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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 on theme: "IMAGE RETREAT Presenter: Ching-Yi Hsieh Presenter: Ching-Yi Hsieh Advisor: Dr. Norman Cheng Advisor: Dr. Norman Cheng Major: medical physics master program."— Presentation transcript:

1 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

2 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

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

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

5 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


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