SCORE-BASED DIFFUSION MODELS FOR PHOTOACOUSTIC TOMOGRAPHY IMAGE RECONSTRUCTION

doi:doi:10.57702/ksf48a3i

SCORE-BASED DIFFUSION MODELS FOR PHOTOACOUSTIC TOMOGRAPHY IMAGE RECONSTRUCTION

Photoacoustic tomography (PAT) is a rapidly-evolving med-ical imaging modality that combines optical absorption contrast with ultrasound imaging depth. One challenge in PAT is image reconstruction with inadequate acoustic signals due to limited sensor coverage or due to the density of the transducer array.

BibTex:

@dataset{Sreemanti_Dey_and_Snigdha_Saha_and_Berthy_T_Feng_and_Manxiu_Cui_and_Laure_Delisle_and_Oscar_Leong_and_Lihong_V_Wang_and_Katherine_L_Bouman_2024,
    abstract = {Photoacoustic tomography (PAT) is a rapidly-evolving med-ical imaging modality that combines optical absorption contrast with ultrasound imaging depth. One challenge in PAT is image reconstruction with inadequate acoustic signals due to limited sensor coverage or due to the density of the transducer array.},
    author = {Sreemanti Dey and Snigdha Saha and Berthy T. Feng and Manxiu Cui and Laure Delisle and Oscar Leong and Lihong V. Wang and Katherine L. Bouman},
    doi = {10.57702/ksf48a3i},
    institution = {No Organization},
    keyword = {'diffusion models', 'image reconstruction', 'photoacoustic tomography'},
    month = {dec},
    publisher = {TIB},
    title = {SCORE-BASED DIFFUSION MODELS FOR PHOTOACOUSTIC TOMOGRAPHY IMAGE RECONSTRUCTION},
    url = {https://service.tib.eu/ldmservice/dataset/score-based-diffusion-models-for-photoacoustic-tomography-image-reconstruction},
    year = {2024}
}