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UCIrvine DEPARTMENT OF BIOMEDICAL ENGINEERING The State of the Art Joerg Meyer February 8, 2014February 8, 2014February 8, 2014 Joerg Meyer.

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Presentation on theme: "UCIrvine DEPARTMENT OF BIOMEDICAL ENGINEERING The State of the Art Joerg Meyer February 8, 2014February 8, 2014February 8, 2014 Joerg Meyer."— Presentation transcript:

1 UCIrvine DEPARTMENT OF BIOMEDICAL ENGINEERING The State of the Art Joerg Meyer jmeyer@uci.edu February 8, 2014February 8, 2014February 8, 2014 Joerg Meyer jmeyer@uci.edu February 8, 2014February 8, 2014February 8, 2014 Biomedical Image Processing 1500 ||||||||||||||||||||||||||||||||| 2003

2 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing

3 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing

4 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing X-RayX-Ray (Eberharts Manual of High Frequncy Currents, Ch. 10, 1911) (Gundelach Tube, 1898 – 1905) Oak Ridge Associated Universities Health Physics Instrumentation Museum (Gundelach Tube, 1898 – 1905) Oak Ridge Associated Universities Health Physics Instrumentation Museum

5 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing Week 0 Week 4

6 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing Scaphoid Bone Week 0 Week 4

7 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing Step 1: Incision Marking

8 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing Step 2: Exposure of Fracture Line

9 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing Step 3: Screw Insertion Site

10 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing Step 4: X-Ray Before 2 months postop Before 2 months postop (Images courtesy of: Electronic Textbook of Hand Surgery, http://www.eatonhand.com)

11 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing High Frequency X-Ray Tube (Eberharts Manual of High Frequncy Currents, Chap. 10, 1911) Portable System

12 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing Scaphoids (1mm) MagneVu 1000 (MRI)

13 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing

14 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing Problems:Problems: –Time –Cost factor Solution:Solution: –Correlate X-ray images with 3-D models –Database (typical bones) Problems:Problems: –Time –Cost factor Solution:Solution: –Correlate X-ray images with 3-D models –Database (typical bones)

15 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing Various shapes and sizes (Zimmer, 1968) Scaphoid Bones

16 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing Classification (Herbert) Scaphoid Bone Fractures

17 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing A - C: Scaphoid view 1 - with forearm pronated 45deg. to view profile of scaphoid & STT joint D - Scaphoid view 2 (ulnar oblique view) showing radioscaphoid joint (from Rockwood & Green) A - C: Scaphoid view 1 - with forearm pronated 45deg. to view profile of scaphoid & STT joint D - Scaphoid view 2 (ulnar oblique view) showing radioscaphoid joint (from Rockwood & Green) A A B B C C D D

18 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing Solution:Solution: –Superimpose radiographic scan and 3-D model –Select best model from database Solution:Solution: –Superimpose radiographic scan and 3-D model –Select best model from database

19 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Biomedical Image Processing General Question:General Question: –How to combine differentmodalities? General Question:General Question: –How to combine differentmodalities?

20 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Visible Human (CT, frozen) Joseph Paul Jernigan

21 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Visible Human (CT, frozen) Slice 1125

22 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Visible Human (MRI) Slice 1125

23 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Visible Human (RGB color) Slice 1125

24 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Visible Human (RGB color)

25 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Visible Human (3-D Reconstruction)

26 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

27 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

28 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

29 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

30 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

31 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

32 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

33 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

34 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

35 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

36 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

37 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Image Acquisition

38 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING CT Scanner

39 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Image Acquisition

40 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Image Acquisition

41 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Image Acquisition

42 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Image Acquisition

43 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Image Acquisition

44 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Principle of a CT Scanner Object Translation Rotation X-Ray Source Detector Object X-Ray Source Detector a) Translation b) Rotation Image Acquisition

45 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Principle of an MRI Scanner a) Random Spin b) directional magnetic field Image Acquisition

46 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING a) Directional Puls (orthogonal) b) Relaxation Image Acquisition Principle of an MRI Scanner

47 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Image Acquisition

48 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Rhesus Monkey Brain High-resolution large-scale image dataHigh-resolution large-scale image data RGB image series (real-color, dyed), 5037 x 3871 x 1400, 76 GB (data courtesy of Edward G. Jones, Center for Neuroscience, UC Davis) High-resolution large-scale image dataHigh-resolution large-scale image data RGB image series (real-color, dyed), 5037 x 3871 x 1400, 76 GB (data courtesy of Edward G. Jones, Center for Neuroscience, UC Davis) Resolution: 2666dpiResolution: 2666dpi Pixel spacing: 9 m Enables zooming down to the cell level.Enables zooming down to the cell level. Total data size: 76 GBTotal data size: 76 GB

