Summary of the techniques used to measure ADC values from ADC map images generated by OsiriX.

Table 3: Summary of the techniques used to measure ADC values from ADC map images generated by OsiriX.

ADC Measurement Technique	Method of Measurement	Area Covered
Semi-Automated techniques/Mean ADC value segmentation of the ROI selected (Figure 4.12) by associating pixels that are connected to a selection (Figure 4) [12]
3D Segmentation	1. The AT is identified on the ADC map by the operator. 2. A selection point is chosen on the ADC map. 3. Computer creates segmented area with labelled pixels that lie within a range of values related to the operator selection. The software then segments the AT on the full series (images) of the ADC maps.	Volume (Mean/SD): Axial 0.335/0.247 Sagittal 0.312/0.211
2D Segmentation	1. The AT is identified on the ADC map by the operator. 2. A selection point is chosen on the ADC map. 3. Computer creates segmented area with labelled pixels that lie within a range of values related to the selection. 4. The software then segments the AT on one image of the ADC maps. Step 1-4 repeated on all images for a full segmentation.	Volume (Mean/SD): Axial 0.363/0.283 Sagittal 0.405/0.272
One point segmentation	1. The AT is identified on the ADC map by the operator. 2. Several selection point are chosen on an ADC map image. 3. Computer Labels pixels that are connected and are within a neighbourhood of to the selected points. Computer generates ADC values.	10 pixels for each point on the ADC map.
Manual ROIs are selected by the operator, and an mean ADC value is then generated
One point	One selected point in each image that passes through the AT tendon on consecutive images.	2D pos. X173.869, Y316.221px 3D pos. X 60.512mmY 93.358 mmZ 55.254 mm map
Pencil (ROIs) point Draw	ROI is drawn manually (point by point) combined to incorporates larger sections of AT on consecutive images.	Volume (Mean/SD): Axial 0.061/0.052 Sagittal 0.050/0.051