Jon S. Heiselman
Papers
1
Total Citations
5
H-Index
1
About
Jon S. Heiselman is a biomedical engineer whose research centers on advancing image-guided interventions, particularly for laparoscopic liver surgery. His work addresses the critical challenge of soft tissue deformation, which can significantly compromise surgical accuracy. Heiselman’s major contribution lies in developing nonrigid registration techniques that compensate for deformations unique to minimally invasive procedures—such as those caused by abdominal insufflation—which differ markedly from open surgery. His most cited paper, "Technical note: Nonrigid registration for laparoscopic liver surgery using sparse intraoperative data" (2018), with 5 citations, demonstrates how sparse data can be leveraged to model and correct these deformations in real time. This work has practical implications for improving tumor localization and resection margins during laparoscopy. Heiselman’s research bridges computational modeling and clinical application, offering a pathway to more reliable navigation in complex surgical environments. His focus on sparse data registration is particularly notable for its potential to integrate seamlessly into existing surgical workflows without requiring extensive additional hardware.
Research Focus
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Top Papers
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