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SUMMARY:Image Reconstruction of Protoacoustic Signals
DTSTART;VALUE=DATE-TIME:20191021T140000Z
DTEND;VALUE=DATE-TIME:20191021T142000Z
DTSTAMP;VALUE=DATE-TIME:20260424T101206Z
UID:indico-contribution-11637@indico.ific.uv.es
DESCRIPTION:Speakers: Clara Freijo (UCM)\nProton-range verification is an 
 important challenge in proton radiotherapy. Many methods have been propose
 d to reduce the uncertainty in the localization of the deposited dose with
  these treatments. The radio-induced thermoacoustic effect (i.e. the conve
 rsion of some of the deposited energy in a tissue into acoustic waves) can
  be used to measure the penetration depth of the proton beams in real-time
 . This method has significant advantages compared to other alternatives\, 
 as it requires a low-cost and small equipment\, but it is challenging due 
 to the intrinsic low signal-to-noise ratio (SNR) of the measured data and 
 the complex propagation of the acoustic waves in heterogeneous media. In t
 his work\, we present several algorithms and regularization methods for pr
 otoacoustic image reconstruction\, and evaluated which one is able to prov
 ide better image quality with very noisy data. We used simulated data of t
 he deposited dose of a proton beam in a water tank\, converted into an ini
 tial pressure-wave using the dose-acoustic equation\, and then propagated 
 the acoustic wave in the medium using the software k-Wave. We finally adde
 d zero-mean Gaussian noise to the resulting signal recorded by a transduce
 r placed in the beam direction. Our results indicate that even with noisy 
 data\, both the gradient-descent and a adapted version of the MLEM algorit
 hm\, commonly used in other medical imaging techniques such as Positron Em
 ission Tomography\, can be used to successfully reconstruct the dose distr
 ibution. These promising results have to be validated with real data acqui
 red in a proton-beam facility.\n\nhttps://indico.ific.uv.es/event/3780/con
 tributions/11637/
LOCATION:
URL:https://indico.ific.uv.es/event/3780/contributions/11637/
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