Volume 36, Issue 1

In optoacoustic tomography, negatively focused transducers may be used for improving the tangential image resolution while preserving a high signal-to-noise ratio. Commonly, image reconstruction in such scenarios is facilitated by the use of the virtual-detector approach. Although the validity of this approach has been experimentally verified, it is based on an approximation whose effect on optoac...

在光声断层成像中，负聚焦换能器可用于提高切向图像分辨率，同时保持高信噪比。通常，在这种情况下，图像重建通过使用虚拟探测器方法实现。尽管该方法的有效性已通过实验验证，但它基于一种近似，其对光声...

Predicting noise properties of iteratively reconstructed CT images is useful for analyzing reconstruction methods; for example, local noise power spectrum (NPS) predictions may be used to quantify the detectability of an image feature, to design regularization methods, or to determine dynamic tube current adjustment during a CT scan. This paper presents a method for fast prediction of reconstructe...

预测迭代重建CT图像的噪声特性有助于分析重建方法；例如，局部噪声功率谱（NPS）预测可用于量化图像特征的可检测性、设计正则化方法或确定CT扫描期间的动态管电流调整。本文提出了一种快速预测重建CT图像局部方差的方法，该方法基于局部二次正则化，适用于具有平移不变点扩散函数和二次正则化的迭代重建算法。

To develop a self-adaptive and fast thermometry method by combining the original hybrid magnetic resonance thermometry method and the bio heat transfer equation (BHTE) model. The proposed Kalman filtered Bio Heat Transfer Model Based Self-adaptive Hybrid Magnetic Resonance Thermometry, abbreviated as KalBHT hybrid method, introduced the BHTE model to synthesize a window on the regularization term ...

为了开发一种自适应且快速的测温方法，结合了原始混合磁共振测温法和生物热传递方程模型。提出的基于卡尔曼滤波生物热传递模型的自适应混合磁共振测温法（简称KalBHT混合方法）引入BHTE模型，在正则化项上合成一个窗口...

A maximum likelihood expectation maximization (MLEM) method is proposed for joint estimation of emission activity distribution and photon attenuation map from positron emission tomography (PET) emission data alone. The method is appealing since: (i) it guarantees monotonic likelihood increase to a local extremum, (ii) does not require arbitrary parameters, and (iii) guarantees the positivity of th...

提出了一种最大似然期望最大化（MLEM）方法，用于仅从正电子发射断层扫描（PET）发射数据中联合估计发射活动分布和光子衰减图。该方法的吸引力在于：（i）保证似然单调增加到局部极值，（ii）不需要任意参数，（iii）保证正定性...

We propose an algorithm for electrical source imaging of epileptic discharges that takes a data-driven approach to regularizing the dynamics of solutions. The method is based on linear system identification on short time segments, combined with a classical inverse solution approach. Whereas ensemble averaging of segments or epochs discards inter-segment variations by averaging across them, our app...

我们提出了一种用于癫痫放电的电生理源成像算法，该算法采用数据驱动的方法来正则化解的动态。该方法基于短时间段的线性系统识别，并结合了经典的逆求解方法。虽然对时间段或时期的整体平均通过平均而丢弃了段间变化，但我们的方法...

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