Title: Doing Ontology Over Images
1Doing Ontology Over Images
2What ontologies are for
3what molecular function ?
what disease process ?
need for semantic annotation of data
4need for semantic annotation of data
through labels (nouns, noun phrases) which are
algorithmically processable
5 natural language labels
to make the data cognitively accessible to human
beings
6compare legends for maps
compare legends for maps
7compare legends for cartoons
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9ontologies are legends for data
10ontologies are legends for images
11what lesion ?
what brain function ?
12ontologies are legends for mathematical equations
xi vector of measurements of gene i k the
state of the gene ( as on or off) ?i set of
parameters of the Gaussian model ... ...
13The OBO Foundry Idea
GlyProt
MouseEcotope
sphingolipid transporter activity
DiabetInGene
GluChem
14annotation using common ontologies yields
integration of databases
GlyProt
MouseEcotope
Holliday junction helicase complex
DiabetInGene
GluChem
15annotation using common ontologies can yield
integration of image data
16annotation using common ontologies can support
comparison of image data
17truth
18simple representations can be true
19there are true cartoons
20a cartoon can be a veridical representation of
reality
21Cartographic Projection
22maps may be correct by reflecting topology,
rather than geometry
23an image can be a veridical representation of
reality
a fully labeled image can be an even more
veridical representation of reality
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26cartoons, like maps, always have a certain
threshold of granularity
27grain resolution
28grain resolution serves cognitive accessibility
we transform true imagesinto true cartoons
29there are also true cartoon sequences
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31Pathway diagrams are annotated dynamic cartoons
32pathways can be represented at different levels
of granularity
33the jaw
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35Joint capsule
Netter
36Mandible and condyle movement
37Condyle position in fossa wrt location of disc
38TMJ in jaw open and closed positions
39Holes and Parts
- Parts
- 1 head of condyle F
- 2 neck of condyle F
- 3 disc B
- 4 retrodiscal tissue B
- 7 articular eminence F
- 8 zygomatic arch F
- 10 upper head of lateral pterygoid muscle F
- 11 lower head of lateral pterygoid muscle F
- Holes
- 5 lower joint compartment B
- Â 6 upper joint compartment B
40Temporomandibular Joint (TMJ)
ANTERIOR
from Thomas Bittner and Louis Goldberg, KR-MED
2006
41adjacency relations
Connectedness adjacency graph
42Frames of reference
F
C
E
Rigid do not change shape (bones)
B
D
A
The extension of the axis of the
condyle intersects the fossa in region D
43instances vs. types
44two kinds of annotations
45names of instances
46names of types
47pathway maps are representations of complexes of
types
48molecular images and radiographic images are
representations of instances
49MIAKT system
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54Patient 47920
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56Mammography 31667
57Medical-Image 44922
Mammography 31667
58Patient 47920
Medical-Image 44922
Breast 1388
MRI-Exam 32388
Mammography 31667
59SNAP and SPAN in brain imaging
- SNAP CT Computer TomographyPET Positron
emission tomographySPECT Single Photon Emission
CTMRTfMRTMRSSPANEKP event correlate
potentialquantitative electroencephalographyqEEG
60- canonicity !
- fiatness !
- granularity !
61- digital representations of analogue reality