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Registration of ultrasonography sequences based on temporal regions

S. Schäfer, P. Angelelli, K. Nylund, O. H. Gilja, and K. Tönnies

Abstract

2D Ultrasonography images with parallel contrast enhanced sequences for analysis constitute a rapid and inexpensive imaging technique with high temporal resolution to assess perfusion of tissue. However, motion from various influences corrupts the inter-pixel correspondences between different time frames and therefore hampers computer-assisted analysis of perfusion parameters. We present a user-supported method applying a temporal similarity matrix to remove frames with uncorrectable out-of-plane motion. For the remaining regions of frames, motion influence can be compensated for by image registration. Subsequently B-Spline based registration is applied using the temporal regions with automatic determination of a suitable reference frame image. Evaluation with ground truth data of six datasets comparing a medical expert frame analysis to the proposed technique yields 85.1% sensitivity and 81.7% specificity in average. On average 6% of the frames have been erroneously included in temporal regions, although they contain out-of-plane motion.

S. Schäfer, P. Angelelli, K. Nylund, O. H. Gilja, and K. Tönnies, "Registration of ultrasonography sequences based on temporal regions," in Proc. Intl. Symp. Image and Signal Processing and Analysis (ISPA), 2011, p. 749–754.
[BibTeX]

2D Ultrasonography images with parallel contrast enhanced sequences for analysis constitute a rapid and inexpensive imaging technique with high temporal resolution to assess perfusion of tissue. However, motion from various influences corrupts the inter-pixel correspondences between different time frames and therefore hampers computer-assisted analysis of perfusion parameters. We present a user-supported method applying a temporal similarity matrix to remove frames with uncorrectable out-of-plane motion. For the remaining regions of frames, motion influence can be compensated for by image registration. Subsequently B-Spline based registration is applied using the temporal regions with automatic determination of a suitable reference frame image. Evaluation with ground truth data of six datasets comparing a medical expert frame analysis to the proposed technique yields 85.1% sensitivity and 81.7% specificity in average. On average 6% of the frames have been erroneously included in temporal regions, although they contain out-of-plane motion.
@INPROCEEDINGS {schaefer11registration,
author = "Sebastian Sch{\"a}fer and Paolo Angelelli and Kim Nylund and Odd Helge Gilja and Klaus T{\"o}nnies",
title = "Registration of ultrasonography sequences based on temporal regions",
booktitle = "Proc. Intl. Symp. Image and Signal Processing and Analysis (ISPA)",
year = "2011",
pages = "749--754",
abstract = "2D Ultrasonography images with parallel contrast enhanced sequences for analysis constitute a rapid and inexpensive imaging technique with high temporal resolution to assess perfusion of tissue. However, motion from various influences corrupts the inter-pixel correspondences between different time frames and therefore hampers computer-assisted analysis of perfusion parameters. We present a user-supported method applying a temporal similarity matrix to remove frames with uncorrectable out-of-plane motion. For the remaining regions of frames, motion influence can be compensated for by image registration. Subsequently B-Spline based registration is applied using the temporal regions with automatic determination of a suitable reference frame image. Evaluation with ground truth data of six datasets comparing a medical expert frame analysis to the proposed technique yields 85.1% sensitivity and 81.7% specificity in average. On average 6% of the frames have been erroneously included in temporal regions, although they contain out-of-plane motion.",
pdf = "pdfs/schaefer11Registration.pdf",
images = "images/schaefer11registration.jpg",
thumbnails = "images/schaefer11registration_thumb.jpg",
location = "Dubrovnik, Croatia",
url = "//ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6046702"
}
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