Registration and fusion techniques for medical images: Demonstration and evaluation

Faliagka, E; Matsopoulos, G; Tsakalidis, A; Tsaknakis, J; Tzimas, G

dc.contributor.author	Faliagka, E	en
dc.contributor.author	Matsopoulos, G	en
dc.contributor.author	Tsakalidis, A	en
dc.contributor.author	Tsaknakis, J	en
dc.contributor.author	Tzimas, G	en
dc.date.accessioned	2014-03-01T02:53:26Z
dc.date.available	2014-03-01T02:53:26Z
dc.date.issued	2011	en
dc.identifier.issn	18650929	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36324
dc.subject	Fusion	en
dc.subject	Image processing	en
dc.subject	Medical systems	en
dc.subject	Registration	en
dc.subject.other	Automatic matching method	en
dc.subject.other	DICOM format	en
dc.subject.other	Fusion	en
dc.subject.other	Fusion algorithms	en
dc.subject.other	Fusion techniques	en
dc.subject.other	Image processing technique	en
dc.subject.other	Integrated systems	en
dc.subject.other	Medical images	en
dc.subject.other	Medical systems	en
dc.subject.other	Multi-layered	en
dc.subject.other	Parallel processing	en
dc.subject.other	Real time	en
dc.subject.other	Registration	en
dc.subject.other	Relative movement	en
dc.subject.other	System supports	en
dc.subject.other	Three-dimensional (3D) image	en
dc.subject.other	Working environment	en
dc.subject.other	Biomedical engineering	en
dc.subject.other	Computerized tomography	en
dc.subject.other	Diagnosis	en
dc.subject.other	Digital image storage	en
dc.subject.other	Image fusion	en
dc.subject.other	Image matching	en
dc.subject.other	Image processing	en
dc.subject.other	Imaging systems	en
dc.subject.other	Integrated optics	en
dc.subject.other	Magnetic resonance imaging	en
dc.subject.other	Rating	en
dc.subject.other	Three dimensional	en
dc.subject.other	Medical imaging	en
dc.title	Registration and fusion techniques for medical images: Demonstration and evaluation	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-18472-7_2	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-18472-7_2	en
heal.publicationDate	2011	en
heal.abstract	In this work, we present an integrated system for the registration and fusion of medical images, named «dIaGnosis». It is often necessary to align medical images to illustrate the changes between the data retrieved at different times so as to assess the progress of a disease, or to assess the effectiveness of a treatment. The proposed system supports the storage, retrieval, distribution and presentation of medical images from different modalities, such as CT and MRI, in DICOM format. It also supports multiple examinations per patient and uses parallel processing threads to perform the processing of the acquired three-dimensional (3D) images in almost real time. In this paper, the architecture and the working environment of the implemented system are presented in detail, along with a pilot scenario that demonstrates the system in use. Additionally, the registration and fusion algorithms implemented are presented and evaluated, along with the image processing techniques used for the enhancement of medical images. The contribution of the proposed work is multilayered. It provides automatic matching methods based on both segmented surfaces and on different levels of gray, and it improves the alignment process when there is a relative movement and / or distortion of images in the data collected from different imaging systems. © 2011 Springer-Verlag Berlin Heidelberg.	en
heal.journalName	Communications in Computer and Information Science	en
dc.identifier.doi	10.1007/978-3-642-18472-7_2	en
dc.identifier.volume	127 CCIS	en
dc.identifier.spage	15	en
dc.identifier.epage	28	en