NDLI: A novel approach to the visualization of four-dimensional cerebral angiography with cine angiography data measured at several views

Content Provider	IEEE Xplore Digital Library
Author	Nyui, Y. Ogawa, K. Kunieda, E.
Copyright Year	2007
Description	Author affiliation: Tokyo Metropolitan Univ., Tokyo (Nyui, Y.)
Abstract	Intracranial arteriovenous malformation (AVM) has a very complex shape, so it is very difficult to decide the targeted region accurately. Intracranial AVM causes convulsion and cerebral hemorrhage, and is therefore a deadly disease. At the present time, as a treatment for AVM, stereotactic radiosurgery is more useful than surgical treatment or chemotherapy. In this radiation therapy, the accuracy of radiosurgical treatment planning for intracranial AVM relies on requiring accurate information of the three dimensional shape and size of the AVM nidus. In conventional radiosurgical treatment planning for intracranial AVM, irradiation fields are determined with dynamic X-ray CT images or angiography of the brain. However, intracranial AVM is complicated in structure, so it is usually very difficult to determine the AVM nidus accurately. The purpose of this study is to clarify the AVM nidus accurately. In order to clarify its region, we proposed a novel method with a cardio-vascular X-ray system with flat panel detector. Our proposed method uses cine angiography measured at several views, and reconstructs a four- dimensional image with these projection data. Also, we tried to reconstruct images with several iterative reconstruction algorithms for transmission tomography. In this paper, we proposed this novel method and showed the validity of our proposed method with some simulations and fundamental experiments.
Starting Page	4383
Ending Page	4388
File Size	665074
Page Count	6
File Format	PDF
ISBN	9781424409228
ISSN	10957863
DOI	10.1109/NSSMIC.2007.4437084
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Angiography Data visualization Shape X-ray imaging Image reconstruction Hemorrhaging Diseases Surgery Biomedical applications of radiation Computed tomography
Content Type	Text
Resource Type	Article

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