Development status of multimodal-fusion image-guided brachytherapy for cervical cancer / 中华放射医学与防护杂志

Cisplatin-based systemic chemotherapy combined with external beam radiation followed by intracavitary brachytherapy (ICBT) has become the standard treatment modality for locally advanced cervical cancer. Benefiting from the improvement in the imaging accuracy of medical imaging equipment and the development of image fusion technology, ICBT has developed into image-guided brachytherapy (IGBT) rather than the mode relying only on single image guidance. Factors such as the selection of a suitable image acquisition technology and the optimization of the multimodal imaging fusion strategy to reduce the dose deviation of IGBT are the key to the success of cervical cancer treatment. Radiotherapy practice is also plagued by these factors. Deep learning-based artificial intelligence technology has emerged in constructing intelligent radiotherapy platforms and solutions and has become an important means of solving the key problems in the multi-modal fusion IGBT for cervical cancer. Moreover, this technology is also a new way to improve the overall diagnosis and treatment level of cervical cancer, reduce the workload of physicians, and popularize the radiotherapy experience in grassroots organizations.

A review of multimodal neuroimaging fusion methods and their clinical applications to brain diseases / 国际生物医学工程杂志

With the rapid development of neuroimaging technology and related data processing methods, multimodal neuroimaging has been widely used in research fields such as neuroscience and clinical diseases. In this paper, the current development of multimodal neuroimaging fusion algorithm and its application in the diagnosis and treatment of brain diseases were reviewed. The definitions, applications, and advantages of the three levels of multimodal neuroimaging fusion, i.e. early fusion, late fusion, and intermediate fusion, were introduced and analyzed. The commonly used multi-modal neuroimaging algorithm basing on signal source separation method and deep multi-modal learning was introduced. The application of multimodal neuroimaging technology in the diagnosis and treatment of severe brain diseases such as schizophrenia and Alzheimer's disease was further discussed. Finally, the existing challenges and future research directions of multimodal neuroimaging methods and applications were summarized.

Intelligent analysis technique of medical imaging assisted accurate diagnosis and treatment for neurosurgery / 医疗卫生装备

The difficulties of clinical diagnosis and treatment in neurosurgery were introduced in brief.The application and important meaning of the deep learning technology, multimodal fusion technology and image guidance techniques in the diagnosis and treatment of neurosurgery were elaborated.In addition,the development and challenges of precise diagnosis and treatment in neurosurgery were discussed.It's pointed out continuous progress of intelligent analysis of medical images would help achieve accurate diagnosis and treatment for neurosurgery, thus reduce the occurrence of misdiagnosis and improve the success rate of operation. Furthermore, it would promote the intelligent development of clinical diagnosis and treatment in neurosurgery.