Laser & Optoelectronics Progress, Volume. 59, Issue 6, 0617020(2022)
Hybrid Registration Method of Narrow-Band Blood Vessel Image for Vascular Targeted Photodynamic Therapy
Automatic quantitative assessment of vascular damage in mice's dorsal skin-fold window chamber (DSWC) plays an important role in personalized and precise vascular targeted photodynamic therapy (V-PDT). The narrow-band light blood vessel image of DSWC, however, will produce nonrigid deformations in varying degrees, which is caused by breathing, heartbeat, and involuntary movement of mice during V-PDT, and this leads to quantification errors of vascular damage. A judgment hybrid registration method combining the advantages of feature-based and gray-scale registration methods was proposed. The slight and severe deformations were first distinguished using the mean square difference (MSD) of registration groups. For slight deformation, the differential homeomorphism Demons (Log-Demons) algorithm was directly adopted for image registration. For severe deformation, the speeded up robust features thin-plate splines (SURF-TPS) algorithm was used for global registration, and then the Log-Demons algorithm was used to realize local registration. The experimental results show that the proposed algorithm has better registration accuracy and higher processing efficiency than the SURF-TPS, Log-Demons, and SURF-TPS+Log-Demons algorithm. Furthermore, this algorithm could effectively correct the inaccuracy assessment of vascular injury caused by severe deformation.
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Ruijie Chen, Yanhui Niu, Tianlong Chen, Haixia Qiu, Ying Gu, Yi Shen, Buhong Li. Hybrid Registration Method of Narrow-Band Blood Vessel Image for Vascular Targeted Photodynamic Therapy[J]. Laser & Optoelectronics Progress, 2022, 59(6): 0617020
Category: Medical Optics and Biotechnology
Received: Apr. 23, 2021
Accepted: Jun. 2, 2021
Published Online: Mar. 8, 2022
The Author Email: Shen Yi (yishen@fjnu.edu.cn)