Compensating Motion Artifacts of 3D in vivo SD-OCT Scans

被引：0

作者：

Mueller, O. ^{[1
]}

Donner, S. ^{[2
,3
]}

Klinder, T. ^{[4
]}

Bartsch, I. ^{[3
]}

Krueger, A. ^{[2
,3
]}

Heisterkamp, A. ^{[2
,3
]}

Rosenhahn, B. ^{[1
]}

机构：

[1] Leibniz Univ Hannover, Inst Informat Verarbeitung, Hannover, Germany

[2] Laser Zentrum Hannover eV, Hannover, Germany

[3] Hannover Med Sch, CrossBIT, Hannover, Germany

[4] Philips Res Hamburg, Hamburg, Germany

来源：

MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2012, PT I | 2012年 / 7510卷

关键词：

OPTICAL COHERENCE TOMOGRAPHY;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a probabilistic approach for compensating motion artifacts in 3D in vivo SD-OCT (spectral-domain optical coherence tomography) tomographs. Subject movement causing axial image shifting is a major problem for in vivo imaging. Our technique is applied to analyze the tissue at percutaneous implants recorded with SD-OCT in 3D. The key challenge is to distinguish between motion and the natural 3D spatial structure of the scanned subject. To achieve this, the motion estimation problem is formulated as a conditional random field (CRF). For efficient inference, the CRF is approximated by a Gaussian Markov random field. The method is verified on synthetic datasets and applied on noisy in vivo recordings showing significant reduction of motion artifacts while preserving the tissue geometry.

引用

页码：198 / 205

页数：8

共 6 条

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