Laparoscopic Soft Tissue Scanning/Registration


Spatially registered 3D preoperative medical images can improve surgical accuracy and reduce reliance on memory and hand-eye coordination by the surgeon. They enable visualization of internal structures within the anatomy of a patient on the operating table. In the case of biopsy, for example, this would allow the surgeon to guide the needle tip to a tumor though opaque tissue. It has been well established that for soft tissues, image registration can be performed if the surface contours of the organ can be sensed during surgery. That is, one can align the preoperative images (e.g. CT, MRI) with a cloud of points that describe the surface of an organ. The surgeon can then use this information during the surgery to see exactly where his tool (knife, scissors, needle, etc.) is with respect to internal structures beneath the surface of the organ, BEFORE beginning to cut tissue.

Prior systems for soft tissue registration have required wide exposure (aka "open surgery") of internal organs for surface sensing. Our contribution is a scanning system that can accurately collect a cloud of points describing organ surface contour minimally invasively - through a laparoscopic port. To do this, we combine a 1D laser distance measurement device, the Optimet Conoprobe, with a Micron optical tracker. This system enables a non-contact 3D surface scan to be collected through a laparoscopic port. 

 
      
(Left) The conceptual sketch of conoscope surface scanning system. (Right) Experimental apparatus
used in initial  proof-of-concept studies.

The images below show the results of a registration experiment using an anthropomorphic liver phantom.  A CT scan of the phantom provided the green and orange surface. The blue point cloud was taken from a conoscope scan of the same phantom.  An Iterative Closest Point (ICP) registration was then used to register the point cloud to the CT generated surface.  The phantom and the registration results are shown below.

Scanned Point cloud on CT scanned surface of liver phantom

Liver Phantom

Conference Publications:


  1. Lathrop RA, Webster, R J  III, 2009, “Conoscopic Holography for Image Registration: A Feasibility Study", Proceedings of SPIE, 2009.