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Augmented visualization with depth perception cues to improve the surgeon's performance in minimally invasive surgery. Med Biol Eng Comput 2018; 57:995-1013. [PMID: 30511205 DOI: 10.1007/s11517-018-1929-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 11/03/2018] [Indexed: 01/14/2023]
Abstract
Minimally invasive techniques, such as laparoscopy and radiofrequency ablation of tumors, bring important advantages in surgery: by minimizing incisions on the patient's body, they can reduce the hospitalization period and the risk of postoperative complications. Unfortunately, they come with drawbacks for surgeons, who have a restricted vision of the operation area through an indirect access and 2D images provided by a camera inserted in the body. Augmented reality provides an "X-ray vision" of the patient anatomy thanks to the visualization of the internal organs of the patient. In this way, surgeons are free from the task of mentally associating the content from CT images to the operative scene. We present a navigation system that supports surgeons in preoperative and intraoperative phases and an augmented reality system that superimposes virtual organs on the patient's body together with depth and distance information. We implemented a combination of visual and audio cues allowing the surgeon to improve the intervention precision and avoid the risk of damaging anatomical structures. The test scenarios proved the good efficacy and accuracy of the system. Moreover, tests in the operating room suggested some modifications to the tracking system to make it more robust with respect to occlusions. Graphical Abstract Augmented visualization in minimally invasive surgery.
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Piazza R, Condino S, Alberti A, Berchiolli RN, Coppi G, Gesi M, Ferrari V, Ferrari M. Design of a sensorized guiding catheter for in situ laser fenestration of endovascular stent. Comput Assist Surg (Abingdon) 2017; 22:27-38. [DOI: 10.1080/24699322.2017.1358403] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Affiliation(s)
- Roberta Piazza
- EndoCAS Center, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
- Unit of Vascular Surgery, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
- Department of Information Engineering, University of Pisa, Pisa, Italy
| | - Sara Condino
- EndoCAS Center, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
| | - Aldo Alberti
- Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
| | - Raffaella Nice Berchiolli
- Unit of Vascular Surgery, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
| | - Gioachino Coppi
- Department of Surgery, Operative Unit of Vascular Surgery, Policlinico of Modena, Modena, Italy
| | - Marco Gesi
- Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
| | - Vincenzo Ferrari
- EndoCAS Center, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
- Department of Information Engineering, University of Pisa, Pisa, Italy
| | - Mauro Ferrari
- EndoCAS Center, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
- Unit of Vascular Surgery, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
- Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
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Condino S, Piazza R, Micheletti F, Rossi F, Pini R, Berchiolli R, Alberti A, Ferrari V, Ferrari M. Electromagnetic Guided In-Situ Laser Fenestration of Endovascular Stent-Graft: Endovascular Tools Sensorization Strategy and Preliminary Laser Testing. LECTURE NOTES IN COMPUTER SCIENCE 2016. [DOI: 10.1007/978-3-319-43775-0_7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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