用于光谱光子计数 CT 成像的新颖可靠的像素响应校正方法(DAC-Shifting)。

IF 2.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Tomography Pub Date : 2024-07-22 DOI:10.3390/tomography10070089
Navrit Johan Singh Bal, Imaiyan Chitra Ragupathy, Trine Tramm, Jasper Nijkamp
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引用次数: 0

摘要

光谱光子计数锥形束计算机断层扫描(CT)成像面临着单个像素响应行为的挑战,这会导致投影图像产生噪声和随后的图像伪影(如环)。现有的校正方法要么使用校准测量(如信号-厚度校准(STC)),要么对正弦曲线数据或扫描重建进行后处理环形伪影校正,而不明确考虑像素响应。在这里,我们提出了一种新颖的后处理方法(数模转换器(DAC)移位),该方法利用平场图像明确测量当前的像素响应,然后对投影数据进行校正。使用不同密度插入物和碘 K 边成像的重复系列幻影光谱光子计数成像(Medipix3)对 DAC 移位方法进行了评估。该方法还与基于聚甲基丙烯酸甲酯(PMMA)的 STC 进行了比较。结果表明,DAC 移位法能有效校正单个像素的响应,并能抵御探测器的不稳定性;在均质材料中,它能使 CT 数变化平均减少 47.4%,减少范围为 40.7-55.6%。相反,STC 校正显示出不同的结果;CT 数变化平均减少 13.7%,范围从增加 43.7% 到减少 45.5%。在 K 边成像中,DAC 移位提供了更清晰的衰减峰值和更均匀的 CT 值,预计这将有利于碘浓度的量化。
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A Novel and Reliable Pixel Response Correction Method (DAC-Shifting) for Spectral Photon-Counting CT Imaging.

Spectral photon-counting cone-beam computed tomography (CT) imaging is challenged by individual pixel response behaviours, which lead to noisy projection images and subsequent image artefacts like rings. Existing methods to correct for this either use calibration measurements, like signal-to-thickness calibration (STC), or perform a post-processing ring artefact correction of sinogram data or scan reconstructions without taking the pixel response explicitly into account. Here, we present a novel post-processing method (digital-to-analogue converter (DAC)-shifting) which explicitly measures the current pixel response using flat-field images and subsequently corrects the projection data. The DAC-shifting method was evaluated using a repeat series of the spectral photon-counting imaging (Medipix3) of a phantom with different density inserts and iodine K-edge imaging. The method was also compared against polymethyl methacrylate (PMMA)-based STC. The DAC-shifting method was shown to be effective in correcting individual pixel responses and was robust against detector instability; it led to a 47.4% average reduction in CT-number variation in homogeneous materials, with a range of 40.7-55.6%. On the contrary, the STC correction showed varying results; a 13.7% average reduction in CT-number variation, ranging from a 43.7% increase to a 45.5% reduction. In K-edge imaging, DAC-shifting provides a sharper attenuation peak and more uniform CT values, which are expected to benefit iodine concentration quantifications.

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来源期刊
Tomography
Tomography Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
2.70
自引率
10.50%
发文量
222
期刊介绍: TomographyTM publishes basic (technical and pre-clinical) and clinical scientific articles which involve the advancement of imaging technologies. Tomography encompasses studies that use single or multiple imaging modalities including for example CT, US, PET, SPECT, MR and hyperpolarization technologies, as well as optical modalities (i.e. bioluminescence, photoacoustic, endomicroscopy, fiber optic imaging and optical computed tomography) in basic sciences, engineering, preclinical and clinical medicine. Tomography also welcomes studies involving exploration and refinement of contrast mechanisms and image-derived metrics within and across modalities toward the development of novel imaging probes for image-based feedback and intervention. The use of imaging in biology and medicine provides unparalleled opportunities to noninvasively interrogate tissues to obtain real-time dynamic and quantitative information required for diagnosis and response to interventions and to follow evolving pathological conditions. As multi-modal studies and the complexities of imaging technologies themselves are ever increasing to provide advanced information to scientists and clinicians. Tomography provides a unique publication venue allowing investigators the opportunity to more precisely communicate integrated findings related to the diverse and heterogeneous features associated with underlying anatomical, physiological, functional, metabolic and molecular genetic activities of normal and diseased tissue. Thus Tomography publishes peer-reviewed articles which involve the broad use of imaging of any tissue and disease type including both preclinical and clinical investigations. In addition, hardware/software along with chemical and molecular probe advances are welcome as they are deemed to significantly contribute towards the long-term goal of improving the overall impact of imaging on scientific and clinical discovery.
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