Go to the site and work With the apps and Jira Summary - QI-Bench

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5 Φεβ 2013 (πριν από 4 χρόνια και 7 μήνες)

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Monthly Program Update

December 8, 2011








Andrew J. Buckler, MS

Principal Investigator

WITH FUNDING
SUPPORT
PROVIDED BY
NATIONAL
INSTITUTE OF
STANDARDS
AND
TECHNOLOGY

Value proposition of QI
-
Bench


Efficiently collect and exploit evidence establishing
standards for optimized quantitative imaging:


Users want confidence in the read
-
outs


Pharma

wants to use them as endpoints


Device/SW companies want to market products that produce them
without huge costs


Public wants to trust the decisions that they contribute to


By providing a verification framework to develop
precompetitive specifications and support test
harnesses to curate and utilize reference data


Doing so as an accessible and open resource facilitates
collaboration among diverse stakeholders

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2

QI
-
Bench

Structure / Acknowledgements


Prime: BBMSC
(Andrew Buckler, Gary Wernsing, Mike Sperling, Matt Ouellette)


Co
-
Investigators


Kitware (Rick Avila, Patrick Reynolds, Julien Jomier, Mike Grauer)


Stanford (David Paik, Tiffany Ting Liu)


Financial support as well as technical content: NIST
(Mary Brady, Alden Dima, Guillaume Radde)


Collaborators / Colleagues / Idea Contributors


FDA (Nick Petrick, Marios Gavrielides)


UCLA (Grace Kim)


UMD (Eliot Siegel, Joe Chen, Ganesh Saiprasad)


VUmc (Otto Hoekstra)


Northwestern (Pat Mongkolwat)


Georgetown (Baris Suzek)


Industry


Pharma: Novartis (Stefan Baumann), Merck (Richard Baumgartner)


Device/Software: Definiens (Maria Athelogou), Claron Technologies (Ingmar Bitter)


Coordinating Programs


RSNA QIBA (e.g., Dan Sullivan, Binsheng Zhao)


Under consideration: CTMM TraIT (Henk Huisman, Jeroen Belien)

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3

STDM
standard of
CDISC into
repositories
like FDA’s
Janus.

MVT
portion of
AVT, re
-
useable
library of R
scripts.

MIDAS,
BatchMake
,
Condor
Grid; built
using
CakePHP
.

caB2B,
NBIA,
PODS data
elements,
DICOM
query tools.

QIBO, AIM,

RadLex
/
Snomed
/
NCIt
; built
using Ruby
on Rails.


Specify context for
use and assay
methods.


Use consensus terms
in doing so.

Specify


Assemble applicable
reference data sets.


Include both imaging
and non
-
imaging
clinical data.

Formulate


Compose and iterate
batch analyses on
reference data.


Accumulate
quantitative read
-
outs
for analysis.

Execute


Characterize the
method relative to
intended use.


Apply the existing
tools and/or extend
them.

Analyze


Compile evidence for
regulatory filings.


Use standards in
transfer to regulatory
agencies.

Package

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5

BSD
-
2 license

Domain is

www.qi
-
bench.org
.


Landing page
provides


Access
to
prototypes,


Repositories
for
download and
development,


Acknowledgemen
ts
,


Jira

issue tracking,
and


Documentation

5

Summary:

QI
-
Bench Contributions


We make it practical to increase the magnitude of data for increased
statistical significance.


We provide practical means to grapple with massive data sets.


We address the problem of efficient use of resources to assess limits of
generalizability
.


We make formal specification accessible to diverse groups of experts that are
not skilled or interested in knowledge engineering.


We map both medical as well as technical domain expertise into
representations well suited to emerging capabilities of the semantic web.


We enable a mechanism to assess compliance with standards or
requirements within specific contexts for use.


We take a “toolbox” approach to statistical analysis.


We provide the capability in a manner which is accessible to varying levels of
collaborative models, from individual companies or institutions to larger
consortia or public
-
private partnerships to fully open public access.

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