diff --git a/build.gradle b/build.gradle
index e21d7ee..8292f78 100644
--- a/build.gradle
+++ b/build.gradle
@@ -9,7 +9,7 @@
def groupName = 'org.nrg.xnat.plugin'
def artifactName = 'radiomics'
-def pluginVersion = '1.1.0'
+def pluginVersion = '1.1.1'
group groupName
version pluginVersion
diff --git a/src/main/resources/schemas/radm/radm.xsd b/src/main/resources/schemas/radm/radm.xsd
index 2ab6ab8..811b2f9 100644
--- a/src/main/resources/schemas/radm/radm.xsd
+++ b/src/main/resources/schemas/radm/radm.xsd
@@ -255,24 +255,24 @@
Joint entropy is a measure of the randomness/variability in neighborhood intensity values. Defined by IBSI as Joint entropy.
-
-
-
+
+
+
IDM (a.k.a Homogeneity 2) is a measure of the local homogeneity of an image. IDM weights are the inverse of the Contrast weights (decreasing exponentially from the diagonal in the GLCM).
-
+
IDMN (inverse difference moment normalized) is a measure of the local homogeneity of an image. IDMN weights are the inverse of the Contrast weights (decreasing exponentially from the diagonal in the GLCM). Unlike Homogeneity2, IDMN normalizes the square of the difference between neighboring intensity values by dividing over the square of the total number of discrete intensity values.
-
+
ID (a.k.a. Homogeneity 1) is another measure of the local homogeneity of an image. With more uniform gray levels, the denominator will remain low, resulting in a higher overall value.
-
+
IDN (inverse difference normalized) is another measure of the local homogeneity of an image. Unlike Homogeneity1, IDN normalizes the difference between the neighboring intensity values by dividing over the total number of discrete intensity values.