An image-based metal artifact reduction technique utilizing forward projection in computed tomography.

IF 1.7 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Radiological Physics and Technology Pub Date : 2024-06-01 Epub Date: 2024-03-28 DOI:10.1007/s12194-024-00790-1
Katsuhiro Ichikawa, Hiroki Kawashima, Tadanori Takata
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引用次数: 0

Abstract

The projection data generated via the forward projection of a computed tomography (CT) image (FP-data) have useful potentials in cases where only image data are available. However, there is a question of whether the FP-data generated from an image severely corrupted by metal artifacts can be used for the metal artifact reduction (MAR). The aim of this study was to investigate the feasibility of a MAR technique using FP-data by comparing its performance with that of a conventional robust MAR using projection data normalization (NMARconv). The NMARconv was modified to make use of FP-data (FPNMAR). A graphics processing unit was used to reduce the time required to generate FP-data and subsequent processes. The performances of FPNMAR and NMARconv were quantitatively compared using a normalized artifact index (AIn) for two cases each of hip prosthesis and dental fillings. Several clinical CT images with metal artifacts were processed by FPNMAR. The AIn values of FPNMAR and NMARconv were not significantly different from each other, showing almost the same performance between these two techniques. For all the clinical cases tested, FPNMAR significantly reduced the metal artifacts; thereby, the images of the soft tissues and bones obscured by the artifacts were notably recovered. The computation time per image was ~ 56 ms. FPNMAR, which can be applied to CT images without accessing the projection data, exhibited almost the same performance as that of NMARconv, while consuming significantly shorter processing time. This capability testifies the potential of FPNMAR for wider use in clinical settings.

在计算机断层扫描中利用正投影技术减少基于图像的金属伪影。
在只有图像数据的情况下,通过计算机断层扫描(CT)图像正投影生成的投影数据(FP-数据)非常有用。然而,从被金属伪影严重破坏的图像中生成的 FP 数据能否用于金属伪影还原(MAR)是个问题。本研究的目的是通过比较使用 FP 数据的 MAR 技术与使用投影数据归一化的传统鲁棒 MAR(NMARconv)的性能,研究使用 FP 数据的 MAR 技术的可行性。对 NMARconv 进行了修改,以使用 FP 数据(FPNMAR)。使用图形处理单元减少了生成 FP 数据和后续处理所需的时间。使用归一化伪影指数(AIn)对 FPNMAR 和 NMARconv 的性能进行了定量比较,髋关节假体和牙科填充物各两例。FPNMAR 处理了几幅有金属伪影的临床 CT 图像。FPNMAR 和 NMARconv 的 AIn 值相差不大,表明这两种技术的性能几乎相同。在所有测试的临床病例中,FPNMAR 都能明显减少金属伪影,从而显著恢复被伪影遮挡的软组织和骨骼图像。每幅图像的计算时间约为 56 毫秒。FPNMAR 无需访问投影数据即可应用于 CT 图像,其性能与 NMARconv 几乎相同,但处理时间却大大缩短。这一性能证明了 FPNMAR 在临床环境中广泛应用的潜力。
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
Radiological Physics and Technology
Radiological Physics and Technology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
3.00
自引率
12.50%
发文量
40
期刊介绍: The purpose of the journal Radiological Physics and Technology is to provide a forum for sharing new knowledge related to research and development in radiological science and technology, including medical physics and radiological technology in diagnostic radiology, nuclear medicine, and radiation therapy among many other radiological disciplines, as well as to contribute to progress and improvement in medical practice and patient health care.
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