A Multimodal Ultrasound-Driven Approach for Automated Tumor Assessment With B-Mode and Multi-Frequency Harmonic Motion Images.

ABSTRACT:

Objective

Harmonic Motion Imaging (HMI) is an ultrasound elasticity imaging method that measures the mechanical properties of tissue using amplitude-modulated acoustic radiation force (AM-ARF). Multi-frequency HMI (MF-HMI) excites tissue at various AM frequencies simultaneously, allowing for image optimization without prior knowledge of inclusion size and stiffness. However, challenges remain in size estimation as inconsistent boundary effects result in different perceived sizes across AM frequencies. Herein, we developed an automated assessment method for tumor and focused ultrasound surgery (FUS) induced lesions using a transformer-based multi-modality neural network, HMINet, and further automated neoadjuvant chemotherapy (NACT) response prediction. HMINet was trained on 380 pair

SUBMITTER: Hu S 

PROVIDER: S-EPMC12475938 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature