Kontrast Maddesiz Anjiyografide Damar Korunumu için Uyarlanmiş Geriçatim

Efe Ilicak; Suheyla Cetin; Emine Ulku Saritas; Gozde Unal; Tolga Çukur

doi:10.1109/SIU.2016.7495806

Kontrast Maddesiz Anjiyografide Damar Korunumu için Uyarlanmiş Geriçatim

Translated title of the contribution: Adaptive reconstruction for vessel preservation in unenhanced MR angiography

Efe Ilicak, Suheyla Cetin, Emine Ulku Saritas, Gozde Unal, Tolga Çukur

Department of Artificial Intelligence and Data Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The image quality of unenhanced magnetic resonance angiography, which images blood vessels without contrast agents, is limited by constraints related to scan time. To address this problem, techniques that undersample angiographic data and then apply regularized reconstructions are used. Conventional reconstructions employ regularization terms with uniform spatial weighting. Thus, they can yield improper suppression of aliasing artifacts and poor blood/background contrast. In this study, a reconstruction strategy is evaluated that applies spatially-adaptive regularization based on vessel maps obtained via a tractographic segmentation. This strategy is compared with conventional methods in terms of peak signal to noise ratio, structural similarity and contrast.

Translated title of the contribution	Adaptive reconstruction for vessel preservation in unenhanced MR angiography
Original language	Turkish
Title of host publication	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	577-580
Number of pages	4
ISBN (Electronic)	9781509016792
DOIs	https://doi.org/10.1109/SIU.2016.7495806
Publication status	Published - 20 Jun 2016
Event	24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey Duration: 16 May 2016 → 19 May 2016

Publication series

Name	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

Conference

Conference	24th Signal Processing and Communication Application Conference, SIU 2016
Country/Territory	Turkey
City	Zonguldak
Period	16/05/16 → 19/05/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/SIU.2016.7495806

Cite this

Ilicak, E., Cetin, S., Saritas, E. U., Unal, G., & Çukur, T. (2016). Kontrast Maddesiz Anjiyografide Damar Korunumu için Uyarlanmiş Geriçatim. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings (pp. 577-580). Article 7495806 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2016.7495806

Ilicak, Efe ; Cetin, Suheyla ; Saritas, Emine Ulku et al. / Kontrast Maddesiz Anjiyografide Damar Korunumu için Uyarlanmiş Geriçatim. 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 577-580 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings).

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title = "Kontrast Maddesiz Anjiyografide Damar Korunumu i{\c c}in Uyarlanmi{\c s} Geri{\c c}atim",

abstract = "The image quality of unenhanced magnetic resonance angiography, which images blood vessels without contrast agents, is limited by constraints related to scan time. To address this problem, techniques that undersample angiographic data and then apply regularized reconstructions are used. Conventional reconstructions employ regularization terms with uniform spatial weighting. Thus, they can yield improper suppression of aliasing artifacts and poor blood/background contrast. In this study, a reconstruction strategy is evaluated that applies spatially-adaptive regularization based on vessel maps obtained via a tractographic segmentation. This strategy is compared with conventional methods in terms of peak signal to noise ratio, structural similarity and contrast.",

keywords = "magnetic resonance angiography, reconstruction, segmentation, unenhanced, vasculature",

author = "Efe Ilicak and Suheyla Cetin and Saritas, {Emine Ulku} and Gozde Unal and Tolga {\c C}ukur",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 24th Signal Processing and Communication Application Conference, SIU 2016 ; Conference date: 16-05-2016 Through 19-05-2016",

year = "2016",

month = jun,

day = "20",

doi = "10.1109/SIU.2016.7495806",

language = "T{\"u}rk{\c c}e",

series = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",

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Ilicak, E, Cetin, S, Saritas, EU, Unal, G & Çukur, T 2016, Kontrast Maddesiz Anjiyografide Damar Korunumu için Uyarlanmiş Geriçatim. in 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings., 7495806, 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 577-580, 24th Signal Processing and Communication Application Conference, SIU 2016, Zonguldak, Turkey, 16/05/16. https://doi.org/10.1109/SIU.2016.7495806

Kontrast Maddesiz Anjiyografide Damar Korunumu için Uyarlanmiş Geriçatim. / Ilicak, Efe; Cetin, Suheyla; Saritas, Emine Ulku et al.
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 577-580 7495806 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Kontrast Maddesiz Anjiyografide Damar Korunumu için Uyarlanmiş Geriçatim

AU - Ilicak, Efe

AU - Cetin, Suheyla

AU - Saritas, Emine Ulku

AU - Unal, Gozde

AU - Çukur, Tolga

PY - 2016/6/20

Y1 - 2016/6/20

N2 - The image quality of unenhanced magnetic resonance angiography, which images blood vessels without contrast agents, is limited by constraints related to scan time. To address this problem, techniques that undersample angiographic data and then apply regularized reconstructions are used. Conventional reconstructions employ regularization terms with uniform spatial weighting. Thus, they can yield improper suppression of aliasing artifacts and poor blood/background contrast. In this study, a reconstruction strategy is evaluated that applies spatially-adaptive regularization based on vessel maps obtained via a tractographic segmentation. This strategy is compared with conventional methods in terms of peak signal to noise ratio, structural similarity and contrast.

AB - The image quality of unenhanced magnetic resonance angiography, which images blood vessels without contrast agents, is limited by constraints related to scan time. To address this problem, techniques that undersample angiographic data and then apply regularized reconstructions are used. Conventional reconstructions employ regularization terms with uniform spatial weighting. Thus, they can yield improper suppression of aliasing artifacts and poor blood/background contrast. In this study, a reconstruction strategy is evaluated that applies spatially-adaptive regularization based on vessel maps obtained via a tractographic segmentation. This strategy is compared with conventional methods in terms of peak signal to noise ratio, structural similarity and contrast.

KW - magnetic resonance angiography

KW - reconstruction

KW - segmentation

KW - unenhanced

KW - vasculature

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U2 - 10.1109/SIU.2016.7495806

DO - 10.1109/SIU.2016.7495806

M3 - Konferans katkısı

AN - SCOPUS:84982805896

T3 - 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

SP - 577

EP - 580

BT - 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th Signal Processing and Communication Application Conference, SIU 2016

Y2 - 16 May 2016 through 19 May 2016

ER -

Ilicak E, Cetin S, Saritas EU, Unal G, Çukur T. Kontrast Maddesiz Anjiyografide Damar Korunumu için Uyarlanmiş Geriçatim. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 577-580. 7495806. (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). doi: 10.1109/SIU.2016.7495806

Kontrast Maddesiz Anjiyografide Damar Korunumu için Uyarlanmiş Geriçatim

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