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Ter Haar Romeny, FEV MIT AI Lab Automatic Polyp Detection.

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Presentation on theme: "Ter Haar Romeny, FEV MIT AI Lab Automatic Polyp Detection."— Presentation transcript:

1 ter Haar Romeny, FEV MIT AI Lab Automatic Polyp Detection

2 ter Haar Romeny, FEV Enhancement by Gaussian curvature PMS CT slice with tagged residual sticking to the wall Same slice after electronic cleansing Philips MS Electronic colon cleansing

3 ter Haar Romeny, FEV Current visualization Normal dose Smooth surface Low dose Blobs appear Normal dose Rough surface

4 ter Haar Romeny, FEV Proposed solutions Bilateral filtering  blobs Gradient smoothing  rough surface

5 ter Haar Romeny, FEV Results: normal dose

6 ter Haar Romeny, FEV Results: all dose levels 1.6 mAs 6.25 mAs64 mAs

7 ter Haar Romeny, FEV Extract vasculature with ‘vesselness’ From T1w MRI with contrast Frangi’s vesselness measure [Frangi et al., 1998] Enhance tubular structures while reducing other morphologies E. Brunenberg, MSc project

8 ter Haar Romeny, FEV Vesselness measure Based on eigenvalue analysis of Hessian: two low eigenvalues one high eigenvalue

9 ter Haar Romeny, FEV Vesselness - 1 Eigenvalue analysis of Hessian: extract directions of principal curvature Hessian: where and

10 ter Haar Romeny, FEV Vesselness - 2 Eigenvalues ordered as | λ 1 | ≤ | λ 2 | ≤ | λ 3 | Bright vessel region: λ 1 small, ideally zero; λ 2 and λ 3 large but negative. Ratio for blobness: Ratio for plate-like: Image structure:

11 ter Haar Romeny, FEV Vesselness - 3 Total vesselness function: Parameters: α = β = 0.5 c = 0.5 * maximum Hessian norm Multiscale approach:

12 ter Haar Romeny, FEV Vessel enhancement filtering Better delineation of small vessels Preprocessing before MIP Preprocessing for segmentation procedure

13 ter Haar Romeny, FEV Abdominal MRA Maximum intensity projection No 3D information Overlapping organs

14 ter Haar Romeny, FEV 2D Example: DSA

15 ter Haar Romeny, FEV Scale integration

16 ter Haar Romeny, FEV Closest Vessel Projection

17 ter Haar Romeny, FEV Trabecular Bone Bone appears in two forms Cortical Bone Trabecular Bone connected network of rods & plates loading dependent architecture Wiro Niessen, PhD

18 ter Haar Romeny, FEV Stress routes Wolff’s Law “The internal structure and external shape of a bone develop in response to the change in function and forces acting upon it” Culman Meyer “Trabecular pattern is oriented with routes of stress”

19 ter Haar Romeny, FEV Clinical Relevance Trabecular Architecture important parameter in bone strength (clinically proven) Applications for in vivo analysis determine fracture risk monitoring structure in aging monitor degree and development of osteoporosis (treatment available) monitoring malgrowth near epiphyses placing implants and evaluating receipt

20 ter Haar Romeny, FEV

21 Stress Routes in Ankle

22 ter Haar Romeny, FEV MR Ankle, FFE, short TE (300  m)

23 ter Haar Romeny, FEV CT dry femur (250  m)

24 ter Haar Romeny, FEV Structural Information

25 ter Haar Romeny, FEV 3D orientaties

26 ter Haar Romeny, FEV Dominant orientations Orientations preferentially along anatomical axis Histogram of 3D directions:

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