Current trends in medical image registration and fusion

Recently, medical image registration and fusion processes are considered as a valuable assistant for the medical experts. The role of these processes arises from their ability to help the experts in the diagnosis, following up the diseases’ evolution, and deciding the necessary therapies regarding t...
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Gespeichert in:

Autor*in:	Fatma El-Zahraa Ahmed El-Gamal [verfasserIn] Mohammed Elmogy [verfasserIn] Ahmed Atwan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Medical image fusion Medical image registration Medical imaging modalities Diseases based registration/fusion

Übergeordnetes Werk:	In: Egyptian Informatics Journal - Elsevier, 2016, 17(2016), 1, Seite 99-124
Übergeordnetes Werk:	volume:17 ; year:2016 ; number:1 ; pages:99-124

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.eij.2015.09.002

Katalog-ID:	DOAJ016002938

Internformat


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allfields_unstemmed	10.1016/j.eij.2015.09.002 doi (DE-627)DOAJ016002938 (DE-599)DOAJc849673649e8494f88477e3468f7ab1e DE-627 ger DE-627 rakwb eng QA75.5-76.95 Fatma El-Zahraa Ahmed El-Gamal verfasserin aut Current trends in medical image registration and fusion 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recently, medical image registration and fusion processes are considered as a valuable assistant for the medical experts. The role of these processes arises from their ability to help the experts in the diagnosis, following up the diseases’ evolution, and deciding the necessary therapies regarding the patient’s condition. Therefore, the aim of this paper is to focus on medical image registration as well as medical image fusion. In addition, the paper presents a description of the common diagnostic images along with the main characteristics of each of them. The paper also illustrates most well-known toolkits that have been developed to help the working with the registration and fusion processes. Finally, the paper presents the current challenges associated with working with medical image registration and fusion through illustrating the recent diseases/disorders that were addressed through such an analyzing process. Medical image fusion Medical image registration Medical imaging modalities Diseases based registration/fusion Electronic computers. Computer science Mohammed Elmogy verfasserin aut Ahmed Atwan verfasserin aut In Egyptian Informatics Journal Elsevier, 2016 17(2016), 1, Seite 99-124 (DE-627)635604523 (DE-600)2573668-1 11108665 nnns volume:17 year:2016 number:1 pages:99-124 https://doi.org/10.1016/j.eij.2015.09.002 kostenfrei https://doaj.org/article/c849673649e8494f88477e3468f7ab1e kostenfrei http://www.sciencedirect.com/science/article/pii/S111086651500047X kostenfrei https://doaj.org/toc/1110-8665 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 17 2016 1 99-124
allfieldsGer	10.1016/j.eij.2015.09.002 doi (DE-627)DOAJ016002938 (DE-599)DOAJc849673649e8494f88477e3468f7ab1e DE-627 ger DE-627 rakwb eng QA75.5-76.95 Fatma El-Zahraa Ahmed El-Gamal verfasserin aut Current trends in medical image registration and fusion 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recently, medical image registration and fusion processes are considered as a valuable assistant for the medical experts. The role of these processes arises from their ability to help the experts in the diagnosis, following up the diseases’ evolution, and deciding the necessary therapies regarding the patient’s condition. Therefore, the aim of this paper is to focus on medical image registration as well as medical image fusion. In addition, the paper presents a description of the common diagnostic images along with the main characteristics of each of them. The paper also illustrates most well-known toolkits that have been developed to help the working with the registration and fusion processes. Finally, the paper presents the current challenges associated with working with medical image registration and fusion through illustrating the recent diseases/disorders that were addressed through such an analyzing process. Medical image fusion Medical image registration Medical imaging modalities Diseases based registration/fusion Electronic computers. Computer science Mohammed Elmogy verfasserin aut Ahmed Atwan verfasserin aut In Egyptian Informatics Journal Elsevier, 2016 17(2016), 1, Seite 99-124 (DE-627)635604523 (DE-600)2573668-1 11108665 nnns volume:17 year:2016 number:1 pages:99-124 https://doi.org/10.1016/j.eij.2015.09.002 kostenfrei https://doaj.org/article/c849673649e8494f88477e3468f7ab1e kostenfrei http://www.sciencedirect.com/science/article/pii/S111086651500047X kostenfrei https://doaj.org/toc/1110-8665 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 17 2016 1 99-124
