Derek Allman
Papers
5
Total Citations
161
H-Index
5
About
Derek Allman is pioneering the use of photoacoustic imaging to make cardiac and abdominal surgeries safer by eliminating the need for harmful ionizing radiation. His research focuses on developing real-time, image-guided robotic systems that use light and sound to visualize medical instruments and critical blood vessels inside the body. Allman’s most influential work, with 76 citations, demonstrated the first *in vivo* use of photoacoustic image guidance combined with robotic visual servoing for cardiac catheter interventions, proving that catheters can be tracked without fluoroscopy. He further validated this approach by imaging major blood vessels in the pancreas and liver during surgery (44 citations), addressing the life-threatening risk of intra-abdominal hemorrhage. To automate these systems, Allman has also applied deep learning to identify catheter tips in photoacoustic images, achieving robust segmentation in live tissue (19 citations). His contributions directly tackle the dual challenges of radiation exposure and lack of depth information in conventional fluoroscopy, offering a safer, smarter alternative for interventional procedures.
Research Focus
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