RightAsisMarker

Does anyone know what landmark the RightAsisMarker represents? More specifically, I wonder how it relates to the actual RASIS_internal of the pelvis. When the model is viewed, this point is flying off, detached from the surface of the pelvis. Its global coordinates are {0.1105476, -0.05987972, 0.117813} and differ from the RASIS_internal

Hi David,

marker positions always depend on where and who the were put on the subject. How skinny was the subject, how similar is the pelvis of the subject to the standard pelvis bone. Are you talking about the standard gait trial from the repository?

Amir,

Let me explain a little further and rephrase my question. I am identifying landmarks on the hip bone of the AMMRepository’s StandingModel (v6.0) for the purpose of scaling a model using linear point-based scaling. Of main interest are specific bony landmarks including the ASIS and PSIS. In order to identify these points, I am enlarging and color coding them using AnyDrawNode. I assume that I can find these points under the HumanModel folder: Main.HumanModel.BodyModel.Trunk.SegmentsLumbar.PelvisSeg…

Obviously, this folder includes many points whose name are not very explicit. I wonder if there is any documentation where I can verify whether some of these points are indeed the bony landmarks that I am interested in. More specifically, I need to know if I can use BuckleNodeRight to identify the Right ASIS.

This point appears to be floating off on air, detached from the bone itself but is the closest point I can identify as the Right ASIS.

I’m relatively new to AnyBody so any advice will be greatly appreciated. Thank you!!

Hi David,

The standard body set in AMS6.0 and AMMR v1.6 contains data from a cadaver study from Twente University (TLEM = Twente Lower Extrem. Model). They recorded (Klein-Horseman et al.) muscle attachment points, bony landmarks, joint centers, etc. We included them into the model, however, they did not make CT scans from those cadavers. Therefore, bones from another cadaver had to be used and scaled to match the measured values.
In your case, that means, that the nodes are correct in relation to all muscle attachment points, joint centers, etc…, but the visualization of the bone is not correct. In some areas bone visualization and measurements are ideally matching, in other unfortunately not.
We are recording with Twente University again a new data set, whereby bones and all measured nodes are from the same subject. We will hopefully be able to release that model soon (TLEM2).