2024年12月18日 · Using synthetic nuclear medicine images, radiologists can determine whether a patient requires NMI as well as estimate the safe dose limit with minimal side-effects. NMI-based image synthesis can be used to find similarities between an individual patient’s data and diagnostic patterns observed in population group.

Nuclear medicine imaging (NMI) has been intensively explored as an advanced diagnostic imaging modality that involves the introduction of radionuclides into the body, detection of the emitted gamma rays and generation of images that offer details on the distribution of radionuclides and the physiological characterizations of organs and tissues.

2019年12月14日 · 归一化互信息（nmi）用于衡量图像融合结果与原始图像之间的相似度，数值范围为[0, 1]，越接近1表示图像融合效果越好；互信息（mi）用于度量两幅图像中的信息交叉程度，数值越大表示图像融合效果越好。

2023年7月1日 · We propose a semantic similarity metric for image registration, focusing on aligning image areas based on semantic correspondence instead. Our approach learns dataset-specific features that drive the optimization of a learning-based registration model.

2022年4月15日 · In view of multi-spectral transmission images registration, a multi-resolution image registration method combining the “Terrace Compression Method” and NMI is proposed in this paper. On the one hand, the MI registration algorithm based on gray-scale information can well adapt to the effects of blurred boundaries and poor contrast of ...

2019年5月23日 · Nonrigid registration of medical images is especially critical in clinical treatment. Mutual information is a popular similarity measure for medical image registration; however, only the intensity statistical characteristics of the global consistency of image are considered in MI, and the spatial information is ignored.

Compute Unified Device Architecture (CUDA) is a new technology of parallel computing with broad-ranging application on image processing, reconstruction, analysis, and much more. Above all, we proposed a new improvement CUDA based …

2018年10月11日 · We use an improved PCNN method to extract the NMI features of the image. For the problem of low accuracy of single feature, this paper proposes a new method of multi-feature fusion based on image retrieval.

The Nuclear Medicine Image (NMI) Profile specifies basic display capabilities that are required in nuclear medicine, and provides vendors information as to what features users expect in products that "work well" with nuclear medicine images.

Multimodal image image registration main functions such as mutual information (MI), histogram segmentation, rigid transformation, and RMSE Topics