Registration of 2D cardiac images to real-time 3D ultrasound volumes for 3D stress echocardiography

K.Y. Esther Leung, Marijn van Stralen, Marco M. Voormolen, Gerard van Burken, Atilla Nemes, Folkert J. ten Cate, Marcel L. Geleijnse, Nico de Jong, Antonius F.W. van der Steen, Johan H.C. Reiber, Johan G. Bosch

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)
1 Downloads (Pure)

Abstract

Three-dimensional (3D) stress echocardiography is a novel technique for diagnosing cardiac dysfunction, by comparing wall motion of the left ventricle under different stages of stress. For quantitative comparison of this motion, it is essential to register the ultrasound data. We propose an intensity based rigid registration method to retrieve two-dimensional (2D) four-chamber (4C), two-chamber, and short-axis planes from the 3D data set acquired in the stress stage, using manually selected 2D planes in the rest stage as reference. The algorithm uses the Nelder-Mead simplex optimization to find the optimal transformation of one uniform scaling, three rotation, and three translation parameters. We compared registration using the SAD, SSD, and NCC metrics, performed on four resolution levels of a Gaussian pyramid. The registration's effectiveness was assessed by comparing the 3D positions of the registered apex and mitral valve midpoints and 4C direction with the manually selected results. The registration was tested on data from 20 patients. Best results were found using the NCC metric on data downsampled with factor two: mean registration errors were 8.1mm, 5.4mm, and 8.0° in the apex position, mitral valve position, and 4C direction respectively. The errors were close to the interobserver (7.1mm, 3.8mm, 7.4°) and intraobserver variability (5.2mm, 3.3mm, 7.0°), and better than the error before registration (9.4mm, 9.0mm, 9.9°). We demonstrated that the registration algorithm visually and quantitatively improves the alignment of rest and stress data sets, performing similar to manual alignment. This will improve automated analysis in 3D stress echocardiography.
Original languageEnglish
Title of host publicationMedical Imaging 2006
Subtitle of host publicationimage processing
EditorsJoseph M. Reinhardt, Josien P.W. Pluim
Place of PublicationBellingham, WA
PublisherSPIE
Pages1-12
Number of pages12
ISBN (Print)9780819464231
DOIs
Publication statusPublished - 2006
EventMedical Imaging 2006: Ultrasonic Imaging and Signal Processing - San Diego, USA, San Diego, United States
Duration: 12 Feb 200616 Feb 2006

Publication series

NameProceedings of SPIE
PublisherSPIE
Volume6144
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceMedical Imaging 2006: Ultrasonic Imaging and Signal Processing
CountryUnited States
CitySan Diego
Period12/02/0616/02/06
Other11-16 Feb 2006

Keywords

  • METIS-237172

Fingerprint Dive into the research topics of 'Registration of 2D cardiac images to real-time 3D ultrasound volumes for 3D stress echocardiography'. Together they form a unique fingerprint.

Cite this