Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Time-dependent problems in imaging a...
~
Kaltenbacher, Barbara.
Time-dependent problems in imaging and parameter identification
Record Type:
Electronic resources : Monograph/item
Title/Author:
Time-dependent problems in imaging and parameter identificationedited by Barbara Kaltenbacher, Thomas Schuster, Anne Wald.
other author:
Kaltenbacher, Barbara.
Published:
Cham :Springer International Publishing :2021.
Description:
xiv, 456 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Image processingMathematics.
Online resource:
https://doi.org/10.1007/978-3-030-57784-1
ISBN:
9783030577841$q(electronic bk.)
Time-dependent problems in imaging and parameter identification
Time-dependent problems in imaging and parameter identification
[electronic resource] /edited by Barbara Kaltenbacher, Thomas Schuster, Anne Wald. - Cham :Springer International Publishing :2021. - xiv, 456 p. :ill., digital ;24 cm.
1. Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data -- 2. Dynamic Inverse Problems for the Acoustic Wave Equation -- 3. Motion compensation strategies in tomography -- 4. Microlocal properties of dynamic Fourier integral operators -- 5. The tangential cone condition for some coefficient identification model problems in parabolic PDEs -- 6. Sequential subspace optimization for recovering stored energy functions in hyperelastic materials from time-dependent data -- 7. Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations -- 8. Quantitative OCT reconstructions for dispersive media -- 9. Review of Image Similarity Measures for Joint Image Reconstruction from Multiple Measurements -- 10. Holmgren-John Unique Continuation Theorem for Viscoelastic Systems -- 11. Tomographic Reconstruction for Single Conjugate Adaptive Optics -- 12. Inverse Problems of Single Molecule Localization Microscopy -- 13. Parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging -- 14. An inverse source problem related to acoustic nonlinearity parameter imaging.
Inverse problems such as imaging or parameter identification deal with the recovery of unknown quantities from indirect observations, connected via a model describing the underlying context. While traditionally inverse problems are formulated and investigated in a static setting, we observe a significant increase of interest in time-dependence in a growing number of important applications over the last few years. Here, time-dependence affects a) the unknown function to be recovered and / or b) the observed data and / or c) the underlying process. Challenging applications in the field of imaging and parameter identification are techniques such as photoacoustic tomography, elastography, dynamic computerized or emission tomography, dynamic magnetic resonance imaging, super-resolution in image sequences and videos, health monitoring of elastic structures, optical flow problems or magnetic particle imaging to name only a few. Such problems demand for innovation concerning their mathematical description and analysis as well as computational approaches for their solution.
ISBN: 9783030577841$q(electronic bk.)
Standard No.: 10.1007/978-3-030-57784-1doiSubjects--Topical Terms:
184606
Image processing
--Mathematics.
LC Class. No.: TA1637.5 / .T56 2021
Dewey Class. No.: 621.367
Time-dependent problems in imaging and parameter identification
LDR
:03352nmm a2200337 a 4500
001
600640
003
DE-He213
005
20210616134831.0
006
m d
007
cr nn 008maaau
008
211104s2021 sz s 0 eng d
020
$a
9783030577841$q(electronic bk.)
020
$a
9783030577834$q(paper)
024
7
$a
10.1007/978-3-030-57784-1
$2
doi
035
$a
978-3-030-57784-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TA1637.5
$b
.T56 2021
072
7
$a
UYAM
$2
bicssc
072
7
$a
COM018000
$2
bisacsh
072
7
$a
UYAM
$2
thema
072
7
$a
UFM
$2
thema
082
0 4
$a
621.367
$2
23
090
$a
TA1637.5
$b
.T583 2021
245
0 0
$a
Time-dependent problems in imaging and parameter identification
$h
[electronic resource] /
$c
edited by Barbara Kaltenbacher, Thomas Schuster, Anne Wald.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xiv, 456 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
1. Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data -- 2. Dynamic Inverse Problems for the Acoustic Wave Equation -- 3. Motion compensation strategies in tomography -- 4. Microlocal properties of dynamic Fourier integral operators -- 5. The tangential cone condition for some coefficient identification model problems in parabolic PDEs -- 6. Sequential subspace optimization for recovering stored energy functions in hyperelastic materials from time-dependent data -- 7. Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations -- 8. Quantitative OCT reconstructions for dispersive media -- 9. Review of Image Similarity Measures for Joint Image Reconstruction from Multiple Measurements -- 10. Holmgren-John Unique Continuation Theorem for Viscoelastic Systems -- 11. Tomographic Reconstruction for Single Conjugate Adaptive Optics -- 12. Inverse Problems of Single Molecule Localization Microscopy -- 13. Parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging -- 14. An inverse source problem related to acoustic nonlinearity parameter imaging.
520
$a
Inverse problems such as imaging or parameter identification deal with the recovery of unknown quantities from indirect observations, connected via a model describing the underlying context. While traditionally inverse problems are formulated and investigated in a static setting, we observe a significant increase of interest in time-dependence in a growing number of important applications over the last few years. Here, time-dependence affects a) the unknown function to be recovered and / or b) the observed data and / or c) the underlying process. Challenging applications in the field of imaging and parameter identification are techniques such as photoacoustic tomography, elastography, dynamic computerized or emission tomography, dynamic magnetic resonance imaging, super-resolution in image sequences and videos, health monitoring of elastic structures, optical flow problems or magnetic particle imaging to name only a few. Such problems demand for innovation concerning their mathematical description and analysis as well as computational approaches for their solution.
650
0
$a
Image processing
$x
Mathematics.
$3
184606
650
0
$a
Inverse problems (Differential equations)
$3
189581
650
1 4
$a
Math Applications in Computer Science.
$3
273991
650
2 4
$a
Image Processing and Computer Vision.
$3
274051
650
2 4
$a
Numerical Analysis.
$3
275681
700
1
$a
Kaltenbacher, Barbara.
$3
819217
700
1
$a
Schuster, Thomas.
$3
895269
700
1
$a
Wald, Anne.
$3
895270
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-030-57784-1
950
$a
Mathematics and Statistics (SpringerNature-11649)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000199174
電子館藏
1圖書
電子書
EB TA1637.5 .T583 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-57784-1
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login