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SUMMARY:se-fis-med: Feasibility study of clinical target volume definition
  for soft-tissue sarcoma using diffusion tensor imaging
DTSTART;VALUE=DATE-TIME:20220411T140000Z
DTEND;VALUE=DATE-TIME:20220411T150000Z
DTSTAMP;VALUE=DATE-TIME:20260515T141320Z
UID:indico-event-6464@indico.ific.uv.es
DESCRIPTION:Medical Physics Seminar - Seminario de Física Médica\n\nTitl
 e: Feasibility study of clinical target volume definition for soft-tissue 
 sarcoma using diffusion tensor imaging\n\nAuthor: Nadya Shusharina\, PhD\n
 \nAffiliation: Massachusetts General Hospital.\n\nSummary: We explore usab
 ility of the diffusion tensor MRI (DT-MRI) for defining the boundary of th
 e clinical target volume in muscle tissue. Eight healthy volunteers were r
 ecruited to acquire MR images of the left and right thigh. The imaging ses
 sion consisted of (a) two high resolution anatomical MRI scans (spin-echo\
 , SE)\, T1- and T2-weighted\; (b) a diffusion weighted (DW) spin-echo-base
 d scan using an echo planar acquisition with fat suppression. The thigh m
 uscles were auto segmented using CNN. DT-MRI data was used as a geometry e
 ncoding input to solve the anisotropic Eikonal equation with Hamiltonian F
 ast-Marching method. The iso-levels of the solution modeled the CTV bounda
 ry. The auto-segmented muscles of the thigh agreed with manually delineate
 d with the Dice score ranging from 0.8 to 0.94 for different muscles. The 
 directional noise of the DT data as an angle of deviation from the average
  direction ranged from 31° to 40°. Anisotropy of the iso-levels was comp
 ared across muscles with different anatomical orientation within the thigh
 \, between muscles in left and right thighs of each subject and between mu
 scles of different subjects. Analysis showed a high degree of consistency 
 across all comparisons.\n\n \n\nOnline link: https://conectaha.csic.es/b/
 fer-gny-a0x-omp. The room access code will be sent per e-mail.\n\n \n\nht
 tps://indico.ific.uv.es/event/6464/
LOCATION:
URL:https://indico.ific.uv.es/event/6464/
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