Evidence map›Paper›PMID 27660384›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2016

Determining Cardiac Fiber Orientation Using FSL and Registered Ultrasound/DTI volumes.

James Dormer, Xulei Qin, Ming Shen, Silun Wang, Xiaodong Zhang, Rong Jiang, Mary B Wagner, Baowei Fei

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Image Guided Mitral Valve Replacement: Registration of 3D Ultrasound and 2D X-ray Images.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  3. Ultrasound Segmentation of Rat Hearts Using Convolution Neural Networks.Proceedings of SPIE--the International Society for Optical Engineering · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

James DormerDepartment of Nuclear and Radiological Engineering, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA.
Xulei QinDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, GA.
Ming ShenDepartment of Pediatrics, Emory University, Atlanta, GA.
Silun WangYerkes National Primate Research Center, Emory University, Atlanta, GA.
Xiaodong ZhangYerkes National Primate Research Center, Emory University, Atlanta, GA.
Rong JiangDepartment of Pediatrics, Emory University, Atlanta, GA.
Mary B WagnerDepartment of Pediatrics, Emory University, Atlanta, GA.
Baowei FeiDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, GA; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA.

Funding

MOLECULAR IMAGING DIRECTED, 3D ULTRASOUND-GUIDED, BIOPSY SYSTEMR01CA156775 · NCI · UNIVERSITY OF TEXAS DALLAS · PI FEI, BAOWEI · 2011 to 2016
$1.7M
Targeted fusion biopsy using anti-[18F]FACBC PET/CT and real-time 3D ultrasound gR21CA176684 · NCI · EMORY UNIVERSITY · PI FEI, BAOWEI, MASTER, VIRAJ · 2013 to 2014
$568k
Multimodality in vivo Molecular Imaging for Prostate PDTR21CA120536 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI FEI, BAOWEI · 2006 to 2007
$326k
NCI NIH HHS R01 CA156775NCI NIH HHS R21 CA120536NCI NIH HHS R21 CA176684
6 · The paper itself

Abstract

Accurate extraction of cardiac fiber orientation from diffusion tensor imaging is important for determining heart structure and function. However, the acquisition of magnetic resonance (MR) diffusion tensor images is costly and time consuming. By comparison, cardiac ultrasound imaging is rapid and relatively inexpensive, but it lacks the capability to directly measure fiber orientations. In order to create a detailed heart model from ultrasound data, a three-dimensional (3D) diffusion tensor imaging (DTI) with known fiber orientations can be registered to an ultrasound volume through a geometric mask. After registration, the cardiac orientations from the template DTI can be mapped to the heart using a deformable transformation field. This process depends heavily on accurate fiber orientation extraction from the DTI. In this study, we use the FMRIB Software Library (FSL) to determine cardiac fiber orientations in diffusion weighted images. For the registration between ultrasound and MRI volumes, we achieved an average Dice similarity coefficient (DSC) of 81.6±2.1%. For the estimation of fiber orientations from the proposed method, we achieved an acute angle error (AAE) of 22.7±3.1° as compared to the direct measurements from DTI. This work provides a new approach to generate cardiac fiber orientation that may be used for many cardiac applications.

Identifiers

PMID27660384
PMCPMC5029420

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.