Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.
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DOI：
10.1016/j.media.2021.102271
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发表时间：
2022-03
影响因子：
10.9
通讯作者：
Elhabian SY
中科院分区：
文献类型：
--
作者：
Goparaju A;Iyer K;Bône A;Hu N;Henninger HB;Anderson AE;Durrleman S;Jacxsens M;Morris A;Csecs I;Marrouche N;Elhabian SY
统计形状模型（SSM）作为新一代解剖形状定量分析的形态测量方法，广泛应用于生物学和医学领域。体内成像的技术进步促进了开源计算工具的发展，这些工具可以自动建模解剖形状及其群体水平的变异性。然而，在依赖形态定量的临床应用中，对此类工具的评估和验证工作还很少。在这里，我们系统地评估了广泛使用的最先进的 SSM 工具（即 ShapeWorks、Deformetrica 和 SPHARM-PDM）的结果。我们使用定量和定性指标来评估来自不同工具的形状模型。我们提出了用于解剖标志/测量推断和病变筛查的验证框架。我们还提出了一种病变筛查方法，可以客观地表征相对于对照群体水平统计数据的细微异常形状变化。结果表明，SSM 工具显示出不同级别的一致性，其中，由于采用分组方法估计表面对应关系，因此与 SPHARM-PDM 的模型相比，ShapeWorks 和 Deformetrica 模型更加一致。此外，与 SPHARM-PDM 模型相比，ShapeWorks 和 Deformetrica 形状模型可以捕获临床相关的群体水平变异性。
Statistical shape modeling (SSM) is widely used in biology and medicine as a new generation of morphometric approaches for the quantitative analysis of anatomical shapes. Technological advancements of in vivo imaging have led to the development of open-source computational tools that automate the modeling of anatomical shapes and their population-level variability. However, little work has been done on the evaluation and validation of such tools in clinical applications that rely on morphometric quantifications. Here, we systematically assess the outcome of widely used, state-of-the-art SSM tools, namely ShapeWorks, Deformetrica, and SPHARM-PDM. We use both quantitative and qualitative metrics to evaluate shape models from different tools. We propose validation frameworks for anatomical landmark/measurement inference and lesion screening. We also present a lesion screening method to objectively characterize subtle abnormal shape changes with respect to learned population-level statistics of controls. Results demonstrate that SSM tools display different levels of consistencies, where ShapeWorks and Deformetrica models are more consistent compared to models from SPHARM-PDM due to the groupwise approach of estimating surface correspondences. Furthermore, ShapeWorks and Deformetrica shape models are found to capture clinically relevant population-level variability compared to SPHARM-PDM models.
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DOI：
10.1007/978-3-642-02498-6_54
发表时间：
2009
期刊：
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
影响因子：
--
作者：
Oguz, Ipek;Niethammer, Marc;Cates, Josh;Whitaker, Ross;Fletcher, Thomas;Vachet, Clement;Styner, Martin
通讯作者：
Styner, Martin
影响因子：
10.9
作者：
Albrecht, Thomas;Luethi, Marcel;Vetter, Thomas
通讯作者：
Vetter, Thomas
DOI：
10.1002/jor.23468
发表时间：
2017-08
期刊：
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
影响因子：
--
作者：
Atkins PR;Elhabian SY;Agrawal P;Harris MD;Whitaker RT;Weiss JA;Peters CL;Anderson AE
通讯作者：
Anderson AE
影响因子：
4.8
作者：
Goebel, R;Esposito, F;Formisano, E
通讯作者：
Formisano, E
影响因子：
3
作者：
De Wilde, Lieven F.;Verstraeten, T.;Karelse, A.
通讯作者：
Karelse, A.