49 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Image Acquisition

50 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING 3-D Reconstruction

51 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Image Acquisition

52 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING From 2-D Cross-sections to 3-D RGB image series (real-color, human brain), 1472 x 1152 x 753, 3.57 GB (data courtesy of Arthur W. Toga, Dept. of Neurology, UCLA School of Medicine) RGB image series (real-color, human brain), 1472 x 1152 x 753, 3.57 GB (data courtesy of Arthur W. Toga, Dept. of Neurology, UCLA School of Medicine)

53 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING 3-D Reconstruction 3-D Volume Rendering of a Human Brain3-D Volume Rendering of a Human Brain RGB image series (real-color, human brain), 1472 x 1152 x 753, 3.57 GB (data courtesy of Arthur W. Toga, Dept. of Neurology, UCLA School of Medicine, image courtesy of Eric B. Lum, Ikuko Takanashi, CIPIC, UC Davis) RGB image series (real-color, human brain), 1472 x 1152 x 753, 3.57 GB (data courtesy of Arthur W. Toga, Dept. of Neurology, UCLA School of Medicine, image courtesy of Eric B. Lum, Ikuko Takanashi, CIPIC, UC Davis)

54 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING From 2-D Cross-sections to 3-D ?

55 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING From 2-D Cross-sections to 3-D

56 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING From 2-D Cross-sections to 3-D

57 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING 3-D Reconstruction CT head ( 512 cross-sections, 1024 planes ) rendered with different transparency transfer functions

58 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Human brain ( 128 cross- sections, 220 planes ) Cancer cell ( 256 cross- sections, 512 planes ) Ice Block (Human brain) ( 128 cryo-sections, 256 planes ) 3-D Reconstruction

59 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING 3-D Reconstruction MRI scan of a human skull

60 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING 3-D Reconstruction CT scan of a human skull

61 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING 3-D Reconstruction CT scan of a human skull

62 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING How to scale down large-scale data? M M 120 CD-ROMs 100k polygons

63 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Space Decomposition Data arranged in slicesData arranged in slices

64 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Space Decomposition Goal: extract subvolumeGoal: extract subvolume Problem: data arranged in slices or unstructured gridsProblem: data arranged in slices or unstructured grids Necessity to touch a lot of files or dataNecessity to touch a lot of files or data Solution: breaking up the data set into bricksSolution: breaking up the data set into bricks Data in bricks still too big for transmission/ interactive renderingData in bricks still too big for transmission/ interactive rendering Solution: multiresolution representationSolution: multiresolution representation idea: combination of octree/wavelet idea: combination of octree/wavelet Goal: extract subvolumeGoal: extract subvolume Problem: data arranged in slices or unstructured gridsProblem: data arranged in slices or unstructured grids Necessity to touch a lot of files or dataNecessity to touch a lot of files or data Solution: breaking up the data set into bricksSolution: breaking up the data set into bricks Data in bricks still too big for transmission/ interactive renderingData in bricks still too big for transmission/ interactive rendering Solution: multiresolution representationSolution: multiresolution representation idea: combination of octree/wavelet idea: combination of octree/wavelet

65 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Space Decomposition Data arranged in slicesData arranged in slices

66 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Space Decomposition Data arranged in slicesData arranged in slices

67 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Space Decomposition Breaking up the data into bricksBreaking up the data into bricks

68 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Space Decomposition Breaking up the data into bricksBreaking up the data into bricks

69 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Space Decomposition Breaking up the data into bricksBreaking up the data into bricks...

70 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Space Decomposition Breaking up the data into bricksBreaking up the data into bricks...

71 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Space Decomposition Breaking up the data into bricksBreaking up the data into bricks...

72 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Space Decomposition Breaking up the data into bricksBreaking up the data into bricks ROI...

73 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Combination: Octree/Wavelet Leaf encodingLeaf encoding

74 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Wavelet Compression image pyramid original (256 x 256) step 1 step 2...

