Reconstruction of volumetric ultrasound panorama based on improved 3D SIFT

Dong Ni, Yim Pan Chui, Yingge Qu, Xuan Yang, Jing Qin, Tien Tsin Wong, Simon S.H. Ho, Pheng Ann Heng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

47 Citations (Scopus)


Registration of ultrasound volumes is a key issue for the reconstruction of volumetric ultrasound panorama. In this paper, we propose an improved three-dimensional (3D) scale invariant feature transform (SIFT) algorithm to globally register ultrasound volumes acquired from dedicated ultrasound probe, where local deformations are corrected by block-based warping algorithm. Original SIFT algorithm is extended to 3D and improved by combining the SIFT detector with Rohr3D detector to extract complementary features and applying the diffusion distance algorithm for robust feature comparison. Extensive experiments have been performed on both phantom and clinical data sets to demonstrate the effectiveness and robustness of our approach.
Original languageEnglish
Pages (from-to)559-566
Number of pages8
JournalComputerized Medical Imaging and Graphics
Issue number7
Publication statusPublished - 1 Oct 2009
Externally publishedYes


  • 3D SIFT
  • Ultrasound panorama
  • Ultrasound volume registration

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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