Virtual Fly-Over : A New Visualization Technique For Virtual Colonoscopy 1,* M. Sabry Hassouna, 1 Aly A. Farag and 2 Robert Falk 1 CVIP Lab, University of Louisville, Kentucky 2 Jewish Hospital, Louisville, Kentucky. Related Methods. Experimental Results.
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Virtual Fly-Over : A New Visualization Technique For Virtual Colonoscopy1,* M. Sabry Hassouna, 1 Aly A. Farag and 2 Robert Falk
1 CVIP Lab, University of Louisville, Kentucky 2 Jewish Hospital, Louisville, Kentucky
Step 1: Centerline Extraction
Step 2: Divide Centerline into Segments
In these rendered views, Fly-Over detects
higher number of colonic polyps than Fly-
In these rendered views, both Fly-Through and Fly-Over detect the same number of colonic polyps. However, Fly-Over still gives better FOV.
Step 3: Generation of Rings
Step 4: Compute Normal Vectors
The proposed Fly-Over is compared with Fly-Through in terms of surface visibility coverage. The average surface visibility is 99.6 %.
Fly-Through (Antegrade and Retrograde )
Step 5: Align Normal Vectors
Colorectal colon cancer (CCC) is the third most common form of cancer and the second leading cause of death among cancers in the western world [1,3].
Since CCC is largely preventable, the colonoscopy screening test is recommended for all people age 50 and over.
Although colonoscopy detects more than 90% of colorectal cancers, it is invasive, uncomfortable, inconvenient, and sometimes can not reach the caecum, resulting in an incomplete exam .
On the contrary, virtual colonoscopy (VC) is a computer-based alternative to real colonoscopy.
VC is not intended to replace real colonoscopy, but rather to complement it by providing additional supportive information such as visualizing in both directions, passing high grade stenoses, and planning for surgery. In addition, it is the only alternative offered to those patients that are not comfortable with real colonoscopy or are severely ill .
Step 6: Control Split Orientation
Undetected surface patches are visualized in dark color.
Step 7: Colon Split
The colonoscopy datasets are provided by 3DR Inc., Louisville, Kentucky.
A patent has been filed.
* M. Sabry Hassouna is currently with Vital Images Inc.