DeepAI AI Chat
Log In Sign Up

More Knowledge is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring

12/09/2018
by   Haofu Liao, et al.
University of Rochester
0

Using catheter ablation to treat atrial fibrillation increasingly relies on intracardiac echocardiography (ICE) for an anatomical delineation of the left atrium and the pulmonary veins that enter the atrium. However, it is a challenge to build an automatic contouring algorithm because ICE is noisy and provides only a limited 2D view of the 3D anatomy. This work provides the first automatic solution to segment the left atrium and the pulmonary veins from ICE. In this solution, we demonstrate the benefit of building a cross-modality framework that can leverage a database of diagnostic images to supplement the less available interventional images. To this end, we develop a novel deep neural network approach that uses the (i) 3D geometrical information provided by a position sensor embedded in the ICE catheter and the (ii) 3D image appearance information from a set of computed tomography cardiac volumes. We evaluate the proposed approach over 11,000 ICE images collected from 150 clinical patients. Experimental results show that our model is significantly better than a direct 2D image-to-image deep neural network segmentation, especially for less-observed structures.

READ FULL TEXT

page 2

page 5

page 6

08/13/2020

Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images

Multi-sequence of cardiac magnetic resonance (CMR) images can provide co...
02/14/2015

Cardiac MR Image Segmentation Techniques: an overview

Broadly speaking, the objective in cardiac image segmentation is to deli...
01/05/2019

Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network

It remains challenging to automatically segment kidneys in clinical ultr...
02/02/2020

Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention

Three-dimensional late gadolinium enhanced (LGE) cardiac MR (CMR) of lef...
06/12/2018

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation

Late Gadolinium Enhanced Cardiac MRI (LGE-CMRI) for detecting atrial sca...
06/22/2020

Deep Negative Volume Segmentation

Clinical examination of three-dimensional image data of compound anatomi...