國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Time-dependent problems in imaging a...

Kaltenbacher, Barbara.

Time-dependent problems in imaging and parameter identification

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Time-dependent problems in imaging and parameter identificationedited by Barbara Kaltenbacher, Thomas Schuster, Anne Wald.
其他作者:	Kaltenbacher, Barbara.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xiv, 456 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Image processingMathematics.
電子資源:	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)