Deep learning-based pseudo-CT synthesis from zero echo time MR sequences of the pelvis.

IF 4.1 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Insights into Imaging Pub Date : 2024-08-09 DOI:10.1186/s13244-024-01751-3

Jonas M Getzmann, Eva Deininger-Czermak, Savvas Melissanidis, Falko Ensle, Sandeep S Kaushik, Florian Wiesinger, Cristina Cozzini, Luca M Sconfienza, Roman Guggenberger

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Abstract

Objectives: To generate pseudo-CT (pCT) images of the pelvis from zero echo time (ZTE) MR sequences and compare them to conventional CT.

Methods: Ninety-one patients were prospectively scanned with CT and MRI including ZTE sequences of the pelvis. Eleven ZTE image volumes were excluded due to implants and severe B1 field inhomogeneity. Out of the 80 data sets, 60 were used to train and update a deep learning (DL) model for pCT image synthesis from ZTE sequences while the remaining 20 cases were selected as an evaluation cohort. CT and pCT images were assessed qualitatively and quantitatively by two readers.

Results: Mean pCT ratings of qualitative parameters were good to perfect (2-3 on a 4-point scale). Overall intermodality agreement between CT and pCT was good (ICC = 0.88 (95% CI: 0.85-0.90); p < 0.001) with excellent interreader agreements for pCT (ICC = 0.91 (95% CI: 0.88-0.93); p < 0.001). Most geometrical measurements did not show any significant difference between CT and pCT measurements (p > 0.05) with the exception of transverse pelvic diameter measurements and lateral center-edge angle measurements (p = 0.001 and p = 0.002, respectively). Image quality and tissue differentiation in CT and pCT were similar without significant differences between CT and pCT CNRs (all p > 0.05).

Conclusions: Using a DL-based algorithm, it is possible to synthesize pCT images of the pelvis from ZTE sequences. The pCT images showed high bone depiction quality and accurate geometrical measurements compared to conventional CT. CRITICAL RELEVANCE STATEMENT: pCT images generated from MR sequences allow for high accuracy in evaluating bone without the need for radiation exposure. Radiological applications are broad and include assessment of inflammatory and degenerative bone disease or preoperative planning studies.

Key points: pCT, based on DL-reconstructed ZTE MR images, may be comparable with true CT images. Overall, the intermodality agreement between CT and pCT was good with excellent interreader agreements for pCT. Geometrical measurements and tissue differentiation were similar in CT and pCT images.

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基于深度学习的骨盆零回波时间磁共振序列伪 CT 合成。

目的：利用零回波时间（ZTE）磁共振序列生成骨盆伪 CT 图像，并与传统 CT 进行比较：利用零回波时间（ZTE）磁共振序列生成骨盆伪 CT（pCT）图像，并与传统 CT 进行比较：对 91 名患者进行了包括骨盆 ZTE 序列在内的 CT 和 MRI 前瞻性扫描。由于植入物和严重的 B1 场不均匀性，有 11 幅 ZTE 图像被排除在外。在 80 个数据集中，60 个用于训练和更新深度学习（DL）模型，以便从 ZTE 序列合成 pCT 图像，其余 20 个病例被选为评估队列。由两名读者对 CT 和 pCT 图像进行定性和定量评估：pCT定性参数的平均评分为良好至完美（4分制，2-3分）。CT 和 pCT 的总体模态间一致性良好（ICC = 0.88 (95% CI: 0.85-0.90); p 0.05），但骨盆横向直径测量和外侧中心边缘角度测量除外（分别为 p = 0.001 和 p = 0.002）。CT 和 pCT 的图像质量和组织分化相似，CT 和 pCT CNR 之间无显著差异（所有 p > 0.05）：结论：使用基于 DL 的算法，可以从 ZTE 序列合成骨盆 pCT 图像。与传统 CT 相比，pCT 图像显示出较高的骨骼描绘质量和精确的几何测量。重要意义声明：由磁共振序列生成的 pCT 图像可在无需辐射照射的情况下对骨骼进行高精度评估。放射学应用广泛，包括评估炎症性和退行性骨病或术前规划研究。要点：基于 DL 重建的 ZTE MR 图像的 pCT 可与真正的 CT 图像相媲美。总体而言，CT 和 pCT 的模态间一致性良好，pCT 的阅片师间一致性极佳。CT 和 pCT 图像的几何测量和组织分化相似。

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来源期刊

Insights into Imaging Medicine-Radiology, Nuclear Medicine and Imaging

CiteScore

7.30

自引率

4.30%

发文量

182

审稿时长

13 weeks

期刊介绍： Insights into Imaging (I³) is a peer-reviewed open access journal published under the brand SpringerOpen. All content published in the journal is freely available online to anyone, anywhere! I³ continuously updates scientific knowledge and progress in best-practice standards in radiology through the publication of original articles and state-of-the-art reviews and opinions, along with recommendations and statements from the leading radiological societies in Europe. Founded by the European Society of Radiology (ESR), I³ creates a platform for educational material, guidelines and recommendations, and a forum for topics of controversy. A balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes I³ an indispensable source for current information in this field. I³ is owned by the ESR, however authors retain copyright to their article according to the Creative Commons Attribution License (see Copyright and License Agreement). All articles can be read, redistributed and reused for free, as long as the author of the original work is cited properly. The open access fees (article-processing charges) for this journal are kindly sponsored by ESR for all Members. The journal went open access in 2012, which means that all articles published since then are freely available online.