PMID- 34388098
OWN - NLM
STAT- MEDLINE
DCOM- 20220314
LR  - 20220314
IS  - 2168-2208 (Electronic)
IS  - 2168-2194 (Linking)
VI  - 26
IP  - 1
DP  - 2022 Jan
TI  - Acoustic Simulation for Transcranial Focused Ultrasound Using GAN-Based Synthetic 
      CT.
PG  - 161-171
LID - 10.1109/JBHI.2021.3103387 [doi]
AB  - Transcranial focused ultrasound (tFUS) is a promising non-invasive technique for 
      treating neurological and psychiatric disorders. One of the challenges for tFUS 
      is the disruption of wave propagation through the skull. Consequently, despite 
      the risks associated with exposure to ionizing radiation, computed tomography 
      (CT) is required to estimate the acoustic transmission through the skull. This 
      study aims to generate synthetic CT (sCT) from T1-weighted magnetic resonance 
      imaging (MRI) and investigate its applicability to tFUS acoustic simulation. We 
      trained a 3D conditional generative adversarial network (3D-cGAN) with 15 
      subjects. We then assessed image quality with 15 test subjects: mean absolute 
      error (MAE) = 85.72+/-9.50 HU (head) and 280.25+/-24.02 HU (skull), dice coefficient 
      similarity (DSC) = 0.88+/-0.02 (skull). In terms of skull density ratio (SDR) and 
      skull thickness (ST), no significant difference was found between sCT and real CT 
      (rCT). When the acoustic simulation results of rCT and sCT were compared, the 
      intracranial peak acoustic pressure ratio was found to be less than 4%, and the 
      distance between focal points less than 1 mm.
FAU - Koh, Heekyung
AU  - Koh H
FAU - Park, Tae Young
AU  - Park TY
FAU - Chung, Yong An
AU  - Chung YA
FAU - Lee, Jong-Hwan
AU  - Lee JH
FAU - Kim, Hyungmin
AU  - Kim H
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220117
PL  - United States
TA  - IEEE J Biomed Health Inform
JT  - IEEE journal of biomedical and health informatics
JID - 101604520
SB  - IM
MH  - Acoustics
MH  - Computer Simulation
MH  - Humans
MH  - *Magnetic Resonance Imaging/methods
MH  - Skull/diagnostic imaging
MH  - *Tomography, X-Ray Computed/methods
EDAT- 2021/08/14 06:00
MHDA- 2022/03/15 06:00
CRDT- 2021/08/13 17:14
PHST- 2021/08/14 06:00 [pubmed]
PHST- 2022/03/15 06:00 [medline]
PHST- 2021/08/13 17:14 [entrez]
AID - 10.1109/JBHI.2021.3103387 [doi]
PST - ppublish
SO  - IEEE J Biomed Health Inform. 2022 Jan;26(1):161-171. doi: 
      10.1109/JBHI.2021.3103387. Epub 2022 Jan 17.