019/1
N2 - Purposes: To develop and evaluate a boundary informed electrical properties tomography (BIEPT) technique for high-resolution imaging of tumor electrical properties (EPs) heterogeneity on a rodent tumor xenograft model. Methods: Tumor EP distributions were inferred from a reference area external to the tumor, as well as internal EP spatial variations derived from a plurality of relative transmit B1 measurements at 7T. Edge sparsity constraint was enforced to enhance numerical stability. Phantom experiments were performed to determine the imaging accuracy and sensitivity for structures of various EP values, as well as geometrical sizes down to 1.5 mm. Numerical simulation of a realistic rodent model was used to quantify the algorithm performance in the presence of noise. Eleven athymic rats with human breast cancer xenograft were imaged in vivo, and representative pathological samples were acquired for comparison. Results: Reconstructed EPs of the phantoms correspond well to the ground truth acquired from dielectric probe measurements, with the smallest structure reliably detectable being 3 mm. EPs heterogeneity inside a tumor is successfully retrieved in both simulated and experimental cases. In vivo tumor imaging results demonstrate similar local features and spatial patterns to anatomical MRI and pathological slides. The imaged conductivity of necrotic tissue is higher than that of viable tissues, which agrees with our expectation. Conclusion: BIEPT enables robust detection of tumor EPs heterogeneity with high accuracy and sensitivity to small structures. The retrieved quantitative EPs reflect tumor pathological features (e.g., necrosis). These results provide strong rationale to further expand BIEPT studies toward pathological conditions where EPs may yield valuable, non-invasive biomarkers.
AB - Purposes: To develop and evaluate a boundary informed electrical properties tomography (BIEPT) technique for high-resolution imaging of tumor electrical properties (EPs) heterogeneity on a rodent tumor xenograft model. Methods: Tumor EP distributions were inferred from a reference area external to the tumor, as well as internal EP spatial variations derived from a plurality of relative transmit B1 measurements at 7T. Edge sparsity constraint was enforced to enhance numerical stability. Phantom experiments were performed to determine the imaging accuracy and sensitivity for structures of various EP values, as well as geometrical sizes down to 1.5 mm. Numerical simulation of a realistic rodent model was used to quantify the algorithm performance in the presence of noise. Eleven athymic rats with human breast cancer xenograft were imaged in vivo, and representative pathological samples were acquired for comparison. Results: Reconstructed EPs of the phantoms correspond well to the ground truth acquired from dielectric probe measurements, with the smallest structure reliably detectable being 3 mm. EPs heterogeneity inside a tumor is successfully retrieved in both simulated and experimental cases. In vivo tumor imaging results demonstrate similar local features and spatial patterns to anatomical MRI and pathological slides. The imaged conductivity of necrotic tissue is higher than that of viable tissues, which agrees with our expectation. Conclusion: BIEPT enables robust detection of tumor EPs heterogeneity with high accuracy and sensitivity to small structures. The retrieved quantitative EPs reflect tumor pathological features (e.g., necrosis). These results provide strong rationale to further expand BIEPT studies toward pathological conditions where EPs may yield valuable, non-invasive biomarkers.
KW - electrical properties tomography (EPT)
KW - electromagnetic simulation
KW - multi-channel B mapping
KW - tumor heterogeneity
KW - ultra-high-field MRI
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U2 - 10.1002/mrm.27414
DO - 10.1002/mrm.27414
M3 - Article
C2 - 30230603
AN - SCOPUS:85053542485
SN - 0740-3194
VL - 81
SP - 393
EP - 409
JO - Magnetic Resonance in Medicine
JF - Magnetic Resonance in Medicine
IS - 1
ER -