Impact of breathing signal-guided dose modulation on step-and-shoot 4D CT image reconstruction

IF 3.2 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Medical physics Pub Date : 2024-08-22 DOI:10.1002/mp.17360
Lukas Wimmert, Annette Schwarz, Tobias Gauer, Christian Hofmann, Jannis Dickmann, Thilo Sentker, Rene Werner
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A recently proposed breathing-guided dose modulation (DM) algorithm promises to lower the imaging dose by temporarily reducing the CT tube current, but the impact on image reconstruction and the resulting images have not been investigated.</p>\n </section>\n \n <section>\n \n <h3> Purpose</h3>\n \n <p>We evaluate the impact of breathing signal-guided DM on 4D CT image reconstruction and corresponding images.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This study is designed as a comparative and retrospective analysis based on 104 4D CT datasets. Each dataset underwent retrospective reconstruction twice: (a) utilizing the acquired clinical projection data for reconstruction, which yields reference image data, and (b) excluding projections acquired during potential DM phases from image reconstruction, resulting in DM-affected image data. Resulting images underwent automatic organ segmentation (lung/liver). (Dis)Similarity of reference and DM-affected images were quantified by the Dice coefficient of the entire organ masks and the organ overlaps within the DM-affected slices. Further, for lung cases, (a) and (b) were deformably registered and median magnitudes of the obtained displacement field were computed. Eventually, for 17 lung cases, gross tumor volumes (GTV) were recontoured on both (a) and (b). Target volume similarity was quantified by the Hausdorff distance.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>DM resulted in a median imaging dose reduction of 15.4% (interquartile range [IQR]: 11.3%–19.9%) for the present patient cohort. Dice coefficients for lung (<span></span><math>\n <semantics>\n <mrow>\n <mi>n</mi>\n <mo>=</mo>\n <mn>73</mn>\n </mrow>\n <annotation>$n=73$</annotation>\n </semantics></math>) and liver (<span></span><math>\n <semantics>\n <mrow>\n <mi>n</mi>\n <mo>=</mo>\n <mn>31</mn>\n </mrow>\n <annotation>$n=31$</annotation>\n </semantics></math>) patients were consistently high for both the entire organs and the DM-affected slices (IQR lung: <span></span><math>\n <semantics>\n <mrow>\n <mn>0.985</mn>\n <mo>/</mo>\n <mn>0.982</mn>\n </mrow>\n <annotation>$0.985/0.982$</annotation>\n </semantics></math> [entire lung/DM-affected slices only] to <span></span><math>\n <semantics>\n <mrow>\n <mn>0.992</mn>\n <mo>/</mo>\n <mn>0.989</mn>\n </mrow>\n <annotation>$0.992/0.989$</annotation>\n </semantics></math>; IQR liver: <span></span><math>\n <semantics>\n <mrow>\n <mn>0.977</mn>\n <mo>/</mo>\n <mn>0.972</mn>\n </mrow>\n <annotation>$0.977/0.972$</annotation>\n </semantics></math> to <span></span><math>\n <semantics>\n <mrow>\n <mn>0.986</mn>\n <mo>/</mo>\n <mn>0.986</mn>\n </mrow>\n <annotation>$0.986/0.986$</annotation>\n </semantics></math>), demonstrating that DM did not cause organ distortions or alterations. 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引用次数: 0

Abstract

Background

Breathing signal-guided 4D CT sequence scanning such as the intelligent 4D CT (i4DCT) approach reduces imaging artifacts compared to conventional 4D CT. By design, i4DCT captures entire breathing cycles during beam-on periods, leading to redundant projection data and increased radiation exposure to patients exhibiting prolonged exhalation phases. A recently proposed breathing-guided dose modulation (DM) algorithm promises to lower the imaging dose by temporarily reducing the CT tube current, but the impact on image reconstruction and the resulting images have not been investigated.

Purpose

We evaluate the impact of breathing signal-guided DM on 4D CT image reconstruction and corresponding images.

Methods

This study is designed as a comparative and retrospective analysis based on 104 4D CT datasets. Each dataset underwent retrospective reconstruction twice: (a) utilizing the acquired clinical projection data for reconstruction, which yields reference image data, and (b) excluding projections acquired during potential DM phases from image reconstruction, resulting in DM-affected image data. Resulting images underwent automatic organ segmentation (lung/liver). (Dis)Similarity of reference and DM-affected images were quantified by the Dice coefficient of the entire organ masks and the organ overlaps within the DM-affected slices. Further, for lung cases, (a) and (b) were deformably registered and median magnitudes of the obtained displacement field were computed. Eventually, for 17 lung cases, gross tumor volumes (GTV) were recontoured on both (a) and (b). Target volume similarity was quantified by the Hausdorff distance.

