Bladder image stitching algorithm for navigation and referencing using a standard cystoscope
Ming Li, Nicole A Varble, Sandeep Gurram, Dilara Long, Vladimir Valera, Nikhil Gopal, Ivane Bakhutashvili, Sheridan Reed, William F Pritchard, John W Karanian, Sheng Xu, Bradford J Wood · 2024
Read Bladder image stitching algorithm for navigation and referencing using a standard cystoscope by Ming Li, Nicole A Varble, Sandeep Gurram, Dilara Long, Vladimir Valera, Nikhil Gopal, Ivane Bakhutashvili, Sheridan Reed, William F Pritchard, John W Karanian, Sheng Xu, Bradford J Wood (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11589604.txt.
Description
Ming Li and co-authors built a tool that stitches bladder images into one map from a standard scope exam in 2024. Doctors use scope video to find and track bladder cancer, but single frames are hard to compare across visits. Their method links frames by matched surface traits and builds a flat map of the bladder wall.
Tests used a flat model, a body-shaped bladder model, live pigs, and old patient videos. Most frames held enough traits for mapping, with match rates from 93 to 99 percent. On a repeat pass, the tool found a saved frame again within a few seconds. The pig map matched the real organ shape well after removal.
Catalog record
| CREATOR | Ming Li, Nicole A Varble, Sandeep Gurram, Dilara Long, Vladimir Valera, Nikhil Gopal, Ivane Bakhutashvili, Sheridan Reed, William F Pritchard, John W Karanian, Sheng Xu, Bradford J Wood |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 26 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |