From 2d13f9d3548a603ccc5bbdca6384254ad9ebf010 Mon Sep 17 00:00:00 2001
From: Motohiro-TABUCHI <53799785+Motohiro-TABUCHI@users.noreply.github.com>
Date: Mon, 16 Feb 2026 08:11:48 +0900
Subject: [PATCH 1/3] Create snr_star.md

---
 src/content/ij/plugins/snr_star.md | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 src/content/ij/plugins/snr_star.md

diff --git a/src/content/ij/plugins/snr_star.md b/src/content/ij/plugins/snr_star.md
new file mode 100644
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+++ b/src/content/ij/plugins/snr_star.md
@@ -0,0 +1 @@
+

From 3056e2515fc8f2736a632e54d7953b62fd0aac71 Mon Sep 17 00:00:00 2001
From: Motohiro-TABUCHI <53799785+Motohiro-TABUCHI@users.noreply.github.com>
Date: Mon, 16 Feb 2026 10:57:07 +0900
Subject: [PATCH 2/3] Update snr_star.md

---
 src/content/ij/plugins/snr_star.md | 37 ++++++++++++++++++++++++++++++
 1 file changed, 37 insertions(+)

diff --git a/src/content/ij/plugins/snr_star.md b/src/content/ij/plugins/snr_star.md
index 8b13789179..bd396ca574 100644
--- a/src/content/ij/plugins/snr_star.md
+++ b/src/content/ij/plugins/snr_star.md
@@ -1 +1,38 @@
+---
+title: SNRstar – Covariance-based SNR measurement
+categories: [Analysis]
+---
+
+## SNRstar – Covariance-based SNR measurement
+
+Author: Motohiro TABUCHI
+
+SNRstar is an ImageJ macro that estimates signal variance and noise variance using covariance between two repeated images acquired under identical imaging conditions.  
+It provides an unbiased and statistically optimal estimation of SNR.
+
+### Features
+
+- Covariance-based signal variance estimation
+- Noise variance estimation from difference of images
+- Outputs SNR* [dB], ROI size, signal variance, and noise variance
+- Simple workflow using ImageJ ROI tools
+
+### Requirements
+
+- ImageJ 1.53 or later
+- Exactly two observed images of identical dimensions acquired under identical imaging conditions
+
+### Download
+
+[GitHub Repository](https://github.com/Motohiro-TABUCHI/SNR_star_Tool)
+
+### Notes
+
+- Assumes additive, zero-mean, independent noise between the two images
+- Larger ROIs improve estimation stability
+- Negative covariance may indicate unsuitable imaging conditions
+
+### Reference
+
+- Tabuchi M, Kiguchi T, Ikenaga H. SNR estimation for image quality evaluation in X-ray CT. Jpn J Radiol Technol. 2022;78:464–72. https://doi.org/10.6009/jjrt.2022-1154
 

From 4a560ce0ad725d8fa532f38b990e8166c844608c Mon Sep 17 00:00:00 2001
From: Curtis Rueden <ctrueden@wisc.edu>
Date: Sun, 15 Feb 2026 21:01:20 -0600
Subject: [PATCH 3/3] snr_star: use citation include for reference

---
 src/content/ij/plugins/snr_star.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/content/ij/plugins/snr_star.md b/src/content/ij/plugins/snr_star.md
index bd396ca574..e882bc3518 100644
--- a/src/content/ij/plugins/snr_star.md
+++ b/src/content/ij/plugins/snr_star.md
@@ -1,6 +1,7 @@
 ---
 title: SNRstar – Covariance-based SNR measurement
 categories: [Analysis]
+doi: 10.6009/jjrt.2022-1154
 ---
 
 ## SNRstar – Covariance-based SNR measurement
@@ -34,5 +35,4 @@ It provides an unbiased and statistically optimal estimation of SNR.
 
 ### Reference
 
-- Tabuchi M, Kiguchi T, Ikenaga H. SNR estimation for image quality evaluation in X-ray CT. Jpn J Radiol Technol. 2022;78:464–72. https://doi.org/10.6009/jjrt.2022-1154
-
+{% include citation %}