Keywords: Placenta, Placenta
Motivation: Accurate automatic segmentation of the placenta and identification of blood vessel distribution at the placental borders are crucial for diagnosing placental accrete spectrum (PAS) in MRI, yet effective methods are currently limited.
Goal(s): Introduce a refinement fusion method based on U-Net (RFU-Net) for accurately segmenting the placenta. And propose a boundary de-precision (BD) technique to identify the blood vessel distribution around the placental boundary.
Approach: MRI of 200 pregnant females were enrolled. RFU-Net and BD were conducted and evaluated.
Results: RFU-Net improved the accuracy of placenta segmentation (Dice = 0.9314). The BD resolved the blurring of the placenta boundary.
Impact: This study provided a novel method for the automatic identification of placental border vessel distribution.
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.
Keywords