ASTROCYTE ANALYSIS
BY
Rakesh Singrikonda [rsingrik@kent.edu]
Rambabu Chelikani [rchelika@kent.edu]
Manoj Thatikonda [mthatiko@kent.edu]
Masters in Computer Science
Kent State University
TABLE OF CONTENTS
• ASTROCYTE
• STRUCTURE
• GOALS
• SEGMENTATION AND APPROACHES.
• OUR PROCESS.
WHAT IS ASTROCYTE?
• THESE ARE STAR-SHAPED GLIAL CELLS IN THE BRAIN AND SPINAL CORD.
• THESE ARE THE MOST ABUNDANT CELL OF THE HUMAN BRAIN.
• ASTROCYTES ARE A SUB-TYPE OF GLIAL CELLS IN THE CENTRAL NERVOUS SYSTEM.
STRUCTURE
GOALS:
• AUTOMATICALLY SEGMENT INDIVIDUAL GLIAL CELLS.
• INTELLIGENT THRESHOLDING.
• SEGMENTATION.
• SEED POINTS CLASSIFICATION.
• CLASSIFY ASTROCYTES AND PROVIDE VOLUME AND SURFACE AREA.
SEGMENTATION
• IT IS THE PROCESS OF PARTITIONING A DIGITAL
IMAGE INTO MULTIPLE SEGMENTS.
• IT IS USED TO LOCATE OBJECTS OR THEIR
BOUNDARIES.
APPROACHES TO SEGMENTATION:
• SIMPLE TRESHOLDING.
• EDGE DETECTION.
• WATERSHED TRANSFORMATION.
• ETC….
SIMPLE TRESHOLDING
• How To Choose The Value For The Threshold T ?
• By Visual Inspections Based On The Accurate Image Level The Treshold Can Be Applied.
• Does not require specific knowledge about the image.
EDGE DETECTION
• Edge Detection Extracts The Boundaries Of The Objects, Instead Of The Objects Themselves.
• Edge detection aims at identifying points in a digital image at which the
• image brightness changes sharply or more formally has discontinuities.
• Discontinuities in image brightness are likely to correspond to:
• discontinuities in depth
• discontinuities in surface orientation
• changes in material properties
• variations in scene illumination
WATERSHED TRANSFORMATION
• Watershed Segmentation Is An Approach Developed To Solve The Very Common Problem Of
Separating Touching Objects.
Segmentation Failed To Separate Too Close Objects
OUR PROCESS
• SEGMENTATION
• THRESHOLDING, EDGE DETECTION, WATERSHED TRANSFORMATION
CELLS AFTER SEGMENTATION
CENTER OF MASS MAP
CENTROID IDENTIFICATION
TEST RESULTS
3D IDENTIFICATION RESULTS
3D IDENTIFICATION RESULTS
SUMMARY OF RESULTS
ANY QUERIES ???