Hybrid Registration Method of Narrow-Band Blood Vessel Image for Vascular Targeted Photodynamic Therapy

Ruijie Chen; Yanhui Niu; Tianlong Chen; Haixia Qiu; Ying Gu; Yi Shen; Buhong Li

doi:10.3788/LOP202259.0617020

[1] van Straten D, Mashayekhi V, de Bruijn H S et al. Oncologic photodynamic therapy: basic principles, current clinical status and future directions[J]. Cancers, 9, E19(2017).

[2] Chen D F, Wang Y, Gu Y. Progress in dosimetric monitoring techniques involved in vascular targeted photodynamic therapy for port wine stains[J]. Chinese Journal of Laser Medicine & Surgery, 25, 82-96(2016).

[3] Liang F Q, Shen Y, Gu Y et al. Recent advances in light sources for photodynamic therapy[J]. Acta Laser Biology Sinica, 28, 97-108(2019).

[4] Li W B, Shen Y, Li B H. Advances in optical imaging for monitoring photodynamic therapy dosimetry[J]. Chinese Journal of Lasers, 47, 0207006(2020).

[5] Chen D F, Ren J, Wang Y et al. Intraoperative monitoring of blood perfusion in port wine stains by laser Doppler imaging during vascular targeted photodynamic therapy: a preliminary study[J]. Photodiagnosis and Photodynamic Therapy, 14, 142-151(2016).

[6] de Bruijn H S, Brooks S, van der Ploeg-van den Heuvel A et al. Light fractionation significantly increases the efficacy of photodynamic therapy using BF-200 ALA in normal mouse skin[J]. PLoS One, 11, e0148850(2016).

[7] Tie H T, Su G Z, He K et al. Efficacy and safety of ondansetron in preventing postanesthesia shivering: a meta-analysis of randomized controlled trials[J]. BMC Anesthesiology, 14, 12(2014).

[8] Yang C F, Chen M Y C, Chen T I et al. Dose-dependent effects of isoflurane on cardiovascular function in rats[J]. Tzu Chi Medical Journal, 26, 119-122(2014).

[9] Chen S H, Li X R, Zhao L Y et al. Medium-low resolution multisource remote sensing image registration based on SIFT and robust regional mutual information[J]. International Journal of Remote Sensing, 39, 3215-3242(2018).

[10] Song S M, Herrmann J M, Si B L et al. Two-dimensional forward-looking sonar image registration by maximization of peripheral mutual information[J]. International Journal of Advanced Robotic Systems, 14, 1-17(2017).

[11] Li Y, Li F Y, Yang K X et al. Remote sensing image registration based on Gaussian-Hermite moments and the Pseudo-RANSAC algorithm[J]. Remote Sensing Letters, 8, 1162-1171(2017).

[12] Kashyap S K, Jat D, Bhuyan M K et al. Zernike moment and mutual information based methods for multimodal image registration[M]. Chaudhuri B B, Nakagawa M, Khanna P, et al. Proceedings of 3rd International Conference on Computer Vision and Image Processing, 1024, 101-113(2020).

[13] Thirion J P. Image matching as a diffusion process: an analogy with Maxwell’s demons[J]. Medical Image Analysis, 2, 243-260(1998).

[14] Wang H, Dong L, O’Daniel J et al. Validation of an accelerated ‘demons’ algorithm for deformable image registration in radiation therapy[J]. Physics in Medicine and Biology, 50, 2887-2905(2005).

[15] Vercauteren T, Pennec X, Perchant A et al. Non-parametric diffeomorphic image registration with the demons algorithm[M]. Ayache N, Ourselin S, Maeder A. Medical image computing and computer-assisted intervention-MICCAI 2007, 4792, 319-326(2007).

[16] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004).

[17] Li C H, Shi H, Li Z J. Point cloud registration method based on combination of convolutional neural network and improved Harris-SIFT[J]. Laser & Optoelectronics Progress, 57, 201102(2020).

[18] Bay H, Tuytelaars T, van Gool L. SURF: speeded up robust features[M]. Leonardis A, Bischof H, Pinz A. Computer vision-ECCV 2006, 3951, 404-417(2006).

[19] Zhao X S, Chen X J, Ban Y et al. Power function-weighted image stitching method involving improved SURF and Cell acceleration[J]. Laser & Optoelectronics Progress, 57, 241018(2020).

[20] Lee C Y, Wang H J, Lai J H et al. Automatic marker-free longitudinal infrared image registration by shape context based matching and competitive winner-guided optimal corresponding[J]. Scientific Reports, 7, 39834(2017).

[21] Min C B, Gu Y, Yang F et al. Non-rigid registration for infrared and visible images via Gaussian weighted shape context and enhanced affine transformation[J]. IEEE Access, 8, 42562-42575(2020).

[22] Ma J Y, Jiang J J, Liu C Y et al. Feature guided Gaussian mixture model with semi-supervised EM and local geometric constraint for retinal image registration[J]. Information Sciences, 417, 128-142(2017).

[23] Dong Y Y, Long T F, Jiao W L et al. A novel image registration method based on phase correlation using low-rank matrix factorization with mixture of Gaussian[J]. IEEE Transactions on Geoscience and Remote Sensing, 56, 446-460(2018).

[24] Xu X L, Lin L S, Li B H. Automatic protocol for quantifying the vasoconstriction in blood vessel images[J]. Biomedical Optics Express, 11, 2122-2135(2020).

[25] Bookstein F L. Principal warps: thin-plate splines and the decomposition of deformations[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, 567-585(1989).

[26] Dai A N, Zhou H B, Tian Y L et al. Image registration algorithm based on manifold regularization with thin-plate spline model[M]. Zhang H J, Zhang Z, Wu Z, et al. Neural computing for advanced applications, 1265, 320-331(2020).

[27] Mogadas N, Sothmann T, Knopp T et al. Influence of deformable image registration on 4D dose simulation for extracranial SBRT: a multi-registration framework study[J]. Radiotherapy and Oncology, 127, 225-232(2018).

[28] Oliva D, Abd E M, Hinojosa S. Otsu’s between class variance and the tree seed algorithm[M]. Oliva D, Elaziz M A, Hinojosa S. Metaheuristic algorithms for image segmentation: theory and applications, 825, 71-83(2019).

[29] Oliveira F P M, Tavares J M R S. Medical image registration: a review[J]. Computer Methods in Biomechanics and Biomedical Engineering, 17, 73-93(2014).