Semi-automatic matching of OCT and IVUS images for image fusion

Olivier Pauly, Gozde Unal*, Greg Slabaugh, Stephane Carlier, Tong Fang

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

7 Atıf (Scopus)

Özet

Medical imaging is essential in the diagnosis of atherosclerosis. In this paper, we propose the semi-automatic matching of two promising and complementary intravascular imaging techniques, Intravascular Ultrasound (IVUS) and Optical Coherence Tomography (OCT), with the ultimate goal of producing hybrid images with increased diagnostic value for assessing arterial health. If no ECG gating has been performed on the IVUS and OCT pullbacks, there is typically an anatomical shuffle (displacement in time and space) in the image sequences due to the catheter motion in the artery during the cardiac cycle, and thus, this is not possible to perform a 3D registration. Therefore, the goal of our work is to detect semi-automatically the corresponding images in both modalities as a preprocessing step for the fusion. Our method is based on the characterization of the lumen shape by a set of Gabor Jets features. We also introduce different correction terms based on the approximate position of the slice in the artery. Then we train different support vector machines based on these features to recognize these correspondences. Experimental results demonstrate the usefulness of our approach, which achieves up to 95% matching accuracy for our data.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıMedical Imaging 2008
Ana bilgisayar yayını alt yazısıImage Processing
DOI'lar
Yayın durumuYayınlandı - 2008
Harici olarak yayınlandıEvet
EtkinlikMedical Imaging 2008: Image Processing - San Diego, CA, United States
Süre: 17 Şub 200819 Şub 2008

Yayın serisi

AdıProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Hacim6914
ISSN (Basılı)1605-7422

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???Medical Imaging 2008: Image Processing
Ülke/BölgeUnited States
ŞehirSan Diego, CA
Periyot17/02/0819/02/08

Parmak izi

Semi-automatic matching of OCT and IVUS images for image fusion' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap