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I am conducting a study on different image reconstruction algorithms for computed tomography (CT). My aim is to investigate which of the image reconstruction algorithms that have the highest signal-to-noise ratio (SNR). My dataset is 100 patients who underwent a CT brain scan. Each CT scan will be reconstructed with 4 different image reconstruction algorithms. Then I will measure the SNR for each algorithm and patient and compare the different reconstruction algorithms with regard to the SNR. So, we scan the patient's head and then the computer at once provides four different image reconstruction algorithms of the scan (4 different image sets) and then we measure the SNR of each image set and compare it to the other reconstruction algorithms (other image sets). Or, if it makes it easier for you to think. Consider the following corresponding scenario: You take a blood sample (corresponding to "CT scan") from the patient and measure the glucose level with 4 different apparatus (corresponding to the 4 different image reconstruction algorithms). And then you compare the blood glucose level (corresponding to "the SNR") between the four different apparatus. So, my question is if I should use a repeated measures ANOVA or just an ordinary one-way ANOVA. I am reposting my question because I have not received a definitive answer.

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  • $\begingroup$ Please do not repost. You should work on your original post to better it! $\endgroup$ – kjetil b halvorsen Feb 27 at 2:24
  • $\begingroup$ Ok, I have edited my previous question. I hope that you can help me answer it. $\endgroup$ – Michael Feb 27 at 11:57