Acknowledgement
본 연구는 2023년도 산업통산자원부 및 산업기술평가관리원(KEIT) 연구비 지원에 의한 연구임(20014214). 또한, 정부(과학기술정보통신부, 산업통상자원부, 보건복지부, 식품의약품안전처)의 재원으로 범부처전주기의료기기연구개발사업단의 지원을 받아 수행된 연구임(2023010051, RS-2022-00141185).
References
- R. Guo, G. Lu, B. Qin, and B. Fei, "Ultrasound imaging technologies for breast cancer detection and management: A review," Ultrasound Med. Biol. 44, 37-70 (2018). https://doi.org/10.1016/j.ultrasmedbio.2017.09.012
- S.-F. Huang, R.-F. Chang, W. K. Moon, Y.-H. Lee, D.-R. Chen, and J. S. Suri, "Analysis of tumor vascularity using three-dimensional power Doppler ultrasound images," IEEE Trans. Med. Imaging, 27, 320-330 (2008). https://doi.org/10.1109/TMI.2007.904665
- R. Y. Chiao and X. Hao, "Coded excitation for diagnostic ultrasound: a system developer's perspective," IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 52, 160-170 (2005). https://doi.org/10.1109/TUFFC.2005.1406543
- M. Freesmeyer, S. Wiegand, J.-H. Schierz, T. Winkens, and K. Licht, "Multimodal evaluation of 2-D and 3-D ultrasound, computed tomography and magnetic resonance imaging in measurements of the thyroid volume using universally applicable cross-sectional imaging software: a phantom study," Ultrasound Med. Biol. 40, 1453-1462 (2014). https://doi.org/10.1016/j.ultrasmedbio.2014.02.013
- F. Paparo, R. Piccazzo, L. Cevasco, A. Piccardo, F. Pinna, F. Belli, L. Bacigalupo, E. Biscaldi, G. De Caro, and G. A. Rollandi, "Advantages of percutaneous abdominal biopsy under PET-CT/ultrasound fusion imaging guidance: a pictorial essay," Abdom. Imaging, 39, 1102-1113 (2014). https://doi.org/10.1007/s00261-014-0143-8
- F. Lindseth, J. H. Kaspersen, S. Ommedal, T. Lango, J. Bang, J. Hokland, G. Unsgaard, and T. A. N. Hernes, "Multimodal image fusion in ultrasound-based neuronavigation: improving overview and interpretation by integrating preoperative MRI with intraoperative 3D ultrasound," Comput. Aided Surg. 8, 49-69 (2003). https://doi.org/10.3109/10929080309146040
- F. Hasford, J. Amuasi, A. Kyere, and M. Vangu," Ultrasound and PET-CT image fusion for prostate brachytherapy image guidance," IAEA-CN-232, 47, 20-21 (2015).
- J. M. Schmitt, "Optical coherence tomography (OCT): A review," IEEE J. Sel. Topics. Quant. Electro. 5, 1205-1215 (1999). https://doi.org/10.1109/2944.796348
- J. Yin, H. C. Yang, X. Li, J. Zhang, Q. Zhou, C. Hu, K. K. Shung, and Z. Chen, "Integrated intravascular optical coherence tomography ultrasound imaging system," J. Biomed. Opt. 15, 010512 (2010).
- S. Liang, T. Ma, J. Jing, X. Li, J. Li, K. K. Shung, Q. Zhou, J. Zhang, and Z. Chen, "Trimodality imaging system and intravascular endoscopic probe: combined optical coherence tomography, fluorescence imaging and ultrasound imaging," Opt. Lett. 39, 6652-6655 (2014). https://doi.org/10.1364/OL.39.006652
- A. F. Kukk, D. Wu, E. Gaffal, R. Panzer, S. Emmert, and B. Roth, "Multimodal system for optical biopsy of melanoma with integrated ultrasound, optical coherence tomography and Raman spectroscopy," J. Biophotonics, 15, e202200129 (2022). https://doi.org/10.35272/JAET.2022.15.2.65
- H. Kang, X. Qian, R. Chen, R. Wodnicki, Y. Sun, R. Li, Y. Li, K. K. Shung, Z. Chen, and Q. Zhou, "2-D ultrasonic array-based optical coherence elastography," IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 68, 1096-1104 (2020). https://doi.org/10.1109/TUFFC.2020.3033304
- M. Xu and L. V. Wang, "Photoacoustic imaging in biomedicine," Rev. Sci. Instrum. 77, 041101 (2006).
- C. Kim, C. Favazza, and L. V. Wang, "In vivo photoacoustic tomography of chemicals: high-resolution functional and molecular optical imaging at new depths," Chem. Rev. 110, 2756-2782 (2010). https://doi.org/10.1021/cr900266s
- Y. Yang, X. Li, T. Wang, P. D. Kumavor, A. Aguirre, K. K. Shung, Q. Zhou, M. Sanders, M. Brewer, and Q. Zhu, "Integrated optical coherence tomography, ultrasound and photoacoustic imaging for ovarian tissue characterization," Biomed. Opt. Express, 2, 2551-2561 (2011). https://doi.org/10.1364/BOE.2.002551
- W. Wei, X. Li, Q. Zhou, K. K. Shung, and Z. Chen, "Integrated ultrasound and photoacoustic probe for co-registered intravascular imaging," J. Biomed. Opt. 16, 106001 (2011).
