LINAC/Proton Beam Alignment Enhanced by Multimodal 
Tumor Imaging and Deep Learning

Yong Xiang

doi:10.70711/pmr.v2i6.7251

LINAC/Proton Beam Alignment Enhanced by Multimodal Tumor Imaging and Deep Learning

Yong Xiang

Abstract

With the development of tumor radiotherapy technology, the precision of LINAC (linear accelerator) and proton beam therapy has
become crucial. Multi modal tumor imaging technology integrates the advantages of different imaging modalities to provide comprehensive
information for tumors and their surrounding tissues; Deep learning, with its powerful feature extraction and analysis capabilities, has revolutionized the paradigm of medical image analysis. The combination of multimodal tumor imaging and deep learning for LINAC/proton beam
alignment can significantly improve the accuracy and adaptability of radiotherapy planning, optimize dose distribution, reduce normal tissue
radiation dose, and open up new paths for precision radiotherapy of tumors. It has important clinical application value and academic research
significance.

Keywords

Multimodal tumor imaging; Deep learning; LINAC/proton beam alignment

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DOI: http://dx.doi.org/10.70711/pmr.v2i6.7251

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