为了减少近红外漫射光内窥式成像设备的造价和图像重构时间，提出了有效探测区域检测方法和相应的内窥式图像重构算法，用于实现对吸收系数和约化散射系数的同时重构。首先采用蒙特卡罗模拟研究了某源点激励下的有效探测区域；其次发展了基于有效探测区域的图像重构算法；最后讨论了有效探测区域内测量点数对重构结果的影响，并用模拟数据验证了所发展的算法。结果表明：基于有效探测区域进行重构的算法具有较好的重构精度，吸收系数和约化散射系数的保真度分别可达60%和80%以上，目标尺度方位基本准确，且重构时间可减少一半。基于有效探测区域的检测方法和重构算法可用于对宫颈等管状器官的漫射成像。

To reduce the cost of near-infrared endoscopic image equipment and the reconstruction time, a measurement method based on the effective detection area is proposed and the corresponding algorithm which simultaneously reconstructs the absorption coefficient and the reduced scattering coefficient is developed. Firstly, the effective detection area corresponding to an irradiation point is investigated with the Monte Carlo simulation. Secondly, the image reconstruction algorithm based on the effective detection area is studied. Finally, the impact of the number of measured points in the effective detection area on the reconstructed results is discussed, and the developed algorithm is verified by the simulation data. The results show that the reconstructed algorithm based on the effective detection area has equivalent accuracy to the traditional ones. The fidelities of the reconstructed absorption and reduced scattering coefficient can be up to 60% and 80%, respectively. The scales and positions of the reconstruced lesions are both corresponding to the true values and the reconstruction time is reduced by a half. The detection using the effective detection area and the developed reconstruction algorithm will promote the development of diffuse optical tomography which is applied to cervical and other tubular organs.