- J.-M. Yang, C. Favazza, R. Chen, J. Yao, X. Cai, K. Maslov, Q. Zhou, K.K. Shung, and L. V. Wang, "Simultaneous functional photoacoustic and ultrasonic endoscopy of internal organs in vivo," Nat. Med. 18, 1297-1302 (2012). https://doi.org/10.1038/nm.2823
- Z. Wang, F . Yang, H. Ma, Z. Cheng, and S. Yang, "Photoacoustic and ultrasound (PAUS) dermoscope with high sensitivity and penetration depth by using a bimorph transducer," J. Biophotonics, 13, e202000145 (2020).
- S. Park, S. Kang, and J. H. Chang, "Optically transparent focused transducers for combined photoacoustic and ultrasound microscopy," J. Med. Biol. Eng. 40, 707-718 (2020). https://doi.org/10.1007/s40846-020-00536-5
- H. Chen, S. Agrawal, M. Osman, J. Minotto, S. Mirg, J. Liu, A. Dangi, Q. Tran, T. Jackson, and S.-R. Kothapalli, "A transparent ultrasound array for real-time optical, ultrasound, and photoacoustic imaging," BME Frontiers, 2022 1-14 (2022). https://doi.org/10.34133/2022/9871098
- A. R. Valimukhametova, O. S. Zub, B. H. Lee, O. Fannon, S. Nguyen, R. Gonzalez-Rodriguez, G. R. Akkaraju, and A.V. Naumov, "Dual-mode fluorescence/ultrasound imaging with biocompatible metal-doped graphene quantum dots," ACS Biomater. Sci Eng. 8, 4965-4975 (2022). https://doi.org/10.1021/acsbiomaterials.2c00794
- T. Yao, S. Yu, Y. Liu, and B. Yuan, "In vivo ultrasound-switchable fluorescence imaging," Sci. Rep. 9, 9855 (2019).
- C. S. Snyder, S. Kaushal, Y. Kono, H. S. Tran Cao, R. M. Hoffman, and M. Bouvet, "Complementarity of ultrasound and fluorescence imaging in an orthotopic mouse model of pancreatic cancer," BMC Cancer, 9, 106-115 (2009). https://doi.org/10.1186/1471-2407-9-106
- H. Estrada, J. Robin, A. Ozbek, Z. Chen, A. Marowsky, Q. Zhou, D. Beck, B. le Roy, M. Arand, S. Shoham, and D. Razansky, "High-resolution fluorescence-guided transcranial ultrasound mapping in the live mouse brain," Sci. Adv. 7, eabi5464 (2021).
- P. Rauschendorfer, G. Wissmeyer, F. A. Jaffer, D. Gorpas, and V. Ntziachristos, "Accounting for blood attenuation in intravascular near-infrared fluorescence-ultrasound imaging using a fluorophore-coated guidewire," J. Biomed. Opt. 28, 046001 (2023).
- H. Kim, S. Youn, J. Kim, S. Park, M. Lee, J. Y. Hwang, and J. H. Chang, "Deep laser microscopy using optical clearing by ultrasound-induced gas bubbles," Nat. Phot. 16, 762-768 (2022). https://doi.org/10.1038/s41566-022-01068-x
- D. Gorpas, H. Fatakdawala, J. Bec, D. Ma, D. R. Yankelevich, J. Qi, and L. Marcu, "Fluorescence lifetime imaging and intravascular ultrasound: co-registration study using ex vivo human coronaries," IEEE Trans. Med. Imaging, 34, 156-166 (2015). https://doi.org/10.1109/TMI.2014.2350491
- D. Ma, J. Bec, D. R. Yankelevich, D. Gorpas, H. Fatakdawala, and L. Marcu, "Rotational multispectral fluorescence lifetime imaging and intravascular ultrasound: bimodal system for intravascular applications," J. Biomed. Opt. 19, 066004 (2014).
- H. Fatakdawala, S. Poti, F. Zhou, Y. Sun, J. Bec, J. Liu, D. R. Yankelevich, S. P. Tinling, R. F. Gandour-Edwards, D. G. Farwell, and L. Marcu, "Multimodal in vivo imaging of oral cancer using fluorescence lifetime, photoacoustic and ultrasound techniques," Biomed. Opt. Express, 4, 1724-1741 (2013). https://doi.org/10.1364/BOE.4.001724
- J. Kim, A. Seo, J. -Y. Kim, S. H. Choi, H .-J. Yoon, E. Kim, and J. Y. Hwang, "A multimodal biomicroscopic system based on high-frequency acoustic radiation force impulse and multispectral imaging techniques for tumor characterization ex vivo," Sci. Rep. 7, 17518 (2017).
- J. Kim, H. M. Lew, J. -H. Kim, S. Youn, H. Al Faruque, A. N. Seo, S. Y. Park, J. H. Chang, E. Kim, and J. Y. Hwang, "Forward-looking multimodal endoscopic system based on optical multispectral and high-frequency ultrasound imaging techniques for tumor detection," IEEE Trans. Med. Imaging, 40, 594-606 (2020). https://doi.org/10.1109/TMI.2020.3032275
- O. Ronneberger, P. Fischer, and T. Brox. "U-net: convolutional networks for biomedical image segmentation," Proc. MICCAI, 234-241 (2015).
- Y. Guo, G. Wu, J. Stein, and A. Krishnamurthy, "SAU-Net: A universal deep network for cell counting," Proc. 10th ACM Int. Con. Bioinfo. Comput. Biol. Health Info. 299-306 (2019).