Results

DM resulted in a median imaging dose reduction of 15.4% (interquartile range [IQR]: 11.3%–19.9%) for the present patient cohort. Dice coefficients for lung ( n = 73 $n=73$ ) and liver ( n = 31 $n=31$ ) patients were consistently high for both the entire organs and the DM-affected slices (IQR lung: 0.985 / 0.982 $0.985/0.982$ [entire lung/DM-affected slices only] to 0.992 / 0.989 $0.992/0.989$ ; IQR liver: 0.977 / 0.972 $0.977/0.972$ to 0.986 / 0.986 $0.986/0.986$ ), demonstrating that DM did not cause organ distortions or alterations. Median displacements for DM-affected to reference image registration varied; however, only two out of 73 cases exhibited a median displacement larger than one isotropic 1 mm 3 ${\rm mm}^3$ voxel size. The impact on GTV definition for the end-exhalation phase was also minor (median Hausdorff distance: 0.38 mm, IQR: 0.15–0.46 mm).

Conclusion

This study demonstrates that breathing signal-guided DM has a minimal impact on image reconstruction and image appearance while improving patient safety by reducing dose exposure.

Abstract Image

呼吸信号引导剂量调制对步进式 4D CT 图像重建的影响。
背景:与传统四维 CT 相比,呼吸信号引导的四维 CT 序列扫描(如智能四维 CT(i4DCT)方法)可减少成像伪影。从设计上讲,i4DCT 可在束流开启期间捕捉整个呼吸周期,从而产生冗余投影数据,并增加了对呼气阶段较长的患者的辐射照射。最近提出的一种呼吸引导剂量调制(DM)算法有望通过暂时降低 CT 管电流来降低成像剂量,但其对图像重建和生成图像的影响尚未得到研究。目的:我们评估了呼吸信号引导 DM 对四维 CT 图像重建和相应图像的影响:本研究以 104 个四维 CT 数据集为基础进行比较和回顾性分析。每个数据集进行两次回顾性重建:(a)利用获得的临床投影数据进行重建,从而获得参考图像数据;(b)在图像重建中排除在潜在的 DM 阶段获得的投影,从而获得受 DM 影响的图像数据。结果图像经过自动器官分割(肺/肝)。(Dis)参考图像和受 DM 影响图像的相似性通过整个器官掩膜的 Dice 系数和受 DM 影响切片内的器官重叠进行量化。此外,对于肺部病例,(a)和(b)进行变形登记,并计算所获得位移场的中值大小。最后,对 17 个肺部病例的(a)和(b)进行了肿瘤总体积(GTV)重构。靶体积相似度通过豪斯多夫距离进行量化:在本组患者中,DM 使成像剂量减少了 15.4%(四分位数间距 [IQR]:11.3%-19.9%)。肺部(n = 73 $n=73$)和肝脏(n = 31 $n=31$)患者的骰子系数在整个器官和受 DM 影响的切片上都一直很高(IQR 肺部:0.985 / 0.982 $0.985/0.982$ [仅整个肺/受 DM 影响的切片] 至 0.992 / 0.989 $0.992/0.989$ ;IQR 肝:0.977 / 0.972 $0.977/0.972$ 至 0.986 / 0.986 $0.986/0.986$ ),表明 DM 不会导致器官扭曲或改变。受DM影响的图像与参考图像配准的中位位移各不相同;然而,73个病例中只有两个病例的中位位移大于一个各向同性的1 mm 3 ${\rm mm}^3$体素大小。对呼气末期 GTV 定义的影响也很小(中位数 Hausdorff 距离:0.38 mm,IQR:0.15-0.46 mm):本研究表明,呼吸信号引导的 DM 对图像重建和图像外观的影响很小,同时还能通过减少剂量暴露提高患者安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medical physics
Medical physics 医学-核医学
CiteScore
6.80
自引率
15.80%
发文量
660
审稿时长
1.7 months
期刊介绍: Medical Physics publishes original, high impact physics, imaging science, and engineering research that advances patient diagnosis and therapy through contributions in 1) Basic science developments with high potential for clinical translation 2) Clinical applications of cutting edge engineering and physics innovations 3) Broadly applicable and innovative clinical physics developments Medical Physics is a journal of global scope and reach. By publishing in Medical Physics your research will reach an international, multidisciplinary audience including practicing medical physicists as well as physics- and engineering based translational scientists. We work closely with authors of promising articles to improve their quality.
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