Maier Joscha, Sawall Stefan, Kachelrieß Marc
Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany and Institute of Medical Physics, University of Erlangen-Nürnberg, 91052 Erlangen, Germany.
Med Phys. 2014 May;41(5):051908. doi: 10.1118/1.4870983.
Phase-correlated microcomputed tomography (micro-CT) imaging plays an important role in the assessment of mouse models of cardiovascular diseases and the determination of functional parameters as the left ventricular volume. As the current gold standard, the phase-correlated Feldkamp reconstruction (PCF), shows poor performance in case of low dose scans, more sophisticated reconstruction algorithms have been proposed to enable low-dose imaging. In this study, the authors focus on the McKinnon-Bates (MKB) algorithm, the low dose phase-correlated (LDPC) reconstruction, and the high-dimensional total variation minimization reconstruction (HDTV) and investigate their potential to accurately determine the left ventricular volume at different dose levels from 50 to 500 mGy. The results were verified in phantom studies of a five-dimensional (5D) mathematical mouse phantom.
Micro-CT data of eight mice, each administered with an x-ray dose of 500 mGy, were acquired, retrospectively gated for cardiac and respiratory motion and reconstructed using PCF, MKB, LDPC, and HDTV. Dose levels down to 50 mGy were simulated by using only a fraction of the projections. Contrast-to-noise ratio (CNR) was evaluated as a measure of image quality. Left ventricular volume was determined using different segmentation algorithms (Otsu, level sets, region growing). Forward projections of the 5D mouse phantom were performed to simulate a micro-CT scan. The simulated data were processed the same way as the real mouse data sets.
Compared to the conventional PCF reconstruction, the MKB, LDPC, and HDTV algorithm yield images of increased quality in terms of CNR. While the MKB reconstruction only provides small improvements, a significant increase of the CNR is observed in LDPC and HDTV reconstructions. The phantom studies demonstrate that left ventricular volumes can be determined accurately at 500 mGy. For lower dose levels which were simulated for real mouse data sets, the HDTV algorithm shows the best performance. At 50 mGy, the deviation from the reference obtained at 500 mGy were less than 4%. Also the LDPC algorithm provides reasonable results with deviation less than 10% at 50 mGy while PCF and MKB reconstruction show larger deviations even at higher dose levels.
LDPC and HDTV increase CNR and allow for quantitative evaluations even at dose levels as low as 50 mGy. The left ventricular volumes exemplarily illustrate that cardiac parameters can be accurately estimated at lowest dose levels if sophisticated algorithms are used. This allows to reduce dose by a factor of 10 compared to today's gold standard and opens new options for longitudinal studies of the heart.
相位相关微计算机断层扫描(micro-CT)成像在评估心血管疾病小鼠模型以及确定诸如左心室容积等功能参数方面发挥着重要作用。作为当前的金标准,相位相关费尔德坎普重建(PCF)在低剂量扫描情况下表现不佳,因此人们提出了更复杂的重建算法以实现低剂量成像。在本研究中,作者聚焦于麦金农 - 贝茨(MKB)算法、低剂量相位相关(LDPC)重建以及高维全变差最小化重建(HDTV),并研究它们在50至500毫戈瑞不同剂量水平下准确确定左心室容积的潜力。结果在一个五维(5D)数学小鼠模型的体模研究中得到验证。
采集了八只小鼠的micro-CT数据,每只小鼠接受500毫戈瑞的X射线剂量,对数据进行回顾性门控以校正心脏和呼吸运动,并使用PCF、MKB、LDPC和HDTV进行重建。通过仅使用部分投影来模拟低至50毫戈瑞的剂量水平。评估对比度噪声比(CNR)作为图像质量的度量。使用不同的分割算法(大津法、水平集、区域生长)确定左心室容积。对5D小鼠模型进行正投影以模拟micro-CT扫描。模拟数据的处理方式与真实小鼠数据集相同。
与传统的PCF重建相比,MKB、LDPC和HDTV算法在CNR方面产生了质量更高的图像。虽然MKB重建仅提供了微小的改进,但在LDPC和HDTV重建中观察到CNR有显著增加。体模研究表明,在500毫戈瑞时可以准确确定左心室容积。对于为真实小鼠数据集模拟的较低剂量水平,HDTV算法表现最佳。在50毫戈瑞时,与在500毫戈瑞获得的参考值的偏差小于4%。LDPC算法在50毫戈瑞时也提供了合理的结果,偏差小于10%,而PCF和MKB重建即使在较高剂量水平时也显示出较大的偏差。
LDPC和HDTV提高了CNR,甚至在低至50毫戈瑞的剂量水平下也允许进行定量评估。左心室容积示例性地说明,如果使用复杂算法,即使在最低剂量水平也可以准确估计心脏参数。这使得与当今的金标准相比剂量可降低10倍,并为心脏的纵向研究开辟了新的选择。