从单张心脏核磁切片中同时定位左心室并估计三维朝向
Automatic LV Localization and Short-Axis Plane Estimation from Arbitrary CMR Slice
- 用连续无歧义的极坐标嵌入表示心室朝向
- 在4个数据集上实现86.18%的mIoU和3.39°的角度误差
- 适合需要精准空间建模的心脏影像分析研究者
准确估计左心室（LV）朝向对心脏磁共振（CMR）成像及后续分析至关重要。现有方法通常将朝向识别建模为离散视图分类或依赖多切片几何交集，限制了其对连续3D朝向的建模能力，并影响跨任意切片的泛化性能。本文提出一种新范式：仅从单张CMR切片中联合完成左心室定位与3D朝向估计。为探究该设定，我们适配了代表性朝向感知检测框架至CMR领域，并分析其局限性。在此基础上，提出极耦合圆周（PCC）嵌入，提供连续且无歧义的朝向表示。同时，通过从体积化CMR分割数据集中自动采样构建可扩展基准。在四个数据集上的大量实验表明，该方法表现优异，平均mIoU达86.18%，平均角度偏差为3.39°。本研究确立了单切片左心室朝向建模的新任务设置，并提供了具几何一致性的空间感知CMR分析框架。代码已公开于https://github.com/yuyi1005/cmr-3d-ood。
原文摘要 · Abstract (English)
Accurate estimation of left ventricular (LV) orientation is essential for cardiac magnetic resonance (CMR) imaging and downstream analysis. Existing methods typically formulate orientation recognition as discrete view classification or rely on multi-slice geometric intersection, limiting their ability to model continuous 3D orientation and generalize across arbitrary slices. This work introduces a novel paradigm: Joint LV localization and 3D orientation estimation from a single CMR slice. To investigate this setting, representative orientation-aware detection frameworks are adapted to the CMR domain, and their limitations are analyzed. Upon that, we propose the Polar-Coupled Circular (PCC) embedding that provides a continuous and unambiguous orientation representation to address the limitations. Meanwhile, a scalable benchmark is constructed through automatic slice sampling from volumetric CMR segmentation datasets. Extensive experiments on four datasets demonstrate strong performance, achieving an average mIoU of 86.18% and an average angle deviation of 3.39°. This study establishes a new task setting for single-slice LV orientation modeling and provides a geometry-consistent framework for spatially informed CMR analysis. Code is available at https://github.com/yuyi1005/cmr-3d-ood.
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