Reconstruction of Complex Vasculature by Varying the Slope of the Scan Plane in High-Field Magnetic Resonance Imaging


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Аннотация

Reconstruction of vascular net of small laboratory animals from magnetic resonance imaging magnetic resonance imaging (MRI) data is associated with some problems. First of all this is due to the physics of nuclear magnetic resonance nuclear magnetic resonance signal registration. Scanner is sensible to the blood flow propagating through the section and shows real situation about vessel presence only if it is perpendicular to the scanning plane. If the vessel is parallel to the scanning plane scanner does not shows vessel presence. This circumstance causes the fragmentation of reconstructed vascular net. Despite the fact that all vessels in brain must be connected reconstructed vascular net consists of several fragments. We propose new algorithm allowing for reconstruction fragmentation-free vascular net according to the data of MRI scanner. Our approach is based on multiple scanning, object under consideration is probed by several sets of parallel planes. Our method allows for elimination or significant reduction mentioned disadvantage. The algorithm is applied to real MRI data of small laboratory animals and shows good results.

Авторлар туралы

S. Maltseva

Sobolev Institute of Mathematics SB RAS; Lavrentyev Institute of Hydrodynamics SB RAS; Novosibirsk State University

Хат алмасуға жауапты Автор.
Email: sv_maltseva@mail.ru
Ресей, Novosibirsk; Novosibirsk; Novosibirsk

A. Cherevko

Lavrentyev Institute of Hydrodynamics SB RAS; Novosibirsk State University; Institute International Tomography Center SB RAS

Email: sv_maltseva@mail.ru
Ресей, Novosibirsk; Novosibirsk; Novosibirsk

A. Khe

Lavrentyev Institute of Hydrodynamics SB RAS; Novosibirsk State University; Institute International Tomography Center SB RAS

Email: sv_maltseva@mail.ru
Ресей, Novosibirsk; Novosibirsk; Novosibirsk

A. Akulov

Institute International Tomography Center SB RAS; Institute of Cytology and Genetics SB RAS

Email: sv_maltseva@mail.ru
Ресей, Novosibirsk; Novosibirsk

A. Savelov

Institute International Tomography Center SB RAS

Email: sv_maltseva@mail.ru
Ресей, Novosibirsk

A. Tulupov

Novosibirsk State University; Institute International Tomography Center SB RAS

Email: sv_maltseva@mail.ru
Ресей, Novosibirsk; Novosibirsk

E. Derevtsov

Sobolev Institute of Mathematics SB RAS; Novosibirsk State University

Email: sv_maltseva@mail.ru
Ресей, Novosibirsk; Novosibirsk

M. Moshkin

Novosibirsk State University; Institute International Tomography Center SB RAS; Institute of Cytology and Genetics SB RAS

Email: sv_maltseva@mail.ru
Ресей, Novosibirsk; Novosibirsk; Novosibirsk

A. Chupakhin

Lavrentyev Institute of Hydrodynamics SB RAS; Novosibirsk State University; Institute International Tomography Center SB RAS

Email: sv_maltseva@mail.ru
Ресей, Novosibirsk; Novosibirsk; Novosibirsk

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© Springer-Verlag Wien, 2015