Accurate Non-rigid Registration of Lung Images Based on Mutual Information

In clinical diagnosis of lung disease, registration of lung images from different imaging systems can provide a multi-informative image and improve its diagnostic accuracy. In this study, the original lung images were obtained from computed tomography (CT) and single-photon emission computed tomography (SPECT). After the decomposition of the images using wavelet transform, a non-rigid registration were proposed, in which CT image was used as the reference image and SPECT image was used as the floating image. In registration, the mutual information between the reference and floating images was calculated in the process of translation, rotation and elastic transformation. At last, the result of the registration was evaluated by the edges of the bone, muscle, thorax and lung tissues in CT and SPECT images. It showed an accuracy registration between lung CT and SPECT images.

[1]  P. François,et al.  Application to Lung Conformai Radiotherapy of a SPECT and Computerised Tomography (C.T.) Image Registration Method , 2000 .

[2]  John M. Tyler,et al.  A fast and accurate method to register medical images using Wavelet Modulus Maxima , 2000, Pattern Recognit. Lett..

[3]  Dinggang Shen,et al.  Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[4]  N. Takita,et al.  Image registration between CT, SPECT and dose map images of lung and its application to image analysis in radiation therapy , 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).

[5]  Lisa Tang,et al.  Quantitative evaluation on the accuracy of image registration methods in SPECT guided radiation therapy for lung cancer patients , 2009 .

[6]  Bram van Ginneken,et al.  Computer analysis of computed tomography scans of the lung: a survey , 2006, IEEE Transactions on Medical Imaging.

[7]  Qiuqi Ruan,et al.  A Survey on Evaluation Methods for Medical Image Registration , 2007, 2007 IEEE/ICME International Conference on Complex Medical Engineering.

[8]  Di Liu,et al.  A Stationary Wavelet Transform Based Approach to Registration of Planning CT and Setup Cone beam-CT Images in Radiotherapy , 2014, Journal of Medical Systems.

[9]  Laszlo Papp,et al.  Extended Normalized Mutual Information for Lung SPECT - CT Registration , 2009, 2009 3rd International Conference on Bioinformatics and Biomedical Engineering.

[10]  Stephen T. C. Wong,et al.  oint registration and segmentation of serial lung CT images for image-guided ung cancer diagnosis and therapy , 2009 .

[11]  F. Pernus,et al.  MULTI-FEATURE MUTUAL INFORMATION IMAGE REGISTRATION , 2012 .

[12]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[13]  João Manuel R S Tavares,et al.  Medical image registration: a review , 2014, Computer methods in biomechanics and biomedical engineering.

[14]  S Shcherbinin,et al.  Complexity and accuracy of image registration methods in SPECT-guided radiation therapy , 2010, Physics in medicine and biology.

[15]  Bernard Dubray,et al.  Evaluation of a rigid registration method of lung perfusion SPECT and thoracic CT. , 2005, AJR. American journal of roentgenology.

[16]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[17]  Colin W. Morris,et al.  Analyzing the Mallat Wavelet Transform to Delineate Contour and Textural Features , 2000, Comput. Vis. Image Underst..

[18]  Adil Al-Mayah,et al.  Deformable image registration of heterogeneous human lung incorporating the bronchial tree. , 2010, Medical physics.

[19]  Nicholas Hardcastle,et al.  Accuracy of deformable image registration for contour propagation in adaptive lung radiotherapy , 2013, Radiation oncology.

[20]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[21]  James M Balter,et al.  Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines. , 2004, Medical physics.

[22]  Noboru Yamamoto,et al.  Problems with registration-directed clinical trials for lung cancer in Japan. , 2007, The Tohoku journal of experimental medicine.