Image Analysis, Measurement and Query
Michael V. Knopp, M.D., Ph.D.
Professor of Radiology and Biomedical Informatics
The Ohio State University
Department of Radiology
E-Mail: Knopp-1@medctr.osu.edu
The Challenge for Imaging
Molecular
Understanding
Targeted
Therapeutics
Genetic
Understanding
Non-invasive
biologic
response
assessment
Knopp MV OSU
TNF Mouse 4.7 T MRI DCE for Angiogenic Mapping
Gd-DTPA
Costorous et al.
Consensus Recommendation for
Acquisition of Dynamic Contrasted-Enhanced MRI Data in Oncology
J. Evelhocha, T. Brownb, T. Chenevertc, L. Clarked, B. Daniele, H. Deganif, N. Hyltong,
M. Knopph, J. Koutcheri, T.-Y. Leej, N. Mayrk, D. Sullivand, J. Taylorl, P. Toftsm, R.
Weisskoffn
a
Wayne State University, Detroit, MI; bFox Chase Cancer Center, Philadelphia, PA; cUniversity of
Michigan, Ann Arbor, MI; dNational Cancer Institute, Bethesda, MD; eStanford University, Palo Alto,
CA; fWeizmann Institute, Rehovot, Israel; gUniversity of California, San Francisco, CA; hGerman
Cancer Research Center, Heidelberg, Germany; iMemorial Sloan Kettering, New York, NY; jRobarts
Research Institute, London, Ontario; kUniversity of Iowa, Iowa City, IA; lSt. Jude Children’s Research
Hospital, Memphis, TN; mUniversity College London, London, England; nEPIX Medical, Cambridge,
MA
1.
ISMRM 2000, Denver
Pre-injection
 If possible, measure T1 (using same resolution and field of view for dynamic data)
 Acquire maximum spatial resolution image (determined by application)
2. Contrast agent injection
If possible, use power injector to minimize variation
15-30 sec for total injection, saline flush
 Dynamic study
If possible, sample arterial input function

For first 90-150 sec after bolus injection, use 10-30 sec temporal resolution (fastest sampling possible
consistent with spatial resolution requirements)
Acquire centric phase-encoded higher spatial resolution images out to 10 min with 1-4 min temporal
resolution
Knopp MV 2003
What are the Biologic Correlates of the Contrast Agent Passage ?
Knopp MV 2003
H 725
Processing of DCE-MRI Datasets
Color coding
kpe
C1
C2
kep
Cl
Amplitude
I
k ep
plasma
extracellular space
Knopp MV 2003
Knopp MV 2003
Capabilities as a BioMarker
Stratify population
Assess early effect even
when there could be a
heterogenous response
IMAGING
Dose Finding
Predict Response
Imaging Analysis
 Assessment of larger therapy monitoring populations is
a current key challenge
 Multiple Imaging methodologies have the same
problem, MRI, PET, CT, Ultrasound, MRS, Optical
 These problems exsist for oncologic, cardio-vascular
and neuroscience applications
 We need to move from a cross-sectional analysis to a
true 3D analysis