2D/3D Megavoltage Image Registration Using Convolutional Neural Networks

11/28/2018
by   Hector N. B. Pinheiro, et al.
0

We presented a 2D/3D MV image registration method based on a Convolutional Neural Network. Most of the traditional image registration method intensity-based, which use optimization algorithms to maximize the similarity between to images. Although these methods can achieve good results for kilovoltage images, the same does not occur for megavoltage images due to the lower image quality. Also, these methods most of the times do not present a good capture range. To deal with this problem, we propose the use of Convolutional Neural Network. The experiments were performed using a dataset of 50 brain images. The results showed to be promising compared to traditional image registration methods.

READ FULL TEXT

page 6

page 7

research
11/23/2017

Unsupervised End-to-end Learning for Deformable Medical Image Registration

We propose a registration algorithm for 2D CT/MRI medical images with a ...
research
07/22/2023

A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registration

Fisheye lens, which is suitable for panoramic imaging, has the prominent...
research
04/01/2019

Palmprint image registration using convolutional neural networks and Hough transform

Minutia-based palmprint recognition systems has got lots of interest in ...
research
01/14/2022

Multimodal registration of FISH and nanoSIMS images using convolutional neural network models

Nanoscale secondary ion mass spectrometry (nanoSIMS) and fluorescence in...
research
02/10/2018

2-gram-based Phonetic Feature Generation for Convolutional Neural Network in Assessment of Trademark Similarity

A trademark is a mark used to identify various commodities. If same or s...
research
10/24/2020

Classification of Spot-welded Joints in Laser Thermography Data using Convolutional Neural Networks

Spot welding is a crucial process step in various industries. However, c...
research
12/26/2018

RegNet: Learning the Optimization of Direct Image-to-Image Pose Registration

Direct image-to-image alignment that relies on the optimization of photo...

Please sign up or login with your details

Forgot password? Click here to reset