Academic Journal

Large deformation inverse consistent elastic image registration

التفاصيل البيبلوغرافية
العنوان: Large deformation inverse consistent elastic image registration
المؤلفون: Jianchun He, Gary E. Christensen
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www2.wiau.man.ac.uk/caws/Conferences/10/proceedings/8/papers/86/ldceir-photo-ready.pdf.
بيانات النشر: Springer-Verlag
سنة النشر: 2003
المجموعة: CiteSeerX
الوصف: This paper presents a new image registration algorithm that accommodates locally large nonlinear deformations. The algorithm concurrently estimates the forward and reverse transformations between a pair of images while minimizing the inverse consistency error between the transformations. It assumes that the two images to be registered contain topologically similar objects and were collected using the same imaging modality. The large deformation transformation from one image to the other is accommodated by concatenating a sequence of small deformation transformations. Each incremental transformation is regularized using a linear elastic continuum mechanical model. Results of ten 2D and twelve 3D MR image registration experiments are presented that tested the algorithm’s performance on real brain shapes. For these experiments, the inverse consistency error was reduced on average by 50 times in 2D and 30 times in 3D compared to the viscous fluid registration algorithm. 1
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.99.427; http://www2.wiau.man.ac.uk/caws/Conferences/10/proceedings/8/papers/86/ldceir-photo-ready.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.99.427
http://www2.wiau.man.ac.uk/caws/Conferences/10/proceedings/8/papers/86/ldceir-photo-ready.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.B5F06D2F
قاعدة البيانات: BASE