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首页> 外文期刊>Physics in medicine and biology. >An efficient strategy based on an individualized selection of registration methods. Application to the coregistration of MR and SPECT images in neuro-oncology
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An efficient strategy based on an individualized selection of registration methods. Application to the coregistration of MR and SPECT images in neuro-oncology

机译：基于注册方法的个性化选择的有效策略。在磁共振成像和SPECT图像融合中的应用

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摘要

An efficient registration strategy is described that aims to help solve delicate medical imaging registration problems. It consists of running several registration methods for each dataset and selecting the best one for each specific dataset, according to an evaluation criterion. Finally, the quality of the registration results, obtained with the best method, is visually scored by an expert as excellent, correct or poor. The strategy was applied to coregister Technetium-99m Sestamibi SPECT and MRI data in the framework of a follow-up protocol in patients with high grade gliomas receiving antiangiogenic therapy. To adapt the strategy to this clinical context, a robust semi-automatic evaluation criterion based on the physiological uptake of the Sestamibi tracer was defined. A panel of eighteen multimodal registration algorithms issued from BrainVisa, SPM or AIR software environments was systematically applied to the clinical database composed of sixty-two datasets. According to the expert visual validation, this new strategy provides 85% excellent registrations, 12% correct ones and only 3% poor ones. These results compare favorably to the ones obtained by the globally most efficient registration method over the whole database, for which only 61% of excellent registration results have been reported. Thus the registration strategy in its current implementation proves to be suitable for clinical application.
机译：描述了一种有效的注册策略，旨在帮助解决精密的医学成像注册问题。它包括为每个数据集运行几种注册方法，并根据评估标准为每个特定数据集选择最佳的注册方法。最后，专家用肉眼以最佳方法获得的配准结果的质量为优，正确或差。该策略适用于在接受抗血管生成治疗的高级别神经胶质瘤患者的随访方案框架内共同注册Technetium-99m Sestamibi SPECT和MRI数据。为了使该策略适应于这种临床情况，定义了基于塞斯塔比比示踪剂生理吸收的可靠的半自动评估标准。由BrainVisa，SPM或AIR软件环境发布的一组18种多模式注册算法被系统地应用于由62个数据集组成的临床数据库。根据专家的视觉验证，此新策略可提供85％的出色注册，12％的正确注册和3％的较差注册。这些结果优于通过全球最有效的注册方法在整个数据库中获得的结果，仅报告了优良注册结果的61％。因此，在当前实施中的注册策略被证明适合于临床应用。

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