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The Visible Human Project "The Visible Human Project includes digitized photographic images for cryosectioning, digital images derived from computerized.

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Presentation on theme: "The Visible Human Project "The Visible Human Project includes digitized photographic images for cryosectioning, digital images derived from computerized."— Presentation transcript:

1 The Visible Human Project "The Visible Human Project includes digitized photographic images for cryosectioning, digital images derived from computerized tomography and digital magnetic resonance images of cadavers."

2 The Visible Human Project 1.Find a normal male and female cadaver 2.Fresh CT & MR 3.Fill blood vessels and cavities with contrast media 4.Pose and stabilize in opaque gel 5.Freeze the cadaver 6.Cut cadaver into blocks 7.Frozen CT 8.Grind down block and take photograph

3 Infuse blood vessels and fill cavities with contrast media (resin)

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5 Cryo-section Data Collection

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8 Data Collection

9 CT (bone)MRI (proton-density) MRI (T1)MRI (T2)

10 Data Collection

11 Photographic cross-sections: Volume Dimensions: 1760 x 1024 x 1878 Pixel Dimensions:.33 mm x.33 mm x 1 mm Pixel Depth: 24-bit (8-bits x RGB) Volume Size: 9.5 GB Computed Tomography (CT) - in fresh state: Volume Dimensions: 512 x 512 x 500 Pixel Dimensions: variable x variable x 1 mm Pixel Depth: 16-bit Volume Size: 250 MB Computed Tomography (CT) – in frozen state: Volume Dimensions: 512 x 512 x 1878 Pixel Dimensions: variable x variable x 1 mm Pixel Depth: 16-bit Volume Size: 939 MB Data Collection

12 Photographic cross-sections: Volume Dimensions: 1664 x 928 x 5189 Pixel Dimensions:.33 mm x.33 mm x.33 mm Pixel Depth: 24-bit (8-bits x RGB) Volume Size: 22.4 GB Computed Tomography (CT) - in fresh state: Volume Dimensions: 512 x 512 x 1730 Pixel Dimensions: variable x variable x 1 mm Pixel Depth: 16-bit Volume Size: 864 MB Data Collection

13 TransverseCoronalSagittal The Visible Human

14 Segmentation and Classification

15 Semi-automatic Segmentation Marr-Hildreth edge detection filter, seed filling and neighbor connectivity filter Spline interpolation of surface Mostly done by anatomists using a drawing and filtering program.

16 Segmentation

17 Classification

18 Classification

19 Classification


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