New developments in medical photogrammetry

Conventional photogrammetric techniques have been used for a broad variety of medical applications. Amongst them, craniofacial mapping, human trunk and extremity mapping, wound and sore mapping, as well as dental mapping are the most common. Nowadays, laser scanning and 3D probing devices have superseded photogrammetry for many of these applications, whilst photogrammetry has advanced to on-line measuring and real-time navigating applications in the medical field. Some of the developments are familiar features in surgical operating theatres today. Surgical probing devices and the key-hole surgical navigation system are two examples of such innovative development of advanced photogrammetric technique. By and large, other imaging/measurement technologies such as ultrasound, CT and MRI are generally perceived as choice inventions for body interior measurement and navigation. These technologies are efficient. Not only are they accurate for measurement and navigation, also the users requiring minimal training to operate these systems. Certainly, it seems photogrammetry is being superseded or is put on a back seat in the high-tech medical environment. So what would happen to photogrammetry in medical applications? This paper discusses potential research that may bring back the appreciation of Photogrammetry of yesteryear.

[1]  Budi Kusnoto,et al.  Craniofacial Applications of Three-Dimensional Laser Surface Scanning , 2003, The Journal of craniofacial surgery.

[2]  Patrick J. Flynn,et al.  Accuracy of 3D scanning technologies in a face scanning scenario , 2005, Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05).

[3]  B. Kusnoto,et al.  Reliability of a 3D surface laser scanner for orthodontic applications. , 2002, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.

[4]  A A Farag,et al.  Video reconstructions in dentistry. , 2003, Orthodontics & craniofacial research.

[5]  Marimuthu Palaniswami,et al.  Hand gestures for HCI using ICA of EMG , 2006 .

[6]  G A Ateshian,et al.  Knee cartilage topography, thickness, and contact areas from MRI: in-vitro calibration and in-vivo measurements. , 1999, Osteoarthritis and cartilage.

[7]  Nikolaos A. Papadopulos,et al.  Accuracy and precision of the three-dimensional assessment of the facial surface using a 3-D laser scanner , 2006, IEEE Transactions on Medical Imaging.

[8]  Halim Setan,et al.  Photogrammetry and 3D laser scanning as spatial data capture techniques for a national craniofacial database , 2005 .

[9]  K. Atkinson.  Close Range Photogrammetry and Machine Vision , 1996 .

[10]  C H Kau,et al.  The feasibility of measuring three-dimensional facial morphology in children. , 2004, Orthodontics & craniofacial research.