Keyword search (4,163 papers available)

"Ultrasound Med Biol" Category Publications:

Title Authors PubMed ID
1 Investigating the Accumulation of Submicron Phase-Change Droplets in Tumors. Helfield BL, Yoo K, Liu J, Williams R, Sheeran PS, Goertz DE, Burns PN 32732167
BIOLOGY
2 Transendothelial Perforations and the Sphere of Influence of Single-Site Sonoporation. Helfield B, Chen X, Watkins SC, Villanueva FS 32402675
BIOLOGY
3 High-Dynamic-Range Ultrasound: Application for Imaging Tendon Pathology. Xiao Y, Boily M, Hashemi HS, Rivaz H 29628224
PERFORM

 

Title:High-Dynamic-Range Ultrasound: Application for Imaging Tendon Pathology.
Authors:Xiao Y,  Boily M,  Hashemi HS,  Rivaz H
Link:https://www.ncbi.nlm.nih.gov/pubmed/29628224?dopt=Abstract
DOI:10.1016/j.ultrasmedbio.2018.03.004
Publication:Ultrasound in medicine & biology
Keywords:High dynamic range;  Image processing;  Tendon pathology;  Tone mapping;  Ultrasound; 
PMID:29628224 Category:Ultrasound Med Biol Date Added:2019-04-15
Dept Affiliation: PERFORM
1 PERFORM Centre, Concordia University, Montreal, Quebec, Canada; Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada. Electronic address: yiming.xiao@concordia.ca.
2 Department of Diagnostic Radiology, McGill University, Montreal, Quebec, Canada.
3 Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada.
4 PERFORM Centre, Concordia University, Montreal, Quebec, Canada; Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada.

Description:

High-Dynamic-Range Ultrasound: Application for Imaging Tendon Pathology.

Ultrasound Med Biol. 2018 07;44(7):1525-1532

Authors: Xiao Y, Boily M, Hashemi HS, Rivaz H

Abstract

Raw ultrasound (US) signal has a very high dynamic range (HDR) and, as such, is compressed in B-mode US using a logarithmic function to fit within the dynamic range of digital displays. However, in some cases, hyper-echogenic tissue can be overexposed at high gain levels with the loss of hypo-echogenic detail at low gain levels. This can cause the loss of anatomic detail and tissue texture and frequent and inconvenient gain adjustments, potentially affecting the diagnosis. To mitigate these drawbacks, we employed tone mapping operators (TMOs) in HDR photography to create HDR US. We compared HDR US produced from three different popular TMOs (Reinhard, Drago and Durand) against conventional US using a simulated US phantom and in vivo images of patellar tendon pathologies. Based on visual inspection and assessments of structural fidelity, image entropy and contrast-to-noise ratio metrics, Reinhard and Drago TMOs substantially improved image detail and texture.

PMID: 29628224 [PubMed - indexed for MEDLINE]




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