Motion Measurements in Low-Contrast X-ray Imagery

Measuring motion in medical imagery becomes more and more important, in particular for object tracking, image registration, and local displacement measurements. Such measurements are especially difficult in megavoltage X-ray images (portal images), which are used to control the position of patients in high precision radiotherapy. Low contrast, blur, and noise render accurate measurements difficult.

[1]  Chulhee Lee,et al.  Registration and statistical analysis of PET images using the wavelet transform , 1995 .

[2]  Gaudenz Danuser,et al.  Deformable multi template matching with application to portal images , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[3]  P. Anandan,et al.  Hierarchical Model-Based Motion Estimation , 1992, ECCV.

[4]  A. Gruen ADAPTIVE LEAST SQUARES CORRELATION: A POWERFUL IMAGE MATCHING TECHNIQUE , 1985 .

[5]  Karl-Rudolf Koch,et al.  Parameter estimation and hypothesis testing in linear models , 1988 .

[6]  Gaudenz Danuser Stereo Light Microscope Calibration for 3D Submicron Vision , 1996 .

[7]  M van Herk,et al.  A matrix ionisation chamber imaging device for on-line patient setup verification during radiotherapy. , 1988, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[8]  Gaudenz Danuser,et al.  Observing deformations of 20 nm with a low-numerical-aperture light microscope , 1996, Other Conferences.

[9]  W. Föstner Reliability analysis of parameter estimation in linear models with application to mensuration problems in computer vision , 1987 .

[10]  Martin Berger The framework of least squares template matching , 1998 .

[11]  Wolfgang Förstner Reliability analysis of parameter estimation in linear models with applications to mensuration problems in computer vision , 1987, Comput. Vis. Graph. Image Process..

[12]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[13]  J Moseley,et al.  A semiautomatic method for registration of portal images. , 1994, Medical physics.

[14]  L Dong,et al.  A portal image alignment and patient setup verification procedure using moments and correlation techniques. , 1996, Physics in medicine and biology.

[15]  S Shalev,et al.  Pseudocorrelation: a fast, robust, absolute, grey-level image alignment algorithm. , 1994, Medical physics.

[16]  Tony Lindeberg,et al.  Direct estimation of affine image deformations using visual front-end operations with automatic scale selection , 1995, Proceedings of IEEE International Conference on Computer Vision.

[17]  A Boxwala,et al.  Core-based portal image registration for automatic radiotherapy treatment verification. , 1995, International journal of radiation oncology, biology, physics.

[18]  M van Herk,et al.  Automatic on-line inspection of patient setup in radiation therapy using digital portal images. , 1993, Medical physics.

[19]  Gaudenz Danuser Observing Deformations of 20 Nanometer with a Low Numerical Aperture Light Microscope , 1996 .