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SUMMARY:AI-Enhanced Ring-Array Ultrasound Computed Tomography
DTSTART:20261002T090000Z
DTEND:20261002T100000Z
DTSTAMP:20261030T050400Z
UID:indico-event-5796@indico.kit.edu
CONTACT:timo.muscheid@kit.edu
DESCRIPTION:Speakers: Wu Qui\n\nWu Qui from Huazhong University of Science
  and Technology in China is visiting IPE. He will give a introduction to u
 ltrasound reconstruction techniques using full wave inversion and artifici
 al intelligence.\nUltrasound Computed Tomography (USCT) is an advanced qua
 ntitative imaging modality that reconstructs tissue acoustic parameters su
 ch as sound speed and attenuation via full-angle array wavefield acquisiti
 on. With radiation-free\, standardized and operator-independent imaging ca
 pabilities\, it shows prominent clinical value in soft-tissue evaluation\,
  especially for breast examination\, and has achieved commercial clinical 
 approval. However\, traditional USCT suffers from major drawbacks limiting
  its clinical promotion. Conventional full-waveform inversion relies on he
 avy iterative computation\, leading to low reconstruction speed. Moreover\
 , sampling sparsity and tissue scattering cause severe artifacts\, reducin
 g the accuracy of sound speed reconstruction and overall image quality. Ar
 tificial intelligence has effectively addressed these challenges in ring-a
 rray USCT. This talk focuses on key AI-driven improvements: generative AI 
 models greatly accelerate reflection image reconstruction to support real-
 time imaging\, while physics-informed neural networks substantially enhanc
 e the precision of sound speed map reconstruction. Beyond image optimizati
 on\, AI enables intelligent auxiliary diagnosis\, including automatic brea
 st tumor detection for lesion screening and automated muscle volume measur
 ement for standardized soft-tissue assessment. These AI strategies signifi
 cantly improve USCT practicability\, advancing its transition toward accur
 ate\, efficient and intelligent clinical imaging.\n \n\nhttps://indico.ki
 t.edu/event/5796/
LOCATION:Seminarraum EG + zoom (IPE)
URL:https://indico.kit.edu/event/5796/
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