Evaluation of State-of-the-Art Hardware Architectures for Fast Cone-Beam CT Reconstruction [electronic resource] / by Holger Scherl.

By:

Scherl, Holger [author.]

Contributor(s):

SpringerLink (Online service)

Publisher: Wiesbaden : Vieweg+Teubner, 2011Description: XX, 138 p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783834882592

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

004.24 23

LOC classification:

QA76.9.E94

Online resources:

Click here to access online

In: Springer eBooksSummary: This book considers the field of computed tomography including a review of state-of-the-art reconstruction algorithms and a concise assessment of the most recent hardware architectures. Holger Scherl introduces the reader to the reconstruction problem in computed tomography and its major scientific challenges that range from computational efficiency to the fulfillment of Tuy's sufficiency condition. The assessed hardware architectures include multi- and many-core systems, cell broadband engine architecture, graphics processing units, and field programmable gate arrays. The author focuses on the interplay between these recent hardware platforms and modern computed tomography reconstruction algorithms.

Item type:

eBooks

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This book considers the field of computed tomography including a review of state-of-the-art reconstruction algorithms and a concise assessment of the most recent hardware architectures. Holger Scherl introduces the reader to the reconstruction problem in computed tomography and its major scientific challenges that range from computational efficiency to the fulfillment of Tuy's sufficiency condition. The assessed hardware architectures include multi- and many-core systems, cell broadband engine architecture, graphics processing units, and field programmable gate arrays. The author focuses on the interplay between these recent hardware platforms and modern computed tomography reconstruction algorithms.