Registration of brain tumor images using hyper-elastic regularization

Andac Hamamci; Gozde Unal

doi:10.1007/978-1-4614-6351-1_10

Registration of brain tumor images using hyper-elastic regularization

Andac Hamamci
, Gozde Unal^*

^*Bu çalışma için yazışmadan sorumlu yazar

Sabanci University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Bölüm › bilirkişi

1 Atıf (Scopus)

Özet

In this paper, we present a method to estimate a deformation field between two instances of a brain volume having tumor. The novelties include the assessment of the disease progress by observing the healthy tissue deformation and usage of the Neo-Hookean strain energy density model as a regularizer in deformable registration framework. Implementations on synthetic and patient data provide promising results, which might have relevant use in clinical problems.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Computational Biomechanics for Medicine
Ana bilgisayar yayını alt yazısı	Models, Algorithms and Implementation
Yayınlayan	Springer New York
Sayfalar	101-114
Sayfa sayısı	14
ISBN (Elektronik)	9781461463511
ISBN (Basılı)	9781461463504
DOI'lar	https://doi.org/10.1007/978-1-4614-6351-1_10
Yayın durumu	Yayınlandı - 1 Oca 2013
Harici olarak yayınlandı	Evet

Bibliyografik not

Publisher Copyright:
© Springer Science+Business Media New York 2013.

Belgeye Erişim

10.1007/978-1-4614-6351-1_10

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Registration of brain tumor images using hyper-elastic regularization",

abstract = "In this paper, we present a method to estimate a deformation field between two instances of a brain volume having tumor. The novelties include the assessment of the disease progress by observing the healthy tissue deformation and usage of the Neo-Hookean strain energy density model as a regularizer in deformable registration framework. Implementations on synthetic and patient data provide promising results, which might have relevant use in clinical problems.",

author = "Andac Hamamci and Gozde Unal",

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year = "2013",

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AU - Unal, Gozde

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AB - In this paper, we present a method to estimate a deformation field between two instances of a brain volume having tumor. The novelties include the assessment of the disease progress by observing the healthy tissue deformation and usage of the Neo-Hookean strain energy density model as a regularizer in deformable registration framework. Implementations on synthetic and patient data provide promising results, which might have relevant use in clinical problems.

UR - https://www.scopus.com/pages/publications/84956467704

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DO - 10.1007/978-1-4614-6351-1_10

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EP - 114

BT - Computational Biomechanics for Medicine

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Registration of brain tumor images using hyper-elastic regularization

Özet

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap