Progress Report
The following list will be updated regularly to reflect progress on
specific tasks. Please let me know if tasks should be stated
differently, added or deleted, or if anything on the list is not
current.
$$$ = complete
$$ = in progress
$ = preliminary stage
Geometric Models Team
- Work on pre-processing software
- $$ Re-organize existing code so it is readable and workable
- $$$ Set up color table so that gleason grades, prostate components are
uniquely and uniformly indentified for all samples
- $$$ Ensure that software handles as much as possible before manual
editing stage (Automated cleanup, filling of areas)
- $$ Create utilities to convert model data into whatever format is
necessary for visualization or analysis
- Work on 3-d visualization of geometric models
- $$$ Search for public domain software which may be applicable:
Vis5d 4.1 (http://www.ssec.wisc.edu/~billh/vis5d.html)
VolVis 2.0 (http://www.cs.sunysb.edu/~volvis/vislab.html)
PolyPaint+ (http://polypaint.colorado.edu:4444/home.html#toc)
VolPack (http://www-graphics.stanford.edu/software/volpack/)
- $$$ Check out commercial software which may be useful:
Matlab, IDL (on carbon), 3DVIEWNIX (http://www.mipg.upenn.edu/~Vnews/3dviewnix_ftp.html#demo)
- $$ Provide tumor data for other teams.
Biopsy Team
- $$ understand current 3-d biospy code.
- $$ write our own biopsy simulation using tumor data
- $$ write our own biopsy simulation using random ellipsoids
- (not a goal) understand SCRSCB method and assess it using 3-d biospy code.
- $$$ learn some geometric probability/tomography and decide if it is
relevant or offers an alternative to simulations.
- $ propose and evaluate other biopsy protocols
- determine whether a biopsy method can distinguish between
"insignificant" and "significant" tumors.
Morphometric Models Team
- $ mathematical characterization of size and shape of tumors
- $$ investigate "point of origin" questions
- $$ develop secondary data base that holds both tumor variables and
patient variables.
- $$ design presentation of data in secondary data base.
- $$ design analysis and correlation methods for variables in
secondary data base.
- $$ investigate issue of "insignificant" versus "significant" tumors,
CA Team
- $$ learn enough to design transition rules for CA growth model.
- $$ actual development of a CA growth model
Database
Nevin Hahn will keep us informed of progress on this task.