75 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Wavelet Compression MRI scan original (256 x 256) n = 8 n = 2 n = 3 n = 4 n = 5 n = 7 n = 6

76 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Wavelet Compression Original image array Original Volume L H First run: x-direction HL LL LH HL HLL LLL LHL HLL LLH LHH HLH HHH Second run: y-direction Third run: z-direction

77 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Progressive Reconstruction Initial stage Second level of detail Initial stage Second level of detail Third level of detail Final reconstructed image

78 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Cancer ResearchCancer Research –Image processing (segmentation, classification) –Multi-modal imaging (CT/MRI/cryosection/confocal) NeuroscienceNeuroscience –Rhesus Macaque Monkey Brain Atlas (NIMH) –Scalable Visualization Toolkits for Bays to Brains (NPACI) Cell PhysiologyCell Physiology –Connectivity in Leech Giant Glial Cells –Correspondence Analysis in Time-variant Microscopic 3D Image Data Molecular DiagnosticsMolecular Diagnostics –Genomics, Proteomics, Phylogenetic Trees Cancer ResearchCancer Research –Image processing (segmentation, classification) –Multi-modal imaging (CT/MRI/cryosection/confocal) NeuroscienceNeuroscience –Rhesus Macaque Monkey Brain Atlas (NIMH) –Scalable Visualization Toolkits for Bays to Brains (NPACI) Cell PhysiologyCell Physiology –Connectivity in Leech Giant Glial Cells –Correspondence Analysis in Time-variant Microscopic 3D Image Data Molecular DiagnosticsMolecular Diagnostics –Genomics, Proteomics, Phylogenetic Trees Application Areas

79 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Projection SystemsProjection Systems –Concave Reality Projection System –RealityCenter –Interactive White Boards –Active/Passive Stereo Projectors Spatial Tracking HardwareSpatial Tracking Hardware –Nest-of-Birds (electro-magnetic) –VICON Motion Tracking System (vision) Interaction HardwareInteraction Hardware –PinchGloves (data gloves) –Stylus (6dof pointing device) Projection SystemsProjection Systems –Concave Reality Projection System –RealityCenter –Interactive White Boards –Active/Passive Stereo Projectors Spatial Tracking HardwareSpatial Tracking Hardware –Nest-of-Birds (electro-magnetic) –VICON Motion Tracking System (vision) Interaction HardwareInteraction Hardware –PinchGloves (data gloves) –Stylus (6dof pointing device) InfrastructureInfrastructure

80 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING ConclusionsConclusions Engineering solutions can helpEngineering solutions can help to make health care affordable Economic feasibilityEconomic feasibility Data set size andData set size and image quality increases Scalable solutionsScalable solutions Engineering solutions can helpEngineering solutions can help to make health care affordable Economic feasibilityEconomic feasibility Data set size andData set size and image quality increases Scalable solutionsScalable solutions

81 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING AcknowledgementsAcknowledgements Center for Neuroscience,UC DavisCenter for Neuroscience,UC Davis Engineering Research Center, Mississippi State UniversityEngineering Research Center, Mississippi State University Center for Image Processing and Integrated Computing (CIPIC), UC DavisCenter for Image Processing and Integrated Computing (CIPIC), UC Davis The Scripps Research Institute (TSRI), La Jolla, CAThe Scripps Research Institute (TSRI), La Jolla, CA San Diego Supercomputer CenterSan Diego Supercomputer Center These projects are funded in part by the National Institute of Mental Health (NIMH) through the Center for Neuroscience at UC Davis, and the National Partnership for Advanced Computational Infrastructure (NPACI) (award #10195430 00120410).These projects are funded in part by the National Institute of Mental Health (NIMH) through the Center for Neuroscience at UC Davis, and the National Partnership for Advanced Computational Infrastructure (NPACI) (award #10195430 00120410). Center for Neuroscience,UC DavisCenter for Neuroscience,UC Davis Engineering Research Center, Mississippi State UniversityEngineering Research Center, Mississippi State University Center for Image Processing and Integrated Computing (CIPIC), UC DavisCenter for Image Processing and Integrated Computing (CIPIC), UC Davis The Scripps Research Institute (TSRI), La Jolla, CAThe Scripps Research Institute (TSRI), La Jolla, CA San Diego Supercomputer CenterSan Diego Supercomputer Center These projects are funded in part by the National Institute of Mental Health (NIMH) through the Center for Neuroscience at UC Davis, and the National Partnership for Advanced Computational Infrastructure (NPACI) (award #10195430 00120410).These projects are funded in part by the National Institute of Mental Health (NIMH) through the Center for Neuroscience at UC Davis, and the National Partnership for Advanced Computational Infrastructure (NPACI) (award #10195430 00120410).

82 UCIrvine Biomedical Image Processing – The State of the Art Joerg Meyer - jmeyer@uci.edu DEPARTMENT OF BIOMEDICAL ENGINEERING Thats all, folks! Joerg Meyer University of California, Irvine BME/EECS Department 644E Engineering Tower Irvine, CA 92697-2625 jmeyer@uci.edu http://www.eng.uci.edu/~jmeyer Joerg Meyer University of California, Irvine BME/EECS Department 644E Engineering Tower Irvine, CA 92697-2625 jmeyer@uci.edu http://www.eng.uci.edu/~jmeyer Questions ?


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