Abstract
The methods to identify the structural invariants of the evolving test object using projection data are offered within the framework of the group-theoretical statistical approach. The essence of the inverse reconstructive problem within the structural approach is investigated. The features of the inverse problems arising in the study of developing open system are discussed. The advantages of the stroboscopic data acquisition in hardware-software implementation of the group-theoretical statistical reconstructive methods are explored. The concept of phase time is introduced, and the methods of stroboscopic reconstructive diagnostics in phase time are developed. The electrocardiogram (ECG)-controlled systems for X-ray medical reconstructive diagnostics are designed. The basic types of reconstructive problems for evolving test objects are considered.
| Original language | English |
|---|---|
| Article number | BM-024 |
| Journal | Biology and Medicine |
| Volume | 6 |
| Issue number | 2 |
| Publication status | Published - 2014 |
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Keywords
- Image reconstruction
- Inverse problem
- Lie group
- Open system
- Statistical hypothesis
- Stroboscopic methods
- Structural invariants
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
Cite this
Structural approach to the inverse problems of computational diagnostics in cardiology. / Baranov, Vladimir Aleksandrovich; Avdeeva, Diana Konstantinovna; Pen'kov, Pavel Genad evich; Yuzhakov, Michael Mikhaylovich; Grigoriev, Michael Georgievich.
In: Biology and Medicine, Vol. 6, No. 2, BM-024, 2014.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Structural approach to the inverse problems of computational diagnostics in cardiology
AU - Baranov, Vladimir Aleksandrovich
AU - Avdeeva, Diana Konstantinovna
AU - Pen'kov, Pavel Genad evich
AU - Yuzhakov, Michael Mikhaylovich
AU - Grigoriev, Michael Georgievich
PY - 2014
Y1 - 2014
N2 - The methods to identify the structural invariants of the evolving test object using projection data are offered within the framework of the group-theoretical statistical approach. The essence of the inverse reconstructive problem within the structural approach is investigated. The features of the inverse problems arising in the study of developing open system are discussed. The advantages of the stroboscopic data acquisition in hardware-software implementation of the group-theoretical statistical reconstructive methods are explored. The concept of phase time is introduced, and the methods of stroboscopic reconstructive diagnostics in phase time are developed. The electrocardiogram (ECG)-controlled systems for X-ray medical reconstructive diagnostics are designed. The basic types of reconstructive problems for evolving test objects are considered.
AB - The methods to identify the structural invariants of the evolving test object using projection data are offered within the framework of the group-theoretical statistical approach. The essence of the inverse reconstructive problem within the structural approach is investigated. The features of the inverse problems arising in the study of developing open system are discussed. The advantages of the stroboscopic data acquisition in hardware-software implementation of the group-theoretical statistical reconstructive methods are explored. The concept of phase time is introduced, and the methods of stroboscopic reconstructive diagnostics in phase time are developed. The electrocardiogram (ECG)-controlled systems for X-ray medical reconstructive diagnostics are designed. The basic types of reconstructive problems for evolving test objects are considered.
KW - Image reconstruction
KW - Inverse problem
KW - Lie group
KW - Open system
KW - Statistical hypothesis
KW - Stroboscopic methods
KW - Structural invariants
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UR - http://www.scopus.com/inward/citedby.url?scp=84922103604&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84922103604
VL - 6
JO - Biology and Medicine
JF - Biology and Medicine
SN - 0974-8369
IS - 2
M1 - BM-024
ER -