IMAGE RETREAT Presenter: Ching-Yi Hsieh Presenter: Ching-Yi Hsieh Advisor: Dr. Norman Cheng Advisor: Dr. Norman Cheng Major: medical physics master program.

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Presentation transcript:

IMAGE RETREAT Presenter: Ching-Yi Hsieh Presenter: Ching-Yi Hsieh Advisor: Dr. Norman Cheng Advisor: Dr. Norman Cheng Major: medical physics master program Major: medical physics master program Research interest Research interest

The method of quantifying susceptibilities in objects Certain tissue susceptibilities may reflect health conditions of an individual. Certain tissue susceptibilities may reflect health conditions of an individual. In-vivo measurement In-vivo measurement

Simulation images of complex sum analysis method w/o noise Reduce the uncertainty of  within 1% MagnitudePhase 4096 x > 512 x 512 Varied radii

Images of gel phantom Least square fit method Complex sum method Condition: TE = 5 ms Χ = -9 ppm Bo = 1.5 T magnitudephase

Result and future study When the tube radius is 1 pixel without the presence of noise, the solved susceptibilities were within 1% accuracy (compared to -9 ppm). When the tube radius is 1 pixel without the presence of noise, the solved susceptibilities were within 1% accuracy (compared to -9 ppm). With the larger tube radius, the sloved susceptibilities are closer to -9 ppm. With the larger tube radius, the sloved susceptibilities are closer to -9 ppm. Add Gaussian noise Add Gaussian noise