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评估病灶插入工具在骨盆 PET/MR 数据中的应用,以及对衰减校正方法开发的应用。

Assessment of lesion insertion tool in pelvis PET/MR data with applications to attenuation correction method development.

机构信息

Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA.

iSono Health Inc., South San Francisco, California, USA.

出版信息

J Appl Clin Med Phys. 2024 Nov;25(11):e14507. doi: 10.1002/acm2.14507. Epub 2024 Sep 4.

Abstract

BACKGROUND

In modern positron emission tomography (PET) with multi-modality imaging (e.g., PET/CT and PET/MR), the attenuation correction (AC) is the single largest correction factor for image reconstruction. One way to assess AC methods and other reconstruction parameters is to utilize software-based simulation tools, such as a lesion insertion tool. Extensive validation of these simulation tools is required to ensure results of the study are clinically meaningful.

PURPOSE

To evaluate different PET AC methods using a synthetic lesion insertion tool that simulates lesions in a patient cohort that has both PET/MR and PET/CT images. To further demonstrate how lesion insertion tool may be used to extend knowledge of PET reconstruction parameters, including but not limited to AC.

METHODS

Lesion quantitation is compared using conventional Dixon-based MR-based AC (MRAC) to that of using CT-based AC (CTAC, a "ground truth"). First, the pre-existing lesions were simulated in a similar environment; a total of 71 lesions were identified in 18 pelvic PET/MR patient images acquired with a time-of-flight simultaneous PET/MR scanner, and matched lesions were inserted contralaterally on the same axial slice. Second, synthetic lesions were inserted into four anatomic target locations in a cohort of four patients who didn't have any observed clinical lesions in the pelvis.

RESULTS

The matched lesion insertions resulted in unity between the lesion error ratios (mean SUVs), demonstrating that the inserted lesions successfully simulated the original lesions. In the second study, the inserted lesions had distinct characteristics by target locations and demonstrated negative max-SUV%diff trends for bone-dominant sites across the patient cohort.

CONCLUSIONS

The current work demonstrates that the applied lesion insertion tool can simulate uptake in pelvic lesions and their expected SUV values, and that the lesion insertion tool can be extended to evaluate further PET reconstruction corrections and algorithms and their impact on quantitation accuracy and precision.

摘要

背景

在现代正电子发射断层扫描(PET)多模态成像(例如,PET/CT 和 PET/MR)中,衰减校正(AC)是图像重建的最大校正因子之一。评估 AC 方法和其他重建参数的一种方法是使用基于软件的模拟工具,例如病变插入工具。需要对这些模拟工具进行广泛验证,以确保研究结果具有临床意义。

目的

使用模拟患者群体中病变的合成病变插入工具来评估不同的 PET AC 方法,该患者群体同时具有 PET/MR 和 PET/CT 图像。进一步展示病变插入工具如何用于扩展 PET 重建参数的知识,包括但不限于 AC。

方法

使用基于常规 Dixon 的基于 MR 的 AC(MRAC)与基于 CT 的 AC(CTAC,“真实值”)比较病变定量。首先,在类似的环境中模拟现有的病变;在使用飞行时间同步 PET/MR 扫描仪采集的 18 个骨盆 PET/MR 患者图像中总共识别出 71 个病变,并在同一轴位切片的对侧插入匹配的病变。其次,将合成病变插入到四个解剖目标位置,这些位置位于四个没有任何骨盆临床病变的患者中。

结果

匹配的病变插入导致病变误差比(平均 SUV)达到 1,这表明插入的病变成功模拟了原始病变。在第二项研究中,插入的病变根据目标位置具有明显的特征,并在整个患者队列中表现出骨优势部位的负最大 SUV%diff 趋势。

结论

目前的工作表明,所应用的病变插入工具可以模拟骨盆病变及其预期的 SUV 值,并且可以扩展病变插入工具以评估进一步的 PET 重建校正和算法及其对定量准确性和精度的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b83/11539964/9326233233d9/ACM2-25-e14507-g003.jpg

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