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논문 기본 정보

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학술대회자료
저자정보
Kiwan Jeon (국가수리과학연구소) Hyung Joong Kim (경희대학교) Chang-Ock Lee (한국과학기술대학교) Jin Keun Seo (연세대학교) Eung Je Woo (경희대학교)
저널정보
한국산업응용수학회 한국산업응용수학회 학술대회 논문집 한국산업응용수학회 학술대회 논문집 Vol.5 No.1
발행연도
2010.4
수록면
159 - 162 (4page)

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Conductivity imaging based on the current-injection MRI technique has been developed in magnetic resonance electrical impedance tomography (MREIT). Injection current through a pair of surface electrodes induces a magnetic flux density distribution inside an imaging object, which results in extra field inhomogeneity. We can extract phase changes related with the current injection and obtain an image of the induced magnetic flux density. Without rotating the object inside the bore, we can measure only one component B<SUB>z</SUB> of the magnetic flux density B = (B<SUB>x</SUB>;B<SUB>y</SUB>;B<SUB>z</SUB>). Based on a relation between the internal conductivity distribution and B<SUB>z</SUB> data subject to multiple current injections, one may reconstruct cross-sectional conductivity images. As the image reconstruction algorithm, we have been using the harmonic B<SUB>z</SUB> algorithm in numerous experimental studies. Performing conductivity imaging of intact animal and human subjects, we found technical difficulties that are originated from the MR signal void phenomena in local regions of bones, lungs and gas-filled tubular organs. Measured B<SUB>z</SUB> data inside such a problematic region contains an excessive amount of noise that deteriorates the conductivity image quality. In order to alleviate this technical problem, we applied hybrid methods incorporating the ramp-preserving denoising, the harmonic inpainting with isotropic diffusion and ROI imaging using the local harmonic B<SUB>z</SUB> algorithm. These methods allow us to produce conductivity images of intact animals with best achievable quality. We suggest a guideline to choose a hybrid method depending on the overall noise level and existence of distinct problematic regions of MR signal void.

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UCI(KEPA) : I410-ECN-0101-2012-410-003696307