Fields Multi-Modality Imaging and Modeling. problem by Shuo Li (GE)

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1 problem by Shuo Li (GE)

2 body part model geometry material properties physiological properties

3 organ different tissue properties

4 scans multiple modalities (ct, mri, pet,...)

5

6 inverse problem different tissue properties

7 application

8 application baby girl is born

9 application baby girl is born create a model for the baby population statistics for girls amniocentesis blood sample

10 4 weeks-old How healthy is her spine?

11 4 weeks-old How healthy is her spine? population statistics + particular information

12 4 weeks-old How healthy is her spine? population statistics + particular information likelihood that the spine is healthy

13 take a ct scan update the tissue properties in the model compare tissue properties of spine particular girl healthy average girl

14 take a ct scan update the tissue properties in the model new information population statistics simulate mri scan

15 keep updating model

16 keep updating model new scans of the girl new modalities each addition to the girl s model adds to the population statistics

17 toy problem

18 Fields Multi-Modality Imaging and Modeling toy problem 1 organ e w e l eb tissue properties cuteness (C) fluffiness (F)

19 toy problem C F C F C F C F C F C F

20 toy problem simulate scans 2 modalities scan A (C, F) =! A C +(1! A )F scan B (C, F) =! B C +(1! B )F

21 toy problem acquire material properties from scans method 1 minimize J (C, F) =k (C, F) I A k k (C, F) I B k 2 2 least squares with constraints obtain tissue characteristics for each weeble

22 toy problem scan A scan B cuteness fluffiness

23 toy problem acquire material properties from scans method 2 learning algorithm no assumption on forward functions (C, F) (C, F) obtain tissue characteristics for each weeble

24 toy problem scan A scan B cuteness fluffiness

25 toy problem training data forward functions (C, F) (C, F)

26 toy problem scan A C F (C, F)

27 toy problem scan A scan B C F (C, F) C F (C, F)

28 toy problem average healthy weeble cuteness fluffiness

29 toy problem average healthy weeble P (C = 1) P (C = 1 2 ) P (C = 0)

30 toy problem average healthy weeble P (F = 1) P (F = 1 2 ) P (F = 0)

31 toy problem abnormal weeble scan A scan B

32 toy problem abnormal weeble cuteness fluffiness

33 future work real setting

34 future work real setting how to derive tissue properties from scans (ct, mri,...)

35 future work real setting how to derive tissue properties from scans (ct, mri,...) how to simulate scans (ct, mri,...)

36 future work real setting how to derive tissue properties from scans (ct, mri,...) how to simulate scans (ct, mri,...) large data set of medical images and real tissue properties (atlas)

37 future work real setting how to derive tissue properties from scans (ct, mri,...) how to simulate scans (ct, mri,...) large data set of medical images and real tissue properties (atlas) good algorithm to compare tissue properties to detect abnormalities

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