公开(公告)号：US20110267340A1

公开(公告)日：2011-11-03

申请号：US13097785

申请日：2011-04-29

申请人： Martin F.G. Kraus ,  Benjamin M. Potsaid ,  James G. Fujimoto ,  Markus Anton Mayer ,  Ruediger Bock ,  Joachim Hornegger

发明人： Martin F.G. Kraus ,  Benjamin M. Potsaid ,  James G. Fujimoto ,  Markus Anton Mayer ,  Ruediger Bock ,  Joachim Hornegger

IPC分类号： G06T15/00

CPC分类号： G06T11/006 ,  A61B3/0025 ,  A61B3/102 ,  G06T7/248 ,  G06T7/30 ,  G06T2207/10101 ,  G06T2207/30041

摘要： Images of an object, such as OCT scans of a human eye, can include distortions and data gaps due to relative motion of the object and the image acquisition device. Methods and systems for correction of such distortions and data gaps are described herein. Motion-corrected data is arrived at by applying three-dimensional transforms to input three-dimensional data sets that represent at least partially overlapping regions of the imaged object. The three dimensional transforms are computed based on an objective function that accounts for similarity between the transformed three-dimensional data sets and the estimated motion of the object relative to an imaging instrument. Methods and systems described herein advantageously eliminate the need for postulated assumptions and reliance on landmarks and are capable of filling data gaps, thereby producing high quality, undistorted images of objects subject to movement during imaging. Multiple motion-corrected data sets can be merged or combined to produce a data set with improved image quality.

摘要翻译： 诸如人眼的OCT扫描的物体的图像可能包括由于物体和图像采集装置的相对运动引起的失真和数据间隙。 本文描述了用于校正这种失真和数据间隙的方法和系统。 通过应用三维变换来输入表示成像对象的至少部分重叠区域的三维数据集来获得运动校正数据。 基于目标函数来计算三维变换，该目标函数考虑了变换的三维数据集之间的相似性以及物体相对于成像仪器的估计的运动。 本文描述的方法和系统有利地消除了对假定假设和对地标的依赖的需要，并且能够填补数据间隙，从而产生在成像期间经受运动的物体的高质量，未失真的图像。 可以将多个运动校正数据集合或组合以产生具有改进的图像质量的数据集。

公开(公告)号：US09269144B2

公开(公告)日：2016-02-23

申请号：US13097785

申请日：2011-04-29

申请人： Martin F. G. Kraus ,  Benjamin M. Potsaid ,  James G. Fujimoto ,  Markus Anton Mayer ,  Ruediger Bock ,  Joachim Hornegger

发明人： Martin F. G. Kraus ,  Benjamin M. Potsaid ,  James G. Fujimoto ,  Markus Anton Mayer ,  Ruediger Bock ,  Joachim Hornegger

IPC分类号： G06T7/00 ,  A61B3/10

CPC分类号： G06T11/006 ,  A61B3/0025 ,  A61B3/102 ,  G06T7/248 ,  G06T7/30 ,  G06T2207/10101 ,  G06T2207/30041

摘要： Images of an object, such as OCT scans of a human eye, can include distortions and data gaps due to relative motion of the object and the image acquisition device. Methods and systems for correction of such distortions and data gaps are described herein. Motion-corrected data is arrived at by applying three-dimensional transforms to input three-dimensional data sets that represent at least partially overlapping regions of the imaged object. The three dimensional transforms are computed based on an objective function that accounts for similarity between the transformed three-dimensional data sets and the estimated motion of the object relative to an imaging instrument. Methods and systems described herein advantageously eliminate the need for postulated assumptions and reliance on landmarks and are capable of filling data gaps, thereby producing high quality, undistorted images of objects subject to movement during imaging. Multiple motion-corrected data sets can be merged or combined to produce a data set with improved image quality.

摘要翻译： 诸如人眼的OCT扫描的物体的图像可能包括由于物体和图像采集装置的相对运动引起的失真和数据间隙。 本文描述了用于校正这种失真和数据间隙的方法和系统。 通过应用三维变换来输入表示成像对象的至少部分重叠区域的三维数据集来获得运动校正数据。 基于目标函数来计算三维变换，该目标函数考虑了变换的三维数据集之间的相似性以及物体相对于成像仪器的估计的运动。 本文描述的方法和系统有利地消除了对假定假设和对地标的依赖的需要，并且能够填补数据间隙，从而产生在成像期间经受运动的物体的高质量，未失真的图像。 可以将多个运动校正数据集合或组合以产生具有改进的图像质量的数据集。