Morphological active contour without edge-based model for real-time and non-rigid uterine fibroid tracking in HIFU treatment

Autor: Xinran Zhang, Hongen Liao, Guochen Ning
Jazyk: angličtina
Rok vydání: 2019
Předmět:
ultrasonic imaging
Image quality
Computer science
edge-based model
Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions
ultrasonic therapy
HIFU treatment
02 engineering and technology
medical image processing
Displacement (vector)
030218 nuclear medicine & medical imaging
biomedical ultrasonics
surgery
nonrigid US lesion contour
0302 clinical medicine
Health Information Management
incomplete lesion area
intraoperative US video
Computer vision
image segmentation
Contouring
Active contour model
low signal-to-noise ratio
uterine fibroid
reasonable lesion tracking procedure
tracking accuracy
lcsh:R855-855.5
Kernel (image processing)
morphological active contour
accurate lesion contour
targeted image pre-processing procedure
customised morphological kernel
ultrasound therapy
current intraoperative image processing
lcsh:Medical technology
accurate real-time
0206 medical engineering
Health Informatics
Image processing
03 medical and health sciences
noninvasive surgical approach
business.industry
nonrigid uterine
Image segmentation
Frame rate
improved morphological contour detection method
020601 biomedical engineering
HIFU US images
Artificial intelligence
HIFU operation
business
inadequate image quality
nonrigid lesion contour
Zdroj: Healthcare Technology Letters
Healthcare Technology Letters (2019)
ISSN: 2053-3713
Popis: High-intensity focused ultrasound (HIFU) therapy represents an image-guided and non-invasive surgical approach to treat uterine fibroid. During the HIFU operation, it is challenging to obtain the real-time and accurate lesion contour automatically in ultrasound (US) video. The current intraoperative image processing is completed manually or semi-automatic. In this Letter, the authors propose a morphological active contour without an edge-based model to obtain accurate real-time and non-rigid US lesion contour. Firstly, a targeted image pre-processing procedure is applied to reduce the influence of inadequate image quality. Then, an improved morphological contour detection method with a customised morphological kernel is harnessed to solve the low signal-to-noise ratio of HIFU US images and obtain an accurate non-rigid lesion contour. A more reasonable lesion tracking procedure is proposed to improve tracking accuracy especially in the case of large displacement and incomplete lesion area. The entire framework is accelerated by the GPU to achieve a high frame rate. Finally, a non-rigid, real-time and accurate lesion contouring for intraoperative US video is provided to the doctor. The proposed procedure could reach a speed of more than 30 frames per second in general computer and a Dice similarity coefficient of 90.67% and Intersection over Union of 90.14%.
Databáze: OpenAIRE
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