427 research outputs found
Analytic description of the image to patient torso registration problem in image guided interventions
Objective: The accurate registration of virtual pre-operative information of the human body anatomy, obtained as images
with imaging devices, with real intra-operative information is one of the key aspects on which effective Image Guided
Surgery (IGS) is based. The registration of pre-operative images on the real patient, during abdominal and thoracic
interventions, is influenced by many parameters, which in many cases are influenced each other, thus making it often
difficult to define the problem and consequently to solve it for each specific kind of intervention. The objective of this
paper is to obtain an analytic description of the 3D image to patient registration problem, which can be more intuitive than
the traditional textual descriptions.
Methods: The problem is formalized and various parameters affecting the registration are macro-classified in function of
their nature.
Results: The problem is analytically described discussing for each macro-category of parameters potential solutions to
avoid or to reduce their contribution to the registration error.
Conclusions: The availability of an analytic description of the image to patient torso registration problem can be
beneficial for teaching IGS, to describe existing registration strategies, and to search new ones for each kind of surgery
using a systematic approach
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