  Lymphedema is a condition of localized tissue swelling caused by a damaged
lymphatic system. Therapy to these tissues is applied manually. Some of the
methods are lymph drainage, compression therapy or bandaging. However, the
therapy methods are still insufficiently evaluated. Especially, because of not
having a reliable method to measure the change of such a soft and flexible
tissue. In this research, our goal has been providing a 3d computer vision
based method to measure the changes of the neck tissues. To do so, we used
Kinect as a depth sensor and built our algorithms for the point cloud data
acquired from this sensor. The resulting 3D models of the patient necks are
used for comparing the models in time and measuring the volumetric changes
accurately. Our discussions with the medical doctors validate that, when used
in practice this approach would be able to give better indication on which
therapy method is helping and how the tissue is changing in time.
