利用冰水模型评估深度学习重建对扩散加权成像质量和表观扩散系数的影响。

IF 1.7 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Radiological Physics and Technology Pub Date : 2024-03-01 Epub Date: 2023-12-28 DOI:10.1007/s12194-023-00765-8
Tatsuya Hayashi, Shinya Kojima, Toshimune Ito, Norio Hayashi, Hiroshi Kondo, Asako Yamamoto, Hiroshi Oba
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引用次数: 0

摘要

本研究利用冰水模型评估了深度学习重建(DLR)对扩散加权成像(DWI)质量和表观扩散系数(ADC)的影响。使用切片厚度为 1.5 和 3.0 毫米的 3 T 磁共振成像扫描仪,在不同 b 值(0、1000、2000 和 4000 s/mm2)下对具有已知扩散特性(0 °C 时真实 ADC = 1.1 × 10-3 mm2/s)的冰水模型进行成像。所有 DWI 均在有或没有 DLR 的情况下进行重建。使用 b 值 0 和 1000、0 和 2000 以及 0 和 4000 s/mm2 的组合生成 ADC 图。根据定量成像生物标记物联盟概况,计算了 DWI 的信噪比(SNR),并评估了 ADC 的准确度、精确度和受试者内参数方差(wCV)。DLR提高了b值在0到2000s/mm2之间的DWI的信噪比;但是,其效果在4000 s/mm2时有所减弱。使用或不使用 DLR 生成的图像的 ADC 没有明显差异。在切片厚度为 1.5 mm、综合 b 值为 0 和 4000 s/mm2 的情况下,使用和未使用 DLR 的 ADC 值分别为 0.97 × 10-3 和 0.98 × 10-3mm2/s,均低于真实 ADC 值。此外,DLR 还提高了 ADC 测量的精确度和 wCV。DLR 可以提高 ADC 测量的信噪比、可重复性和精确度,但并不能提高其精确度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of deep learning reconstruction on diffusion-weighted imaging quality and apparent diffusion coefficient using an ice-water phantom.

This study assessed the influence of deep learning reconstruction (DLR) on the quality of diffusion-weighted images (DWI) and apparent diffusion coefficient (ADC) using an ice-water phantom. An ice-water phantom with known diffusion properties (true ADC = 1.1 × 10-3 mm2/s at 0 °C) was imaged at various b-values (0, 1000, 2000, and 4000 s/mm2) using a 3 T magnetic resonance imaging scanner with slice thicknesses of 1.5 and 3.0 mm. All DWIs were reconstructed with or without DLR. ADC maps were generated using combinations of b-values 0 and 1000, 0 and 2000, and 0 and 4000 s/mm2. Based on the quantitative imaging biomarker alliance profile, the signal-to-noise ratio (SNRs) in DWIs was calculated, and the accuracy, precision, and within-subject parameter variance (wCV) of the ADCs were evaluated. DLR improved the SNR in DWIs with b-values ranging from 0 to 2000s/mm2; however, its effectiveness was diminished at 4000 s/mm2. There was no noticeable difference in the ADCs of images generated with or without implementing DLR. For a slice thickness of 1.5 mm and combined b-values of 0 and 4000 s/mm2, the ADC values were 0.97 × 10-3and 0.98 × 10-3mm2/s with and without DLR, respectively, both being lower than the true ADC value. Furthermore, DLR enhanced the precision and wCV of the ADC measurements. DLR can enhance the SNR, repeatability, and precision of ADC measurements; however, it does not improve their accuracies.

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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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