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Article: Three-dimensional image fusion across PET+ MRI modalities based on the approach of characteristic coregistration

TitleThree-dimensional image fusion across PET+ MRI modalities based on the approach of characteristic coregistration
Authors
KeywordsCharacteristic Registration
Cross-Modality Image Fusion
Hybrid Radiodetector
Pet/Mri/Ct
Issue Date2012
PublisherWalter de Gruyter GmbH & Co KG. The Journal's web site is located at http://www.degruyter.de/rs/284_8356_ENU_h.htm
Citation
Biomedizinische Technik, 2012, v. 57 n. 5, p. 413-422 How to Cite?
AbstractBackground and aims: Because there is no complete three-dimensional (3D) hybrid detector integrated PET +MRI internationally, this study aims to investigate a registration approach for a two-dimensional (2D) hybrid based on characteristic localization to achieve a 3D fusion from the images of PET and MRI as a whole. Methods: A cubic-oriented scheme of "9-point and 3-plane" for a coregistration design was verified to be geometrically practical. Through 3D reconstruction and virtual dissection, human internal feature points were sorted to combine with preselected external feature points for matching process. By following the procedure of feature extraction and image mapping, the processes of "picking points to form planes" and "picking planes for segmentation" were executed. Eventually, the image fusion was implemented at the real-time workstation Mimics based on auto-fuse techniques called "information exchange" and "signal overlay". Results: A complementary 3D image across PET +MRI modalities, which simultaneously present metabolic activities and anatomic structures, was created with a detectable rate of 56 %. This is equivalent to the detectable rate of PET + CT or MRI + CT with no statistically significant difference, and it facilitates a 3D vision that is not yet functional for 2D hybrid imaging. Conclusions: This cross-modality fusion is doubtless an essential complement for the existing toolkit of a 2D hybrid device. Thus, it would potentially improve the efficiency of diagnosis and therapy for oncology.
Persistent Identifierhttp://hdl.handle.net/10722/174228
ISSN
2015 Impact Factor: 1.65
2015 SCImago Journal Rankings: 0.186
References

 

DC FieldValueLanguage
dc.contributor.authorPeng, MJQen_US
dc.contributor.authorYin, WQen_US
dc.contributor.authorJu, Xen_US
dc.contributor.authorAyoub, AFen_US
dc.contributor.authorKhambay, BSen_US
dc.contributor.authorChen, CTen_US
dc.contributor.authorDeng, FGen_US
dc.contributor.authorHan, Pen_US
dc.contributor.authorBai, Ben_US
dc.date.accessioned2012-11-22T01:58:51Z-
dc.date.available2012-11-22T01:58:51Z-
dc.date.issued2012en_US
dc.identifier.citationBiomedizinische Technik, 2012, v. 57 n. 5, p. 413-422en_US
dc.identifier.issn0013-5585en_US
dc.identifier.urihttp://hdl.handle.net/10722/174228-
dc.description.abstractBackground and aims: Because there is no complete three-dimensional (3D) hybrid detector integrated PET +MRI internationally, this study aims to investigate a registration approach for a two-dimensional (2D) hybrid based on characteristic localization to achieve a 3D fusion from the images of PET and MRI as a whole. Methods: A cubic-oriented scheme of "9-point and 3-plane" for a coregistration design was verified to be geometrically practical. Through 3D reconstruction and virtual dissection, human internal feature points were sorted to combine with preselected external feature points for matching process. By following the procedure of feature extraction and image mapping, the processes of "picking points to form planes" and "picking planes for segmentation" were executed. Eventually, the image fusion was implemented at the real-time workstation Mimics based on auto-fuse techniques called "information exchange" and "signal overlay". Results: A complementary 3D image across PET +MRI modalities, which simultaneously present metabolic activities and anatomic structures, was created with a detectable rate of 56 %. This is equivalent to the detectable rate of PET + CT or MRI + CT with no statistically significant difference, and it facilitates a 3D vision that is not yet functional for 2D hybrid imaging. Conclusions: This cross-modality fusion is doubtless an essential complement for the existing toolkit of a 2D hybrid device. Thus, it would potentially improve the efficiency of diagnosis and therapy for oncology.en_US
dc.languageengen_US
dc.publisherWalter de Gruyter GmbH & Co KG. The Journal's web site is located at http://www.degruyter.de/rs/284_8356_ENU_h.htmen_US
dc.relation.ispartofBiomedizinische Techniken_US
dc.subjectCharacteristic Registrationen_US
dc.subjectCross-Modality Image Fusionen_US
dc.subjectHybrid Radiodetectoren_US
dc.subjectPet/Mri/Cten_US
dc.titleThree-dimensional image fusion across PET+ MRI modalities based on the approach of characteristic coregistrationen_US
dc.typeArticleen_US
dc.identifier.emailKhambay, BS: bkhambay@hku.hken_US
dc.identifier.authorityKhambay, BS=rp01691en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1515/bmt-2011-0120en_US
dc.identifier.scopuseid_2-s2.0-84867830528en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84867830528&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume57en_US
dc.identifier.issue5en_US
dc.identifier.spage413en_US
dc.identifier.epage422en_US
dc.publisher.placeGermanyen_US
dc.identifier.scopusauthoridPeng, MJQ=55262021200en_US
dc.identifier.scopusauthoridYin, WQ=55427437400en_US
dc.identifier.scopusauthoridJu, X=8275367000en_US
dc.identifier.scopusauthoridAyoub, AF=7005361507en_US
dc.identifier.scopusauthoridKhambay, BS=7003979053en_US
dc.identifier.scopusauthoridChen, CT=7409520489en_US
dc.identifier.scopusauthoridDeng, FG=55429070300en_US
dc.identifier.scopusauthoridHan, P=55195843200en_US
dc.identifier.scopusauthoridBai, B=7102195511en_US

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