Notice of Violation of IEEE Publication Principles Analysis of cerebral blood flow imaging by registered laser speckle contrast analysis (rLASCA)

Notice of Violation of IEEE Publication Principles

???Analysis of Cerebral Blood Flow Imaging by Registered Laser Speckle Contrast Analysis (rLASCA)???
by M.S. Sini, J. Arul Linsely
in the Proceedings of the International Conference on Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011, pp. 207-212

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE???s Publication Principles.

This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

???High Resolution Cerebral Blood Flow Imaging by Registered Laser Speckle Contrast Analysis???
by Peng Miao, Abhishek Rege, Nan Li, Nitish V. Thakor, and Shanbao Tong
in the IEEE Transactions on Biomedical Engineering, Vol 57, No 5, May 2010, pp. 1152-1157

Laser speckle imaging (LSI) has been widely used for in vivo detecting cerebral blood flow (CBF) under various physiological and pathological conditions. So far, nearly all literature on in vivo LSI does not consider the influence of disturbances due to respiration and/or heart beating of animals. In this paper, we analyze how such physiologic motions affect the spatial resolution of the conventional laser speckle contrast analysis (LASCA).We propose a registered laser speckle contrast analysis (rLASCA) method which first registers raw speckle images with a 3×3 convolution kernel, normalized correlation metric and cubic B-spline interpolator, and then constructs the contrast image for CBF. rLASCA not only significantly im- roves the distinguishability of small vessels, but also efficiently suppresses the noises induced by respiration and/or heart beating. In an application of imaging the angiogenesis of rat´s brain tumor, rLASCA outperformed the conventional LASCA in providing a much higher resolution for new small vessels. As a processing method for LSI, rLASCA can be directly applied to other LSI experiments where the disturbances from different sources (like respiration, heart beating) exist.