allfieldsSound	10.1016/j.eij.2015.09.002 doi (DE-627)DOAJ016002938 (DE-599)DOAJc849673649e8494f88477e3468f7ab1e DE-627 ger DE-627 rakwb eng QA75.5-76.95 Fatma El-Zahraa Ahmed El-Gamal verfasserin aut Current trends in medical image registration and fusion 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recently, medical image registration and fusion processes are considered as a valuable assistant for the medical experts. The role of these processes arises from their ability to help the experts in the diagnosis, following up the diseases’ evolution, and deciding the necessary therapies regarding the patient’s condition. Therefore, the aim of this paper is to focus on medical image registration as well as medical image fusion. In addition, the paper presents a description of the common diagnostic images along with the main characteristics of each of them. The paper also illustrates most well-known toolkits that have been developed to help the working with the registration and fusion processes. Finally, the paper presents the current challenges associated with working with medical image registration and fusion through illustrating the recent diseases/disorders that were addressed through such an analyzing process. Medical image fusion Medical image registration Medical imaging modalities Diseases based registration/fusion Electronic computers. Computer science Mohammed Elmogy verfasserin aut Ahmed Atwan verfasserin aut In Egyptian Informatics Journal Elsevier, 2016 17(2016), 1, Seite 99-124 (DE-627)635604523 (DE-600)2573668-1 11108665 nnns volume:17 year:2016 number:1 pages:99-124 https://doi.org/10.1016/j.eij.2015.09.002 kostenfrei https://doaj.org/article/c849673649e8494f88477e3468f7ab1e kostenfrei http://www.sciencedirect.com/science/article/pii/S111086651500047X kostenfrei https://doaj.org/toc/1110-8665 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 17 2016 1 99-124
language	English
source	In Egyptian Informatics Journal 17(2016), 1, Seite 99-124 volume:17 year:2016 number:1 pages:99-124
sourceStr	In Egyptian Informatics Journal 17(2016), 1, Seite 99-124 volume:17 year:2016 number:1 pages:99-124
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Medical image fusion Medical image registration Medical imaging modalities Diseases based registration/fusion Electronic computers. Computer science
isfreeaccess_bool	true
container_title	Egyptian Informatics Journal
authorswithroles_txt_mv	Fatma El-Zahraa Ahmed El-Gamal @@aut@@ Mohammed Elmogy @@aut@@ Ahmed Atwan @@aut@@
publishDateDaySort_date	2016-01-01T00:00:00Z
hierarchy_top_id	635604523
id	DOAJ016002938
language_de	englisch
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author	Fatma El-Zahraa Ahmed El-Gamal
spellingShingle	Fatma El-Zahraa Ahmed El-Gamal misc QA75.5-76.95 misc Medical image fusion misc Medical image registration misc Medical imaging modalities misc Diseases based registration/fusion misc Electronic computers. Computer science Current trends in medical image registration and fusion
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title	Current trends in medical image registration and fusion
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title_full	Current trends in medical image registration and fusion
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title_sort	current trends in medical image registration and fusion
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title_auth	Current trends in medical image registration and fusion
abstract	Recently, medical image registration and fusion processes are considered as a valuable assistant for the medical experts. The role of these processes arises from their ability to help the experts in the diagnosis, following up the diseases’ evolution, and deciding the necessary therapies regarding the patient’s condition. Therefore, the aim of this paper is to focus on medical image registration as well as medical image fusion. In addition, the paper presents a description of the common diagnostic images along with the main characteristics of each of them. The paper also illustrates most well-known toolkits that have been developed to help the working with the registration and fusion processes. Finally, the paper presents the current challenges associated with working with medical image registration and fusion through illustrating the recent diseases/disorders that were addressed through such an analyzing process.
abstractGer	Recently, medical image registration and fusion processes are considered as a valuable assistant for the medical experts. The role of these processes arises from their ability to help the experts in the diagnosis, following up the diseases’ evolution, and deciding the necessary therapies regarding the patient’s condition. Therefore, the aim of this paper is to focus on medical image registration as well as medical image fusion. In addition, the paper presents a description of the common diagnostic images along with the main characteristics of each of them. The paper also illustrates most well-known toolkits that have been developed to help the working with the registration and fusion processes. Finally, the paper presents the current challenges associated with working with medical image registration and fusion through illustrating the recent diseases/disorders that were addressed through such an analyzing process.
abstract_unstemmed	Recently, medical image registration and fusion processes are considered as a valuable assistant for the medical experts. The role of these processes arises from their ability to help the experts in the diagnosis, following up the diseases’ evolution, and deciding the necessary therapies regarding the patient’s condition. Therefore, the aim of this paper is to focus on medical image registration as well as medical image fusion. In addition, the paper presents a description of the common diagnostic images along with the main characteristics of each of them. The paper also illustrates most well-known toolkits that have been developed to help the working with the registration and fusion processes. Finally, the paper presents the current challenges associated with working with medical image registration and fusion through illustrating the recent diseases/disorders that were addressed through such an analyzing process.
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title_short	Current trends in medical image registration and fusion
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