Best Practice Highlight
Metron's Guided Mark-Up: Availability, benefits, value.
You often read about Metron's Guided Mark-Up options in our newsletters so we wanted to talk a little more about them in this month's issue.
What is it?
Metron supports a process called "Guided Mark-Up" in which the user is prompted to pick key points in a defined image. Metron then uses those picked points to compute many important parameters for the measurement of a particular equine or small animal skeletal image.
Why would you want to use it?
The notion of Guided Mark-Up is powerful because it gives a standardized repeatable means for different practitioners to measure certain features. Metron does the calculation and the comparisons for you.
What Guided Mark-Ups are available in Metron?
Hoof | Metron generates a total of 17 different measurements which include virtually every calculation described in veterinary literature and more for the hoof. These include palmer angle, P3 Descent, Coffin-Joint Angle, Length of P2, P3 Distance to Ground, and Toe Support %.
Feline and Canine
VHS | Metron generates three measurements based on pick points of the chest image for the important parameters of the Vertebral Heart Score.
Hip DI and CI Analysis | Metron generates the right and left index for the analysis based on the picked points on the "Distraction Index" or "Compression Index" pelvis images.
TPLO | Three measurements are generated from the joint image when the picked points are selected to provide the Tibial Plane Angle and Radial Saw Diameter.
TTA | Metron guides the user through a standard mark-up methodology which determines the size of the 'advancement' and thus helps select the proper surgical hardware.
Norberg Hip | The right and left Norberg angles are generated based on the picked points on the hip image.
DAR Analysis | Metron will generate the left and right Acetabular slopes based on picked points of the joint image for this Dorsal Analysis.
An excerpt from the US patent covering Metron's Guided Mark-Up procedure: A method for analyzing biomechanical conformation of the lower leg and hoof of animals, for example a horse, from images (photographs, radiographs, etc) is described. In particular, there is provided a method to analyze images that may include certain scale markers. A user may be guided to pick certain key points in the images, from which a special set of biomechanical parameters may be computed. Using these parameters, the conformation of the hoof and leg can be analyzed in various ways, including comparison to a database of other animals, tracking changes over time, or by means of quantitative scoring rules.