Abstract #4303

Rapid 3D MR cholangiopancreatography in a breath-hold using deep learning constrained Compressed SENSE reconstruction

Yu Zhang¹, Chunchao Xia¹, Xiaoyong Zhang², and Zhenlin Li¹

¹Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, ²Clinical Science, Philips Healthcare, Chengdu, China

Synopsis

In this work, we aimed to use a deep learning based Compressed SENSE reconstruction algorithm, presented here as Artificial Intelligence Compressed-SENSE (AI-CS), to improve image quality of 3D magnetic resonance cholangiopancreatography (MRCP) in a breath hold (BH). The results demonstrated that AI-CS BH MRCP can enable improved image quality and show great visibility of small ductal structures than other previous methods.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.