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Dual-energy cone-beam CT with a flat-panel detector: Effect of reconstruction algorithm on material classification

机译:带平板探测器的双能锥束CT:重建算法对材料分类的影响

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摘要

>Purpose: Cone-beam CT (CBCT) with a flat-panel detector (FPD) is finding application in areas such as breast and musculoskeletal imaging, where dual-energy (DE) capabilities offer potential benefit. The authors investigate the accuracy of material classification in DE CBCT using filtered backprojection (FBP) and penalized likelihood (PL) reconstruction and optimize contrast-enhanced DE CBCT of the joints as a function of dose, material concentration, and detail size.>Methods: Phantoms consisting of a 15 cm diameter water cylinder with solid calcium inserts (50–200 mg/ml, 3–28.4 mm diameter) and solid iodine inserts (2–10 mg/ml, 3–28.4 mm diameter), as well as a cadaveric knee with intra-articular injection of iodine were imaged on a CBCT bench with a Varian 4343 FPD. The low energy (LE) beam was 70 kVp (+0.2 mm Cu), and the high energy (HE) beam was 120 kVp (+0.2 mm Cu, +0.5 mm Ag). Total dose (LE+HE) was varied from 3.1 to 15.6 mGy with equal dose allocation. Image-based DE classification involved a nearest distance classifier in the space of LE versus HE attenuation values. Recognizing the differences in noise between LE and HE beams, the LE and HE data were differentially filtered (in FBP) or regularized (in PL). Both a quadratic (PLQ) and a total-variation penalty (PLTV) were investigated for PL. The performance of DE CBCT material discrimination was quantified in terms of voxelwise specificity, sensitivity, and accuracy.>Results: Noise in the HE image was primarily responsible for classification errors within the contrast inserts, whereas noise in the LE image mainly influenced classification in the surrounding water. For inserts of diameter 28.4 mm, DE CBCT reconstructions were optimized to maximize the total combined accuracy across the range of calcium and iodine concentrations, yielding values of ∼88% for FBP and PLQ, and ∼95% for PLTV at 3.1 mGy total dose, increasing to ∼95% for FBP and PLQ, and ∼98% for PLTV at 15.6 mGy total dose. For a fixed iodine concentration of 5 mg/ml and reconstructions maximizing overall accuracy across the range of insert diameters, the minimum diameter classified with accuracy >80% was ∼15 mm for FBP and PLQ and ∼10 mm for PLTV, improving to ∼7 mm for FBP and PLQ and ∼3 mm for PLTV at 15.6 mGy. The results indicate similar performance for FBP and PLQ and showed improved classification accuracy with edge-preserving PLTV. A slight preference for increased smoothing of the HE data was found. DE CBCT discrimination of iodine and bone in the knee was demonstrated with FBP and PLTV at 6.2 mGy total dose.>Conclusions: For iodine concentrations >5 mg/ml and detail size ∼20 mm, material classification accuracy of >90% was achieved in DE CBCT with both FBP and PL at total doses <10 mGy. Optimal performance was attained by selection of reconstruction parameters based on the differences in noise between HE and LE data, typically favoring stronger smoothing of the HE data, and by using penalties matched to the imaging task (e.g., edge-preserving PLTV in areas of uniform enhancement).
机译:>目的:带有平板探测器(FPD)的锥形束CT(CBCT)正在乳腺和肌肉骨骼成像等领域中得到应用,在该领域中,双能(DE)功能可以带来潜在的好处。作者研究了使用滤波反投影(FBP)和惩罚似然(PL)重建的DE CBCT中材料分类的准确性,并根据剂量,材料浓度和细节大小来优化关节的对比度增强DE CBCT。>方法:幻像由直径15厘米的水瓶组成,带有固体钙插入物(50–200 mg / ml,直径3–28.4 mm)和固体碘插入物(2–10 mg / ml,直径3–28.4 mm) ),以及在关节腔内注射碘的尸体膝盖在带有Varian 4343 FPD的CBCT工作台上成像。低能(LE)光束为70 kVp(+0.2 mm Cu),高能(HE)光束为120 kVp(+0.2 mm Cu,+0.5 mm Ag)。总剂量(LE + HE)在3.1到15.6 mGy之间变化,并且分配了相等的剂量。基于图像的DE分类涉及LE与HE衰减值空间中的最近距离分类器。认识到LE和HE光束之间噪声的差异,对LE和HE数据进行了差分滤波(在FBP中)或正则化(在PL中)。对PL进行了二次方(PLQ)和总方差惩罚(PLTV)。 DE CBCT材料判别的性能通过体素特异性,灵敏度和准确性进行量化。>结果: HE图像中的噪声主要是造影剂插入物中的分类错误,而LE中的噪声图像主要影响周围水域的分类。对于直径28.4 mm的刀片,优化了DE CBCT重建,以最大程度地提高钙和碘浓度范围内的总组合精度,在总剂量为3.1 mGy时,FBP和PLQ的产率约为88%,PLTV的产率约为95%,在总剂量为15.6 mGy时,FBP和PLQ增至约95%,而PLTV增至约98%。对于固定的5 mg / ml碘浓度,并进行重构以最大程度地提高刀片直径范围内的总体精度,对于FBP和PLQ,分类为> 80%的最小直径为〜15 mm,对于PLTV为〜10 mm,提高到〜7 FBP和PLQ为1mm,PLTV为35.6 mmGy。结果表明FBP和PLQ具有相似的性能,并显示了保留边缘的PLTV改善了分类精度。发现稍微偏爱增加HE数据的平滑度。用FBP和PLTV以总剂量6.2 mGy证实DE CBCT对膝部碘和骨的区分。>结论:对于碘浓度> 5 mg / ml和详细尺寸约为20 mm的材料,分类精度为在DE CBCT中,FBP和PL的总剂量<10 mGy均达到> 90%。通过根据HE和LE数据之间的噪声差异选择重构参数(通常有利于HE数据的更平滑)以及使用与成像任务相匹配的惩罚(例如,在均匀区域中保留边缘的PLTV)来获得最佳性能增强)。

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