SUBHADIP BANERJEE
MASTER'S STUDENT
GICL LAB, Randell, Room 238
Computer Science Department
College of Engineering
Drexel University
Philadelphia, PA 19104
highresvolback.tiff.
highresvolume.smf.
lowresvolume.smf.
Research Guide:Dr. David Breen
Home Address: 15C Reading Road, Edison, NJ-08817.
Alternative Home Address: 3312 Hamilton Street, Apt#3, Philadelphia, PA-19104.
Home Tel.
Cell Tel.
subhadip.banerjee AT cs.drexel.edu
sb3642 AT drexel.edu
I am presenting some of my current works down here
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For the mouse data:
mousedata.html.
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For the tongue data:
tongdata.html.
tongdataexplanation.html.
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Padding used = 5
Bounding box = 16 to 105 on the x direction, 13 to 114 on the y direction, 16 to 170 on the z direction
Interslice distance for all the images is still 1, for mouse it's ok, but not for tongue data.
This is for the same resolution as the input tongue data: 752/920/30
This is for the same resolution as the input tongue data: 752/920/30
Here the padding has not been used.
Bounding Box: 96 to 607 in X direction, 104 to 751 in Y direction and 36 to 65 in the Z direction.
This is the volume.vol for the tongue dataset without padding. The Z-parameter is still being worked on.
This has the same resolution as the input mouse image: 122/128/170
This is the image generated before pad is applied, resolution: 122/128/170
This is the image generated with almost double resolution before padding: 210/220/305
This is the image generated with almost half resolution before padding: 75/85/100
This is the distance volume in Dr. Breen's format.
Now there is a link to execute a VRML file on the project that I worked under Dr. David Breen in summer.
This is the VRML file for the mouse distance image
This is the distance file for the mouse data.
This is the VRML file for the tongue distance file.
Here I present the 2D distange image and the 3D distance volume generated from the mouse embryo data.
The 3D distance volume has been generated in independent resolutions. Appropriate padding has been included.
This is the .tiff image of one of the original slides (slide#108) of the mouse data. Red indicating inside points, white - the contour and black is outside points.
This is the 2D distance image generated for slide#108 (in .png format).
This is the .tiff image of one of the original slides (slide#38) of the mouse data. Red indicating inside points, white - the contour and black is outside points.
This is the 2D distance image generated for slide#38.
This is the .tiff image of one of the original slides (slide#138) of the mouse data. Red indicating inside points, white - the contour and black is outside points.
This is the 2D distance image generated for slide#138.
This is the 3D distance volume image seen from the front of the mouse embryo. This has the resolution same as the original image (122/128/160).
This is the 3D distance volume image seen from the back of the mouse embryo. This has the resolution same as the original image (122/128/160).
This is the 3D distance volume image seen from the side of the mouse embryo. This has the resolution same as the original image (122/128/160).
This is the 3D distance volume image seen from the front of the mouse embryo. This has a lower resolution than the original image (95/110/150). Resolution for the generated image is independent of the resolution of the original image.
This is the 3D distance volume image seen from the back of the mouse embryo. This has a lower resolution than the original image (95/110/150). Resolution for the generated image is independent of the resolution of the original image.
This is the 3D distance volume image seen from the side of the mouse embryo. This has a lower resolution than the original image (95/110/150). Resolution for the generated image is independent of the resolution of the original image
This is the 3D distance volume image seen from the front of the mouse embryo. This has a higher resolution than the original image (210/225/300). Resolution for the generated image is independent of the resolution of the original image.
This is the 3D distance volume image seen from the back of the mouse embryo. This has a higher resolution than the original image (210/225/300). Resolution for the generated image is inependent of the resolution of the original image.
This is the 3D distance volume image seen from the side of the mouse embryo. This has a higher resolution than the original image (210/225/300). Resolution for the generated image is independent of the resolution of the original image
Here I have the three .smf files that I have generated from the mouse embryo, the higher resolution one, the lower resolution one and the exact resolution (as the original image) here. The one with the correct resolution has been padded.
This is the smf file for mouse embryo data with higher resolution.
Padding = 5 on all 6 sides.
Interslice Distance = 1
Resolution of original image = 122/128/155
Resolution of result image = 210/225/300
This is the smf file for mouse embryo data with same resolution.
Padding = 5 on all 6 sides.
Interslice Distance = 1
Resolution of original image = 122/128/155
Resolution of result image = 95/110/150
This is the smf file for mouse embryo data with same resolution.
Padding = 5 on all 6 sides.
Interslice Distance = 1
Resolution of original image = 122/128/155
Resolution of result image = 122/128/155
This is the smf file for tongue data with same resolution.
Padding = 5 on all 6 sides.
Interslice Distance = 1
Resolution of original image = 752/920/30
Resolution of result image = 752/920/30
This is the smf file for tongue data with a higher resolution.
Padding = 5 on all 6 sides.
Interslice Distance = 1
Resolution of original image = 752/920/30
Resolution of result image = 800/980/40
This is the smf file for tongue data with a higher resolution.
Padding = 5 on all 6 sides.
Interslice Distance = 1
Resolution of original image = 752/920/30
Resolution of result image = 700/860/30
*/
I have described some of my works till now here.
Sources of help:
ImageMagick - Used for reading, floodfilling, displaying images.
ANN Library - Used for computing the distance volume using KD Tree Algo.
MUG - Used for viewing the 3D images generated.
Marching Cubes Algorithm - This algorithm has been used to generate the isosurfaces and hence smoothing.
Ilya - My Lab partner, helped me with his Marching Cubes and MUG code.
Dr. David Breen - My Advisor.