A practical salient region feature based 3D multi-modality registration method for medical images

Dieter A. Hahn; Gabriele Wolz; Yiyong Sun; Joachim Hornegger; Frank Sauer; Torsten Kuwert; Chenyang Xu

doi:10.1117/12.653071

10 March 2006 A practical salient region feature based 3D multi-modality registration method for medical images

Dieter A. Hahn, Gabriele Wolz, Yiyong Sun, Joachim Hornegger, Frank Sauer, Torsten Kuwert, Chenyang Xu

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61442P (2006) https://doi.org/10.1117/12.653071
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

We present a novel representation of 3D salient region features and its integration into a hybrid rigid-body registration framework. We adopt scale, translation and rotation invariance properties of those intrinsic 3D features to estimate a transform between underlying mono- or multi-modal 3D medical images. Our method combines advantageous aspects of both feature- and intensity-based approaches and consists of three steps: an automatic extraction of a set of 3D salient region features on each image, a robust estimation of correspondences and their sub-pixel accurate refinement with outliers elimination. We propose a region-growing based approach for the extraction of 3D salient region features, a solution to the problem of feature clustering and a reduction of the correspondence search space complexity. Results of the developed algorithm are presented for both mono- and multi-modal intra-patient 3D image pairs (CT, PET and SPECT) that have been acquired for change detection, tumor localization, and time based intra-person studies. The accuracy of the method is clinically evaluated by a medical expert with an approach that measures the distance between a set of selected corresponding points consisting of both anatomical and functional structures or lesion sites. This demonstrates the robustness of the proposed method to image overlap, missing information and artefacts. We conclude by discussing potential medical applications and possibilities for integration into a non-rigid registration framework.

Citation Download Citation

Dieter A. Hahn, Gabriele Wolz, Yiyong Sun, Joachim Hornegger, Frank Sauer, Torsten Kuwert, and Chenyang Xu "A practical salient region feature based 3D multi-modality registration method for medical images", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61442P (10 March 2006); https://doi.org/10.1117/12.653071

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available