NDLI: Fusion imaging in neurosonology: Clinician’s questions, technical potentials and applicability

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Biomedical Engineering Letters : Volume 4, Issue 3, September 2014

Biomedical Engineering Letters : Volume 4, Issue 2, June 2014

Biomedical Engineering Letters : Volume 4, Issue 1, March 2014

Biomedical Engineering Letters : Volume 3

Biomedical Engineering Letters : Volume 2

Biomedical Engineering Letters : Volume 1

Fusion imaging in neurosonology: Clinician’s questions, technical potentials and applicability

Content Provider	Springer Nature Link
Author	Schreiber, Stephan J. Sakas, Georgios Kolev, Velizar Beni, Stefade
Copyright Year	2014
Abstract	Ultrasound is a well established imaging technique with widespread use in diagnosis and treatment monitoring of neurological diseases. However, direct and exact comparison of results from conventional ultrasound with other frequently used diagnostic modalities like magnetic resonance imaging (MRI) or computed tomography (CT) is impaired by different field of views and non-identical imaging planes. A new technical approach — ultrasoud fusion imaging might help to overcome this problem.Fusion imaging is a technique which allows direct comparison of live ultrasound images with exactly corresponding images derived from pre-registered CT or MRI datasets. Different approaches for the matching procedure — manual or automated — can be applied for image fusion and movements of the patient are automatically corrected for.The technique can widely be applied within the field of neurosonology. Clinical examples are given for its use in extra- and intracranial analysis of brain supplying arteries, intracranial parenchymal lesions but also for its use in peripheral nerve and muscle disease.Ultrasound fusion imaging is a promising technique which permits easy and exact matching between live ultrasound and CT or MRI image modalities, allowing for the first time a direct comparison between these techniques. This is a major step forward towards the facilitation of information exchange, reduction of interobserver variability and improvenment of image documentation.
Starting Page	347
Ending Page	354
Page Count	8
File Format	PDF
ISSN	20939868
Journal	Biomedical Engineering Letters
Volume Number	4
Issue Number	4
e-ISSN	2093985X
Language	English
Publisher	The Korean Society of Medical and Biological Engineering
Publisher Date	2015-01-15
Publisher Place	Korea
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Ultrasound Virtual navigation Neurology Image matching Automated fusion Biomedical Engineering Biophysics and Biological Physics Biomedicine general Medical and Radiation Physics
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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