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mskalign   Wukong


A non-invasive and radiation-free

4D solution for spine alignment analysis and follow-up.

mskalign Wukong is a novel and portable medical device that provides non-invasive and non-radiation care for the spine with 4D modelling of the spine. Endowed with the advanced 3D depth sensing module and deep learning techniques, mskalign Wukong can obtain back geometry as well as quantify surface appearance with ease. Frequent longitudinal follow-ups enhance treatment planning and follow-ups.


Why Wukong

mskalign Wukong measuring technology is one of the most cutting technologies for 3D optical depth 4D spine alignments. It allows radiation-free and marker-less surface topography scanning methods with additional 3D reconstruction of the spine. Varied clinical parameters from objective analysis of the body contour, scoliosis, kyphosis, and various spinal deformities can be shown.


mskalign Wukong system utilizes optical 3D sensing techniques to obtain back 3D appearance for spine deformity analysis which is totally radiation-free.


The core imaging device is designed in a portable way and installed on a mobile stand for the ease of movement.


With the assorted software, the user can get instant analytic results within 2-3 seconds. The results achieves over 85% accuracy.


Associated software and cellphone apps have been specifically designed according to user habit for both doctors and patients to facilitate different users.


With the software and APPs, Doctors can access the Patient data remotely and patients can easily track their disease management outcomes while communicating with doctors if there are any concerns.


Compared with current spinal medical imaging systems, mskalign Wukong system is economical and helps alleviate the burden that spinal problems place on patients, payers, and providers.

Functions & Features

Automatic Detection of Anatomical Landmarks

Use AI algorithm to automatically identify the feature points on the back of the subject, without the need for prior affixing of marker points or manual identification by the operator. This way of working can greatly accelerate measurement efficiency while reducing the operator's burden, which is especially suitable for early screening and primary diagnosis.


[J] Nan Meng, Kwan-Yee K. Wong, Moxin Zhao, Jason P.Y. Cheung, Teng Zhang, "radiograph-comparable image synthesis for spine alignment analysis using deep learning with prospective clinical validation", Lancet: EClinicalMedicine, vol. 61, 102050, July 2023.

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