Van Uytven Eric, Pistorius Stephen, Gordon Richard
Department of Physics and Astronomy, University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada.
Med Phys. 2007 Jan;34(1):256-65. doi: 10.1118/1.2400835.
X-ray film-screen mammography is currently the gold standard for detecting breast cancer. However, one disadvantage is that it projects a three-dimensional (3D) object onto a two-dimensional (2D) image, reducing contrast between small lesions and layers of normal tissue. Another limitation is its reduced sensitivity in women with mammographically dense breasts. Computed tomography (CT) produces a 3D image yet has had a limited role in mammography due to its relatively high dose, low resolution, and low contrast. As a first step towards implementing quantitative 3D mammography, which may improve the ability to detect and specify breast tumors, we have developed an analytical technique that can use Compton scatter to obtain 3D information of an object from a single projection. Imaging material with a pencil beam of polychromatic x rays produces a characteristic scattered photon spectrum at each point on the detector plane. A comparable distribution may be calculated using a known incident x-ray energy spectrum, beam shape, and an initial estimate of the object's 3D mass attenuation and electron density. Our iterative minimization algorithm changes the initially arbitrary electron density voxel matrix to reduce regular differences between the analytically predicted and experimentally measured spectra at each point on the detector plane. The simulated electron density converges to that of the object as the differences are minimized. The reconstruction algorithm has been validated using simulated data produced by the EGSnrc Monte Carlo code system. We applied the imaging algorithm to a cylindrically symmetric breast tissue phantom containing multiple inhomogeneities. A preliminary ROC analysis scores greater than 0.96, which indicate that under the described simplifying conditions, this approach shows promise in identifying and localizing inhomogeneities which simulate 0.5 mm calcifications with an image voxel resolution of 0.25 cm and at a dose comparable to mammography.
乳腺X线胶片-屏片摄影术目前是检测乳腺癌的金标准。然而,一个缺点是它将三维(3D)物体投影到二维(2D)图像上,降低了小病变与正常组织层之间的对比度。另一个局限性是其在乳腺钼靶密度高的女性中敏感性降低。计算机断层扫描(CT)可生成3D图像,但由于其剂量相对较高、分辨率低和对比度低,在乳腺摄影中的作用有限。作为实现定量3D乳腺摄影的第一步,这可能会提高检测和确定乳腺肿瘤的能力,我们开发了一种分析技术,该技术可以利用康普顿散射从单个投影中获取物体的3D信息。用多色X射线铅笔束成像材料在探测器平面上的每个点产生特征性散射光子谱。可以使用已知的入射X射线能谱、束形状以及物体3D质量衰减和电子密度的初始估计来计算可比分布。我们的迭代最小化算法改变最初任意的电子密度体素矩阵,以减少探测器平面上每个点的分析预测谱与实验测量谱之间的正则差异。随着差异最小化,模拟的电子密度收敛到物体的电子密度。该重建算法已使用EGSnrc蒙特卡罗代码系统生成的模拟数据进行了验证。我们将成像算法应用于包含多个不均匀性的圆柱对称乳腺组织模型。初步的ROC分析得分大于0.96,这表明在所描述的简化条件下,该方法在识别和定位模拟0.5毫米钙化的不均匀性方面显示出前景,图像体素分辨率为0.25厘米,剂量与乳腺摄影相当。