从少量2D超声切片重建个性化3D心脏模型，提升心室容积测量精度。
3D Heart Reconstruction from Sparse Pose-agnostic 2D Echocardiographic Slices
- 交替优化2D切片三维姿态与隐式神经网络融合，逐步生成个性化3D模型。
- 六切片下左室容积误差仅1.98%，远优于传统双平面法（20.24%）。
- 首次实现仅用2D切片估算右室容积（误差5.75%），临床价值高。
超声心动图在心脏病临床中不可或缺，但通常仅提供少数特定视角的二维（2D）断面图像，难以准确评估左室（LV）容积等临床参数。三维超声虽可提供3D量化，却受限于空间与时间分辨率低及手动勾画耗时。为此，我们提出一种新框架，从临床常用的稀疏2D超声切片重建个性化3D心脏解剖结构。设计了一种新型3D重建流程，通过交替优化2D切片的3D姿态估计与基于隐式神经网络的切片融合，逐步将先验3D心脏形状转化为个性化模型。在两个数据集上验证：使用六张切片时，重建3D心脏使左室容积估计误差降至1.98%，显著优于双平面法（20.24%）。此外，该框架首次实现仅凭2D切片估算右室（RV）容积，误差为5.75%。本研究为心脏超声的个性化3D结构与功能分析提供了新路径，具重要临床潜力。
原文摘要 · Abstract (English)
Echocardiography (echo) plays an indispensable role in the clinical practice of heart diseases. However, ultrasound imaging typically provides only two-dimensional (2D) cross-sectional images from a few specific views, making it challenging to interpret and inaccurate for estimation of clinical parameters like the volume of left ventricle (LV). 3D ultrasound imaging provides an alternative for 3D quantification, but is still limited by the low spatial and temporal resolution and the highly demanding manual delineation. To address these challenges, we propose an innovative framework for reconstructing personalized 3D heart anatomy from 2D echo slices that are frequently used in clinical practice. Specifically, a novel 3D reconstruction pipeline is designed, which alternatively optimizes between the 3D pose estimation of these 2D slices and the 3D integration of these slices using an implicit neural network, progressively transforming a prior 3D heart shape into a personalized 3D heart model. We validate the method with two datasets. When six planes are used, the reconstructed 3D heart can lead to a significant improvement for LV volume estimation over the bi-plane method (error in percent: 1.98\% VS. 20.24\%). In addition, the whole reconstruction framework makes even an important breakthrough that can estimate RV volume from 2D echo slices (with an error of 5.75\% ). This study provides a new way for personalized 3D structure and function analysis from cardiac ultrasound and is of great potential in clinical practice.
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