PMID- 33501673
OWN - NLM
STAT- MEDLINE
DCOM- 20210514
LR  - 20210514
IS  - 2473-4209 (Electronic)
IS  - 0094-2405 (Linking)
VI  - 48
IP  - 4
DP  - 2021 Apr
TI  - Choroidal neovascularization fusion visualization for spectral-domain optical 
      coherence tomography and optical coherence tomography angiography images.
PG  - 1731-1738
LID - 10.1002/mp.14737 [doi]
AB  - PURPOSE: The spectral-domain optical coherence tomography (SD-OCT) images and OCT 
      angiography (OCTA) images can provide complementary information for choroidal 
      neovascularization (CNV) visualization. We expected to simultaneously display 
      multifaceted characteristics of CNV in a single projection image. METHODS: We 
      proposed a fusion method for CNV visualization by combining structural and 
      angiographic images, which mainly involves four steps: (a) Generate SD-OCT and 
      OCTA projection images from original volumetric data with retinal layer 
      restriction. (b) For SD-OCT projection images, enhance retinal vessels and CNV. 
      (c) For OCTA images, detect CNV region based on multimodal data and display the 
      neovascularization in false color. (d) A maximum fusion strategy was adopted to 
      generate the fused images. RESULTS: Experimental results with 30 cases from 30 
      patients demonstrate that the fused images are more effective in displaying CNV 
      than single-modality projection images. The average information entropy and the 
      mean gradient in the CNV regions for SD-OCT projection images, OCTA images, and 
      the fusion images are 4.66/0.21, 5.45/0.45, and 6.8/0.58, respectively. 
      CONCLUSIONS: The proposed method is more effective for CNV visualization than the 
      conventional single-modality image-based method. The proposed method can combine 
      complementary information from multimodal images and provide a satisfying visual 
      effect.
CI  - (c) 2021 American Association of Physicists in Medicine.
FAU - Huang, Chen
AU  - Huang C
AD  - School of Computer Science and Engineering, Nanjing University of Science and 
      Technology, Nanjing, 210094, China.
FAU - Xie, Keren
AU  - Xie K
AD  - Department of Ophthalmology, The First Affiliated Hospital with Nanjing Medical 
      University, Nanjing, 210029, China.
FAU - Zhang, Yuhan
AU  - Zhang Y
AD  - School of Computer Science and Engineering, Nanjing University of Science and 
      Technology, Nanjing, 210094, China.
FAU - Li, Mingchao
AU  - Li M
AD  - School of Computer Science and Engineering, Nanjing University of Science and 
      Technology, Nanjing, 210094, China.
FAU - Yuan, Songtao
AU  - Yuan S
AD  - Department of Ophthalmology, The First Affiliated Hospital with Nanjing Medical 
      University, Nanjing, 210029, China.
FAU - Chen, Qiang
AU  - Chen Q
AD  - School of Computer Science and Engineering, Nanjing University of Science and 
      Technology, Nanjing, 210094, China.
LA  - eng
GR  - 61671242/National Natural Science Foundation of China (NSFC)/
GR  - BE2018131/Key R&D Program of Jiangsu Science and Technology Department/
GR  - 61671242/National Natural Science Foundation of China/
PT  - Journal Article
DEP - 20210219
PL  - United States
TA  - Med Phys
JT  - Medical physics
JID - 0425746
SB  - IM
MH  - Choroid
MH  - *Choroidal Neovascularization/diagnostic imaging
MH  - Fluorescein Angiography
MH  - Humans
MH  - Retina
MH  - Retinal Vessels
MH  - Tomography, Optical Coherence
OTO - NOTNLM
OT  - OCT angiography
OT  - choroidal neovascularization fusion
OT  - spectral-domain optical coherence tomography
EDAT- 2021/01/28 06:00
MHDA- 2021/05/15 06:00
CRDT- 2021/01/27 05:56
PHST- 2020/08/28 00:00 [revised]
PHST- 2020/04/02 00:00 [received]
PHST- 2020/12/29 00:00 [accepted]
PHST- 2021/01/28 06:00 [pubmed]
PHST- 2021/05/15 06:00 [medline]
PHST- 2021/01/27 05:56 [entrez]
AID - 10.1002/mp.14737 [doi]
PST - ppublish
SO  - Med Phys. 2021 Apr;48(4):1731-1738. doi: 10.1002/mp.14737. Epub 2021 Feb 19.