In vivo high-resolution conductivity imaging of the human leg using MREIT: the first human experiment.
We present the first in vivo cross-sectional conductivity image of the human leg with 1.7 mm pixel size using the magnetic resonance electrical impedance tomography (MREIT) technique. After a review of its experimental protocol by an Institutional Review Board (IRB), we performed MREIT imaging experiments of four human subjects using a 3 T MRI scanner. Adopting thin and flexible carbon-hydrogel electrodes with a large surface area and good contact, we could inject as much as 9 mA current in a form of 15 ms pulse into the leg without producing a painful sensation and motion artifact. Sequentially injecting two imaging currents in two different directions, we collected induced magnetic flux density data inside the leg. Scaled conductivity images reconstructed by using the single-step harmonic B(z) algorithm well distinguished different parts of the subcutaneous adipose tissue, muscle, crural fascia, intermuscular septum and bone inside the leg. We could observe spurious noise spikes in the outer layer of the bone primarily due to the MR signal void phenomenon there. Around the fat, the chemical shift of about two pixels occurred obscuring the boundary of the fat region. Future work should include a fat correction method incorporated in the MREIT pulse sequence and improvements in radio-frequency coils and image reconstruction algorithms. Further human imaging experiments are planned and being conducted to produce conductivity images from different parts of the human body.
Department of Biomedical Engineering, Kyung Hee University, Yongin, Gyeonggi 446-701, Korea.
Hyung Joong
HJ
Kim
Young Tae
YT
Kim
Atul S
AS
Minhas
Woo Chul
WC
Jeong
Eung Je
EJ
Woo
Jin Keun
JK
Seo
O Jung
OJ
Kwon
D000328:Adult; D000465:Algorithms; D017097:Electric Impedance; D004867:Equipment Design; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007866:Leg; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods; D008297:Male; D012815:Signal Processing, Computer-Assisted; D014054:Tomography / Q000295:instrumentation / Q000379:methods