Fast Multiple Landmark Localisation Using a Patch-based Iterative Network

06/18/2018
by   Yuanwei Li, et al.
8

We propose a new Patch-based Iterative Network (PIN) for fast and accurate landmark localisation in 3D medical volumes. PIN utilises a Convolutional Neural Network (CNN) to learn the spatial relationship between an image patch and anatomical landmark positions. During inference, patches are repeatedly passed to the CNN until the estimated landmark position converges to the true landmark location. PIN is computationally efficient since the inference stage only selectively samples a small number of patches in an iterative fashion rather than a dense sampling at every location in the volume. Our approach adopts a multi-task learning framework that combines regression and classification to improve localisation accuracy. We extend PIN to localise multiple landmarks by using principal component analysis, which models the global anatomical relationships between landmarks. We have evaluated PIN using 72 3D ultrasound images from fetal screening examinations. PIN achieves quantitatively an average landmark localisation error of 5.59mm and a runtime of 0.44s to predict 10 landmarks per volume. Qualitatively, anatomical 2D standard scan planes derived from the predicted landmark locations are visually similar to the clinical ground truth.

READ FULL TEXT
04/13/2018

CNN-based Landmark Detection in Cardiac CTA Scans

Fast and accurate anatomical landmark detection can benefit many medical...
06/19/2018

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network

Standard scan plane detection in fetal brain ultrasound (US) forms a cru...
06/10/2021

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip

The ultrasound (US) screening of the infant hip is vital for the early d...
12/13/2020

One-Shot Object Localization in Medical Images based on Relative Position Regression

Deep learning networks have shown promising performance for accurate obj...
06/07/2019

Deep Learning based Cephalometric Landmark Identification using Landmark-dependent Multi-scale Patches

A deep neural network based cephalometric landmark identification model ...
05/28/2018

Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging

Real-time localization of prostate gland in trans-rectal ultrasound imag...
10/22/2021

Feasibility of Remote Landmark Identification for Cricothyrotomy Using Robotic Palpation

Cricothyrotomy is a life-saving emergency intervention that secures an a...

Code Repositories

landmark-detection

Automatic tool for landmark localisation in 3D medical images


view repo