Visuomotor Map Determines How Visually Guided Reaching Movements are Corrected Within and Across Trials. Copyright Â© 2013 Wiley Periodicals, Inc. T1 bias correction of large flip angle acquisitions using estimated T1 values with flip angle mapping yields fat fraction measurements of similar accuracy and superior precision compared to low flip angle acquisitions. Compared to low flip angle measurements, phantom and in vivo measurements demonstrate better precision and accuracy in PDFF measurements if images were acquired at a high flip angle, with T1 bias corrected using T1 estimates and flip angle mapping. Simulations show similar results in PDFF error between small flip angle measurements and corrected large flip angle measurements as long as T1 estimates were within one standard deviation from the true value. PDFF measurements acquired using small flip angles were then compared to both sets of corrected large flip angle measurements for accuracy and precision. Signal-to-noise ratio (SNR) maps were used to measure precision of the reconstructed PDFF maps. T1 bias was corrected using a priori T1 values for water and fat, both with and without flip angle correction. PDFF maps reconstructed from high flip angle IDEAL measurements were simulated and acquired from phantoms and volunteer L4 vertebrae. To develop a new method of reducing T1 bias in proton density fat fraction (PDFF) measured with iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL). Yang, Issac Y Cui, Yifan Wiens, Curtis N Wade, Trevor P Friesen-Waldner, Lanette J McKenzie, Charles A â€¢ Direct quantitative analysis of dynamic data are available after this correction.Â«Â lessįat fraction bias correction using T1 estimates and flip angle mapping. â€¢ Errors less than 1â€“2 pixels are typically obtained. â€¢ The method corrects EBSD maps more precisely than presently available methods. moreÂ Â» Highlights: â€¢ A new method is suggested to correct nonlinear spatial distortion in EBSD maps.

By comparing with other correction methods, it is shown that the thin plate spline method is most efficient to correct different local distortions in the electron backscatter diffraction maps. The accuracy of the correction as well as theoretical and practical aspects of using the thin plate spline method is discussed in detail. A method, thin plate spline, is introduced and tested to correct such coordinate distortions in the maps after the electron backscatter diffraction measurements. Lin, F.X.ĭrift during electron backscatter diffraction mapping leads to coordinate distortions in resulting orientation maps, which affects, in some cases significantly, the accuracy of analysis. Error corrected Rmap data results in an assembly that is more contiguous, and covers a larger fraction of the genome.Ī method to correct coordinate distortion in EBSD maps Lastly, we show the utility of error correction by demonstrating how it improves the assembly of Rmap data. It also successfully scales to large genomes, improving the quality of 78% and 99% of the Rmaps in the plum and goat genomes, respectively. Similarly, out of the insertion errors corrected, 82.19% are true errors. Out of the deletion errors corrected, 98.26% are true errors. Our experimental results demonstrate that cOMET has high prevision and corrects 82.49% of insertion errors and 77.38% of deletion errors in Rmap data generated from the E. We develop cOMET to error correct Rmap data, which to the best of our knowledge is the only optical mapping error correction method. Moreover, they are arguably harder to tackle since the data is numerical and susceptible to inaccuracy. The challenges associated with using Rmap data are analogous to dealing with insertions and deletions in the alignment of long reads. However, a major impediment in the use of this data is the variety and quantity of errors in the raw optical mapping data, which are called Rmaps. Recently it has been used for scaffolding contigs and assembly validation for large-scale sequencing projects, including the maize, goat, and amborella genomes. Optical mapping is a unique system that is capable of producing high-resolution, high-throughput genomic map data that gives information about the structure of a genome. Mukherjee, Kingshuk Washimkar, Darshan Muggli, Martin D Salmela, Leena Boucher, Christina

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