Medical Image Reconstruction : : From Analytical and Iterative Methods to Machine Learning / / Gengsheng Lawrence Zeng.
This textbook introduces the essential concepts of tomography in the field of medical imaging. The medical imaging modalities include x-ray CT (computed tomography), PET (positron emission tomography), SPECT (single photon emission tomography) and MRI. In these modalities, the measurements are not i...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 |
---|---|
VerfasserIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2023] ©2023 |
Year of Publication: | 2023 |
Edition: | 2nd edition |
Language: | English |
Series: | De Gruyter Textbook
|
Online Access: | |
Physical Description: | 1 online resource (XIV, 273 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 05040nam a22008655i 4500 | ||
---|---|---|---|
001 | 9783111055404 | ||
003 | DE-B1597 | ||
005 | 20240306014423.0 | ||
006 | m|||||o||d|||||||| | ||
007 | cr || |||||||| | ||
008 | 240306t20232023gw fo d z eng d | ||
020 | |a 9783111055404 | ||
024 | 7 | |a 10.1515/9783111055404 |2 doi | |
035 | |a (DE-B1597)638101 | ||
035 | |a (OCoLC)1388361139 | ||
040 | |a DE-B1597 |b eng |c DE-B1597 |e rda | ||
041 | 0 | |a eng | |
044 | |a gw |c DE | ||
072 | 7 | |a SCI053000 |2 bisacsh | |
082 | 0 | 4 | |a 610.28 |2 23 |
100 | 1 | |a Zeng, Gengsheng Lawrence, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
245 | 1 | 0 | |a Medical Image Reconstruction : |b From Analytical and Iterative Methods to Machine Learning / |c Gengsheng Lawrence Zeng. |
250 | |a 2nd edition | ||
264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2023] | |
264 | 4 | |c ©2023 | |
300 | |a 1 online resource (XIV, 273 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
490 | 0 | |a De Gruyter Textbook | |
505 | 0 | 0 | |t Frontmatter -- |t Preface -- |t Contents -- |t 1 Basic principles of tomography -- |t 2 Parallel-beam image reconstruction -- |t 3 Fan-beam image reconstruction -- |t 4 Transmission and emission tomography -- |t 5 Three-dimensional image reconstruction -- |t 6 Iterative reconstruction -- |t 7 MRI reconstruction -- |t 8 Using FBP to perform iterative reconstruction -- |t 9 Machine learning -- |t Index |
506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
520 | |a This textbook introduces the essential concepts of tomography in the field of medical imaging. The medical imaging modalities include x-ray CT (computed tomography), PET (positron emission tomography), SPECT (single photon emission tomography) and MRI. In these modalities, the measurements are not in the image domain and the conversion from the measurements to the images is referred to as the image reconstruction. The work covers various image reconstruction methods, ranging from the classic analytical inversion methods to the optimization-based iterative image reconstruction methods. As machine learning methods have lately exhibited astonishing potentials in various areas including medical imaging the author devotes one chapter to applications of machine learning in image reconstruction. Based on college level in mathematics, physics, and engineering the textbook supports students in understanding the concepts. It is an essential reference for graduate students and engineers with electrical engineering and biomedical background due to its didactical structure and the balanced combination of methodologies and applications. | ||
530 | |a Issued also in print. | ||
538 | |a Mode of access: Internet via World Wide Web. | ||
546 | |a In English. | ||
588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Mrz 2024) | |
650 | 4 | |a Analytische Inversion. | |
650 | 4 | |a Iterative Optimierung. | |
650 | 4 | |a Klinische Anwendungen tomographischer Methoden. | |
650 | 4 | |a Maschinelles Lernen. | |
650 | 4 | |a Tomographische Methoden. | |
650 | 7 | |a SCIENCE / Physics / Optics & Light. |2 bisacsh | |
653 | |a . | ||
653 | |a Analytic Inversion. | ||
653 | |a Clinical Applications of Tomographic Methods. | ||
653 | |a Iterative Optimization. | ||
653 | |a Machine Learning. | ||
653 | |a Tomography Methods. | ||
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t DG Plus DeG Package 2023 Part 1 |z 9783111175782 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2023 English |z 9783111319292 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2023 |z 9783111318912 |o ZDB-23-DGG |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 English |z 9783111319230 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 |z 9783111318660 |o ZDB-23-DPC |
776 | 0 | |c EPUB |z 9783111055701 | |
776 | 0 | |c print |z 9783111055039 | |
856 | 4 | 0 | |u https://doi.org/10.1515/9783111055404 |
856 | 4 | 0 | |u https://www.degruyter.com/isbn/9783111055404 |
856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/document/cover/isbn/9783111055404/original |
912 | |a 978-3-11-117578-2 DG Plus DeG Package 2023 Part 1 |b 2023 | ||
912 | |a 978-3-11-131923-0 EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 English |b 2023 | ||
912 | |a 978-3-11-131929-2 EBOOK PACKAGE COMPLETE 2023 English |b 2023 | ||
912 | |a EBA_CL_CHCOMSGSEN | ||
912 | |a EBA_CL_MTPY | ||
912 | |a EBA_DGALL | ||
912 | |a EBA_EBKALL | ||
912 | |a EBA_ECL_CHCOMSGSEN | ||
912 | |a EBA_ECL_MTPY | ||
912 | |a EBA_EEBKALL | ||
912 | |a EBA_ESTMALL | ||
912 | |a EBA_STMALL | ||
912 | |a GBV-deGruyter-alles | ||
912 | |a ZDB-23-DGG |b 2023 | ||
912 | |a ZDB-23-DPC |b 2023 |