VERDICT-AMICO: Ultrafast fitting algorithm for non-invasive prostate microstructure characterization.
VERDICT-AMICO: Ultrafast fitting algorithm for non-invasive prostate microstructure characterization.
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结论 - amico：非侵入性前列腺微结构表征的超快拟合算法。
DOI：
10.1002/nbm.4019
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发表时间：
2019-01
影响因子：
2.9
通讯作者：
Panagiotaki E
中科院分区：
文献类型：
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作者：
Bonet-Carne E;Johnston E;Daducci A;Jacobs JG;Freeman A;Atkinson D;Hawkes DJ;Punwani S;Alexander DC;Panagiotaki E
VERDICT（用于肿瘤细胞术的血管、细胞外和限制扩散）利用扩散MRI无创地估计和绘制癌组织的显微结构特征。本研究的主要目的是解决前列腺诊断显微结构模型拟合的高计算时间，同时保留肿瘤显著性和可重复性方面的效用。在这项工作中，我们通过凸优化（AMICO）框架采用加速微结构成像来线性化前列腺的VERDICT参数估计。我们比较了8例患者的原始非线性拟合与线性拟合，量化准确性与合成数据，计算时间和可靠性（性能和精度）。我们还评估了参数的可重复性（扫描-重新扫描）。原始的VERDICT拟合与VERDICT - AMICO的比较表明，当信噪比为20 dB时，线性化拟合(1)在模拟中更为准确；(2)将处理时间从6.55秒/体素降低到1.78毫秒/体素，缩短了3个数量级；(3)更精确地估计参数；(4)产生类似的参数图，(5)产生类似的估计参数，在实现之间具有较高的Pearson相关性，r 2 bb0 0.7。VERDICT - AMICO估计也显示出高水平的可重复性。最后，我们证明了VERDICT‐AMICO可以在不损失肿瘤显著性的情况下估计额外的扩散系数参数，并保留拟合优势。结论- AMICO在几秒钟内提供前列腺癌表征的显微结构图。
VERDICT (vascular, extracellular and restricted diffusion for cytometry in tumours) estimates and maps microstructural features of cancerous tissue non‐invasively using diffusion MRI. The main purpose of this study is to address the high computational time of microstructural model fitting for prostate diagnosis, while retaining utility in terms of tumour conspicuity and repeatability. In this work, we adapt the accelerated microstructure imaging via convex optimization (AMICO) framework to linearize the estimation of VERDICT parameters for the prostate gland. We compare the original non‐linear fitting of VERDICT with the linear fitting, quantifying accuracy with synthetic data, and computational time and reliability (performance and precision) in eight patients. We also assess the repeatability (scan‐rescan) of the parameters. Comparison of the original VERDICT fitting versus VERDICT‐AMICO showed that the linearized fitting (1) is more accurate in simulation for a signal‐to‐noise ratio of 20 dB; (2) reduces the processing time by three orders of magnitude, from 6.55 seconds/voxel to 1.78 milliseconds/voxel; (3) estimates parameters more precisely; (4) produces similar parametric maps and (5) produces similar estimated parameters with a high Pearson correlation between implementations, r 2 > 0.7. The VERDICT‐AMICO estimates also show high levels of repeatability. Finally, we demonstrate that VERDICT‐AMICO can estimate an extra diffusivity parameter without losing tumour conspicuity and retains the fitting advantages. VERDICT‐AMICO provides microstructural maps for prostate cancer characterization in seconds.
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影响因子：
4.7
作者：
Bourne RM;Bailey C;Johnston EW;Pye H;Heavey S;Whitaker H;Siow B;Freeman A;Shaw GL;Sridhar A;Mertzanidou T;Hawkes DJ;Alexander DC;Punwani S;Panagiotaki E
通讯作者：
Panagiotaki E
影响因子：
5.7
作者：
Daducci, Alessandro;Canales-Rodriguez, Erick J.;Thiran, Jean-Philippe
通讯作者：
Thiran, Jean-Philippe
影响因子：
5
作者：
Gupta, Rajan T.;Kauffman, Christopher R.;Rosenkrantz, Andrew B.
通讯作者：
Rosenkrantz, Andrew B.
影响因子：
3.3
作者：
Dikaios, Nikolaos;Punwani, Shonit;Atkinson, David
通讯作者：
Atkinson, David
DOI：
10.1102/1470-7330.2010.9032
发表时间：
2010-10-04
期刊：
Cancer imaging : the official publication of the International Cancer Imaging Society
影响因子：
--
作者：
Afaq A;Andreou A;Koh DM
通讯作者：
Koh DM