AI-enhanced ultra-thin optical shape mapping probes for manufacturing and medicine

用于制造和医学的人工智能增强型超薄光学形状测绘探头

• 批准号: 2879031
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2879031
• 关键词: AI; enhanced; ultra; thin; optical

Accurately measuring internal geometries of objects is critical for manufacturing, inspection and medicine. Examples of manufactured products whose internal structure should be inspected includes engine parts, tissue scaffolds, biomedical implants and prosthetics, and drug delivery devices. In manufacturing, hollow parts are typically inspected using X-ray computed tomography (CT) but this can very expensive, particularly if high resolution is required, and is not accessible to smaller, agile manufacturers. Further, it often cannot detect internal surface textures accurate well [1], may be limited to application to certain materials (e.g. it cannot work with lead) and may expose factory workers to dangerous X-ray radiation. A similar problem arises in biomedicine, particularly during colonoscopy procedures where surgeons are look for suspicious pre-cancerous growths, termed polyps. Polyps take many different shapes and sizes from flat to large and round. Different shapes can represent more or less aggressive cancers and be challenging to spot using conventional imaging [2]. Therefore, obtaining 3D information of these could provide important information but requires a shape measurement tool that is ultrathin and flexible enough to fit inside an endoscope [3].References[1] A. Thompson, I. Maskery, and R. K. Leach, "X-ray computed tomography for additive manufacturing: a review," Measurement Science and Technology, vol. 27, no. 7, p. 072001, 2016.[2] N. G. Burgess, L. F. Hourigan, S. A. Zanati, G. J. Brown, R. Singh, S. J. Williams, S. C. Raftopoulos, D. Ormonde, A. Moss, K. Byth, et al., "Risk stratification for covert invasive cancer among patients referred for colonic endoscopic mucosal resection: a large multicenter cohort," Gastroenterology, vol. 153, no. 3, pp. 732-742, 2017.[3] M. Visentini-Scarzanella, H. Kawasaki, R. Furukawa, M. A. Bonino, S. Arolfo, G. L. Secco, A. Arezzo, A. Menciassi, P. Dario, and G. Ciuti, "A structured light laser probe for gastrointestinal polyp size measurement: a preliminary comparative study," Endoscopy International Open, vol. 6, no. 05, pp. E602-E609, 201

准确测量物体的内部几何形状对于制造、检查和医学至关重要。应检查内部结构的制成品包括发动机零件、组织支架、生物医学植入物和假肢以及药物输送装置。在制造过程中，空心零件通常使用 X 射线计算机断层扫描 (CT) 进行检查，但这可能非常昂贵，特别是在需要高分辨率的情况下，并且小型、敏捷的制造商无法实现。此外，它通常无法很好地检测内部表面纹理 [1]，可能仅限于某些材料的应用（例如，它不能与铅一起工作），并且可能使工厂工人暴露在危险的 X 射线辐射下。生物医学中也存在类似的问题，特别是在结肠镜检查过程中，外科医生寻找可疑的癌前生长，称为息肉。息肉有多种不同的形状和大小，从扁平到大到圆形。不同的形状可以代表或多或少的侵袭性癌症，并且使用传统成像很难发现[2]。因此，获得这些的 3D 信息可以提供重要信息，但需要一种超薄且足够灵活的形状测量工具，以适合内窥镜 [3]。参考文献 [1] A. Thompson、I. Maskery 和 R. K. Leach，“X用于增材制造的射线计算机断层扫描：综述，”测量科学与技术，卷。 27、没有。 7，p。 072001, 2016.[2] N. G. Burgess、L. F. Hourigan、S. A. Zanati、G. J. Brown、R. Singh、S. J. Williams、S. C. Raftopoulos、D. Ormonde、A. Moss、K. Byth 等人，“结肠癌转诊患者中隐性浸润性癌症的风险分层”内镜下粘膜切除术：一个大型多中心队列，”胃肠病学，卷。 153，没有。 3，第 732-742 页，2017 年。[3] M. Visentini-Scarzanella、H. Kawasaki、R. Furukawa、M. A. Bonino、S. Arolfo、G. L. Secco、A. Arezzo、A. Menciassi、P. Dario 和 G. Ciuti，“用于胃肠道息肉的结构光激光探头尺寸测量：初步比较研究，”内窥镜国际公开赛，卷。 6、没有。 05，第 E602-E609 页，201