3D Reconstruction for Lung Surface Modeling from MR Image Sequences Based on Multiple Registration Using Hough Transform

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書誌事項

公開日
2012
DOI
  • 10.11485/itetr.36.39.0_9
公開者
一般社団法人 映像情報メディア学会

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説明

This work addresses the reconstruction for an animated lung surface modeling by using respiratory motion patterns from temporal image sequences of MR (Magnetic Resonance), which were acquired in free breathing. Since a temporal image sequence represents a spatio-temporal volume, coronal and sagittal images have in common a vertical line in space. The multiple registration is based on the registration of the common vertical line among multiple coronal and sagittal temporal image sequences. A temporal sequence associated with the common vertical line defines a 2D spatio-temporal (2DST) image where respiratory motion is detected using Hough transform and active contours. Then, the coincidence points between respiratory motions are searched by finding consistency among common vertical lines in order to reconstruct the 3D lung surface model. The experimental results are shown to evaluate the proposed method.

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