TY - JOUR
T1 - Rapid Estimation of Object Movements in Magnetic Induction Tomography
AU - Mamatjan, Yasin
AU - Roula, Mohammed
AU - Wubuli, Shabuerjiang
N1 - Special Issue on: Developments and Issues in Medical Imaging
PY - 2018/8
Y1 - 2018/8
N2 - Magnetic induction tomography (MIT) is a contactless, inexpensive and non-invasive technique for imaging the conductivity distribution inside a body. A time-difference imaging can be used for monitoring the progression of stroke or oedema. However, MIT signals are more sensitive to body movements than the conductivity changes inside the body, because small movements during data acquisition can overwhelm the signals of interest and cause significant image artefacts. Thus, it is crucial to accurately estimate and compensate body movements for image reconstruction or alert clinicians to avoid misinterpretation. We propose frequency domain analysis and statistical approaches for identifying and estimating object movements from MIT data prior to the image reconstruction step. Results show that high amounts of movements totally distorted the images, whereas the proposed approaches produced good performance on elimination of image artefacts and its estimation while maintaining good computational efficiency for patient monitoring.
AB - Magnetic induction tomography (MIT) is a contactless, inexpensive and non-invasive technique for imaging the conductivity distribution inside a body. A time-difference imaging can be used for monitoring the progression of stroke or oedema. However, MIT signals are more sensitive to body movements than the conductivity changes inside the body, because small movements during data acquisition can overwhelm the signals of interest and cause significant image artefacts. Thus, it is crucial to accurately estimate and compensate body movements for image reconstruction or alert clinicians to avoid misinterpretation. We propose frequency domain analysis and statistical approaches for identifying and estimating object movements from MIT data prior to the image reconstruction step. Results show that high amounts of movements totally distorted the images, whereas the proposed approaches produced good performance on elimination of image artefacts and its estimation while maintaining good computational efficiency for patient monitoring.
KW - Magnetic induction tomography
KW - movement estimation
KW - movement compensation
KW - Fast Fourier Transform (FFT)
KW - Independent Component Analysis (ICA)
U2 - 10.1504/IJBET.2018.094297
DO - 10.1504/IJBET.2018.094297
M3 - Article
VL - 27
SP - 290
EP - 302
JO - International Journal of Biomedical Engineering and Technology
JF - International Journal of Biomedical Engineering and Technology
SN - 1752-6418
IS - 4
M1 - 179262
ER -