DynAMo

DYNAMIC ADAPTIVE MODELING
OF THE HUMAN BODY

DynAMo

WHAT IS DynAMo?
DynAMo is better
- dynamic
- adaptive (individual)
mathematical modeling of
- electric and magnetic fields of the heart and brain
- blood (fluid) flow
- cardiac mechanics
WHY DynAMo?
Dynamic and adaptive models enable functional and individual diagnostic criteria and thus
better
- clinical diagnosis
- therapy
WHY MODELING?
Though we have only limited measurements of the physical quantities,
the more accurate modeling of the
- anatomy
- physical properties
of the patient we have,
the more accurately we can simulate the underlying physical phenomena/properties.
WHY SEVERAL MODALITIES?
When combining modeling of different phenomena like
- electric
- magnetic
- fluid flow
- mechanics
the combined information obtained with various modalities gives more accurate result.
WHO ARE IN DynAMo
DIRECTION OF THE CONSORTIUM
Ragnar Granit Institute
Scientist in Charge:
Professor Jaakko Malmivuo
Coordinator:
PhD Jari Hyttinen
PARTNERS
HUT, Electronics Laboratory:
Professor Raimo Sepponen
CSC Scientific Computing:
PhD Jari Järvinen
MSc Esko Järvinen
SCIENTIFIC COLLABORATORS
TUT
Professor Rolf Stenberg
HUT
Professor Eero-Matti Salonen
PhD Harri Hakula
FROM THE INDUSTRY AND HOSPITAL
NOKIA
Professor Veli Santomaa
Datex-Ohmeda
PhD Juha Virtanen
TAUH
Professor Väinö Turjanmaa
INTERNATIONAL COLLABORATORS
Prof. Ramesh Gulrajani
Université de Montréal, Canada
Prof. Hiie Hinrikus
Tallinn Tehnical University, Tallinn, Estonia
Prof. Jüri Vedru
University of Tartu, Estonia
Prof. Olaf Dössel
University of Karlsruhe, Germany
Prof. Olaf von Ramm
Duke University, Durham, NC, USA
Prof. Robert Patterson
University of Minnesota, Minneapolis, MN, USA
Prof. Andrew Laine
Columbia University, NY, USA
Prof. Martin Arthur
Washington University, ST Louis, USA
Prof. Robert MacLeod
The University of Utah, Salt Lake City, USA
PREVIOUS MODELING PROJECTS AT THE RGI
SPHERICAL HOMOGENEOUS MODEL
Magnetocardiography MCG
- measurement sensitivity distribution in MCG
- independence of flux- and vortex sources
- the first successful clinical study in biomagnetism
- MCG has clinical importance
SPHERICAL INHOMOGENEOUS MODEL
Electroencephalography EEG and magnetoencephalography MEG
- measurement sensitivity distribution in EEG
- measurement sensitivity distribution in MEG
- spatial resolution of EEG is much better than previously believed
- spatial resolution of MEG is not better than that of EEG
- the most new information of skull resistivity predicts that the spatial resolution of EEG is essentially better than that of MEG
REALISTIC THORAX MODEL
Finite Difference Model
Visible Human Man
Electrocardiography ECG
- sensitivity distribution of aimed ECG-leads
- localization of arrhythmia foci
- optimization of maximum number of leads
- simulation of ischemic myocardial sources
- optimization of diagnostic criteria in each lead in ischemic cardiac disease
Impedance cardiography ICG
- sensitivity distribution of measurement leads
- measurement of cardiac output
- measurement of fluid mechanics (valvular diseases)
Electrogastrography EGG
- measurement of abdominal muscular activity
- calculation of measurement sensitivities
REALISTIC DYNAMIC THORAX MODEL

- separate systolic and diastolic models essentially improve the model accuracy
REALISTIC HEAD MODEL
Electroencephalography EEG
- application of lead field theory to forward and inverse problem
- EEG source localization
- solution of cortical EEG
- multimodal imaging: EEG-MRI
GENERATION AND PUBLICATION OF RESULTS
The project has an active Internet page:
www.tut.fi/dynamo
These pages inform on
- project partners
- results
Netmeeting video conferencing
International Society for Bioelectromagnetism
International Journal of Bioelectromagnetism -WWW
Members of the project keep contact with DynAMo conferences and symposia:
- 5th Ragnar Granit Symposium, Chicago 1997
- DynAMo Session, WC2000, Chicago
- CardioModel 2000 Karlsruhe
- 4th ICBEM Montreal, 2003
- 10th Ragnar Granit Symposium, 2003
FUTURE MODELING PROJECTS in DynAMo
THORAX
Integration of
- dynamic model
- adaptive model on the basis of MRI and ultrasound
- impedance- and ballistocardiography
- fluid dynamics
HEAD
more accurate
- cortical EEG
- source localization
FINAL GOAL OF DynAMo
DynAMo is not intended to last for only a certain period but as a continuous, international process.
At the RGI we have made active modeling research
- with analog models from 1976
- with digital models from 1985
A natural goal is to develop these models to
- dynamic
- adaptive
- multimodal
tools in clinical diagnostic and therapy.
VISION FOR THE FUTURE OF DynAMo
Developed information technology and medical informatics have alrady created new concepts:

VIRTUAL REALITY

VIRTUAL HOSPITAL
It is the purpose of DynAMo to create a new concept:

VIRTUAL PATIENT

Top

DYNAMIC ADAPTIVE MODELING OF THE HUMAN BODY

DynAMo

WHAT IS DynAMo?

WHY DynAMo?

WHY MODELING?

WHY SEVERAL MODALITIES?

WHO ARE IN DynAMo

PREVIOUS MODELING PROJECTS AT THE RGI

GENERATION AND PUBLICATION OF RESULTS

FUTURE MODELING PROJECTS in DynAMo

FINAL GOAL OF DynAMo

VISION FOR THE FUTURE OF DynAMo

DYNAMIC ADAPTIVE MODELING
OF THE HUMAN BODY