{"title":"A Novel Assistive Imaging Device for Colon Map Reconstruction","authors":"Neri Niccolò Dei;Sophia Bano;Francisco Vasconcelos;Vanni Consumi;Danail Stoyanov;Agostino Stilli;Gastone Ciuti","doi":"10.1109/LRA.2024.3479704","DOIUrl":null,"url":null,"abstract":"Colonoscopy, recognised as the gold standard for diagnosing and treating colorectal cancer, faces limitations that may result in overlooking some colonic regions. This can lead to missed lesions and interval cancer, leading to incomplete treatment. Addressing this challenge, the authors present a novel Assistive Imaging Device for Colon Map Reconstruction (AID-CMR) to support clinicians in visualising the entire colonic mucosa and identifying areas that may have been missed during the procedure. The device is comprised of an overtube tooled with an imaging module on its distal end, which can be moved about a threaded silicone sleeve. The imaging module houses inflatable silicone chambers to distend the lumen, a side-viewing miniaturised full-HD camera with LEDs, a magnetic encoder, and an irrigation channel for camera cleansing. Before intervention, the device can be installed on standard colonoscopes or other tethered endoscopes. During the intervention, the device can be operated to (1) reconstruct assistive maps of the organ, (2) visualise the full anatomy, and (3) increase disease detection. Moreover, these maps may be employed for the quantification of missed regions during standard inspection. This letter introduces a proof of concept device and discusses locomotion and reconstruction tests conducted in two in-vitro conditions. These tests reveal overall procedural feasibility in terms of locomotion, exerted forces and colon map reconstruction, preserving polyp morphology.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"9 12","pages":"10780-10787"},"PeriodicalIF":4.6000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10715569","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Robotics and Automation Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10715569/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Colonoscopy, recognised as the gold standard for diagnosing and treating colorectal cancer, faces limitations that may result in overlooking some colonic regions. This can lead to missed lesions and interval cancer, leading to incomplete treatment. Addressing this challenge, the authors present a novel Assistive Imaging Device for Colon Map Reconstruction (AID-CMR) to support clinicians in visualising the entire colonic mucosa and identifying areas that may have been missed during the procedure. The device is comprised of an overtube tooled with an imaging module on its distal end, which can be moved about a threaded silicone sleeve. The imaging module houses inflatable silicone chambers to distend the lumen, a side-viewing miniaturised full-HD camera with LEDs, a magnetic encoder, and an irrigation channel for camera cleansing. Before intervention, the device can be installed on standard colonoscopes or other tethered endoscopes. During the intervention, the device can be operated to (1) reconstruct assistive maps of the organ, (2) visualise the full anatomy, and (3) increase disease detection. Moreover, these maps may be employed for the quantification of missed regions during standard inspection. This letter introduces a proof of concept device and discusses locomotion and reconstruction tests conducted in two in-vitro conditions. These tests reveal overall procedural feasibility in terms of locomotion, exerted forces and colon map reconstruction, preserving polyp morphology.
期刊介绍:
The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.