Keyword search (4,164 papers available)

"image processing" Keyword-tagged Publications:

Title Authors PubMed ID
1 Brain tumor detection based on a novel and high-quality prediction of the tumor pixel distributions Sun Y; Wang C; 38493601
ENCS
2 Numerical and Experimental Validation of Mixing Efficiency in Periodic Disturbance Mixers López RR; Sánchez LM; Alazzam A; Burnier JV; Stiharu I; Nerguizian V; 34577745
ENCS
3 Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters. Amini S, Kersten-Oertel M 32038868
PERFORM
4 Quantifying attention shifts in augmented reality image-guided neurosurgery. Léger É, Drouin S, Collins DL, Popa T, Kersten-Oertel M 29184663
PERFORM
5 Distance sonification in image-guided neurosurgery. Plazak J, Drouin S, Collins L, Kersten-Oertel M 29184665
PERFORM
6 Intra-operative Video Characterization of Carotid Artery Pulsation Patterns in Case Series with Post-endarterectomy Hypertension and Hyperperfusion Syndrome. Xiao Y, Rivaz H, Kasuya H, Yokosako S, Mindru C, Teitelbaum J, Sirhan D, Sinclair D, Angle M, Lo BWY 29322480
PERFORM
7 High-Dynamic-Range Ultrasound: Application for Imaging Tendon Pathology. Xiao Y, Boily M, Hashemi HS, Rivaz H 29628224
PERFORM
8 Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles. Xiao Y, Fortin M, Battié MC, Rivaz H 30051147
PERFORM
9 Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system. Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M 30800320
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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