CN115769252A - 基于深度学习获取主动脉的方法和存储介质 - Google Patents
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Abstract
一种基于深度学习获取主动脉的方法和存储介质,所述方法包括:获取主动脉层的切片数据库与非主动脉层的切片数据库(S100);分别对主动脉层的切片数据库和非主动脉层的切片数据库进行深度学习,获得深度学习模型(S200);获取待处理的CT序列图像或CT序列图像的三维数据(S300);提取待处理的CT序列图像或CT序列图像的三维数据的特征数据(S400);根据深度学习模型、特征数据从CT序列图像中获取主动脉图像(S500)。依据特征数据和数据库获取深度学习模型,通过深度学习模型获取主动脉图像,具有提取效果好,鲁棒性高的优点,计算结果准确,在临床上具有较高的推广价值。
Description
PCT国内申请,说明书已公开。
Claims (14)
- PCT国内申请,权利要求书已公开。
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CN2020106069646 | 2020-06-29 | ||
CN2020106069631 | 2020-06-29 | ||
CN202010606963.1A CN111815587A (zh) | 2020-06-29 | 2020-06-29 | 基于ct序列图像拾取主动脉中心线上的点的方法和*** |
CN202010606964.6A CN111815588B (zh) | 2020-06-29 | 2020-06-29 | 基于ct序列图像获取降主动脉的方法和*** |
PCT/CN2020/132796 WO2022000976A1 (zh) | 2020-06-29 | 2020-11-30 | 基于深度学习获取主动脉的方法和存储介质 |
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CN202080100603.2A Pending CN115769252A (zh) | 2020-06-29 | 2020-11-30 | 基于深度学习获取主动脉的方法和存储介质 |
CN202080100602.8A Pending CN115769251A (zh) | 2020-06-29 | 2020-11-30 | 基于深度学习获取主动脉图像的*** |
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US (2) | US20230153998A1 (zh) |
EP (2) | EP4174762A1 (zh) |
JP (2) | JP2023532268A (zh) |
CN (2) | CN115769252A (zh) |
WO (2) | WO2022000977A1 (zh) |
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US12039685B2 (en) | 2019-09-23 | 2024-07-16 | Cathworks Ltd. | Methods, apparatus, and system for synchronization between a three-dimensional vascular model and an imaging device |
CN116645372B (zh) * | 2023-07-27 | 2023-10-10 | 汉克威(山东)智能制造有限公司 | 一种制动气室外观图像智能检测方法及*** |
Citations (3)
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CN109035255A (zh) * | 2018-06-27 | 2018-12-18 | 东南大学 | 一种基于卷积神经网络的ct图像中带夹层主动脉分割方法 |
CN111210401A (zh) * | 2018-11-20 | 2020-05-29 | 西门子医疗有限公司 | 根据医学图像的主动脉自动检测和量化 |
CN111815583A (zh) * | 2020-06-29 | 2020-10-23 | 苏州润心医疗器械有限公司 | 基于ct序列图像获取主动脉中心线的方法和*** |
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US20170235915A1 (en) * | 2016-02-17 | 2017-08-17 | Siemens Healthcare Gmbh | Personalized model with regular integration of data |
CN105913432B (zh) * | 2016-04-12 | 2018-08-28 | 妙智科技(深圳)有限公司 | 基于ct序列图像的主动脉提取方法及装置 |
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CN111815587A (zh) * | 2020-06-29 | 2020-10-23 | 苏州润心医疗器械有限公司 | 基于ct序列图像拾取主动脉中心线上的点的方法和*** |
CN111815589B (zh) * | 2020-06-29 | 2022-08-05 | 苏州润迈德医疗科技有限公司 | 基于ct序列图像获取无干扰冠脉树图像的方法和*** |
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2020
- 2020-11-30 EP EP20943564.3A patent/EP4174762A1/en active Pending
- 2020-11-30 WO PCT/CN2020/132798 patent/WO2022000977A1/zh unknown
- 2020-11-30 JP JP2022579901A patent/JP2023532268A/ja active Pending
- 2020-11-30 CN CN202080100603.2A patent/CN115769252A/zh active Pending
- 2020-11-30 JP JP2022579902A patent/JP7446645B2/ja active Active
- 2020-11-30 CN CN202080100602.8A patent/CN115769251A/zh active Pending
- 2020-11-30 EP EP20943267.3A patent/EP4174760A4/en active Pending
- 2020-11-30 WO PCT/CN2020/132796 patent/WO2022000976A1/zh unknown
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2022
- 2022-12-28 US US18/089,728 patent/US20230153998A1/en active Pending
- 2022-12-28 US US18/089,694 patent/US20230260133A1/en active Pending
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Publication number | Publication date |
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JP2023532268A (ja) | 2023-07-27 |
US20230260133A1 (en) | 2023-08-17 |
JP2023532269A (ja) | 2023-07-27 |
US20230153998A1 (en) | 2023-05-18 |
EP4174760A1 (en) | 2023-05-03 |
EP4174762A1 (en) | 2023-05-03 |
EP4174760A4 (en) | 2024-07-10 |
WO2022000976A1 (zh) | 2022-01-06 |
CN115769251A (zh) | 2023-03-07 |
WO2022000977A1 (zh) | 2022-01-06 |
JP7446645B2 (ja) | 2024-03-11 |
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