PMID- 32479346
OWN - NLM
STAT- MEDLINE
DCOM- 20210621
LR  - 20210621
IS  - 1879-0534 (Electronic)
IS  - 0010-4825 (Linking)
VI  - 122
DP  - 2020 Jul
TI  - Automatic extraction of vertebral landmarks from ultrasound images: A pilot 
      study.
PG  - 103838
LID - S0010-4825(20)30199-2 [pii]
LID - 10.1016/j.compbiomed.2020.103838 [doi]
AB  - Interpreting ultrasound (US) images of the spine is challenging due to the high 
      variability of the contrast during freehand US acquisitions. In this paper, an 
      automatic method to extract vertebral landmarks (spinous process and laminae) 
      from US images acquired in the transverse plane is presented. Prior knowledge 
      about the vertebral shape and the associated hyper-echoic property is 
      incorporated using the horizontal and vertical projections of the image 
      intensities. After detrending, the mean-value crossing of the projections is used 
      to define the concept of mean boundary and locate landmarks without the need for 
      thresholding or parameter adjustment. The method was evaluated using two 
      datasets: a porcine cadaver dataset (PC) with CT data registered to the US data 
      used as a gold standard, and a healthy human subjects dataset (HH) with a silver 
      standard generated from manual landmarks located on the US data acquired with a 
      curvilinear (6C2) and linear (14L5) probe. The mean sum of distances (MSD) of the 
      landmark extraction to the gold and silver standards is respectively 
      MSD=0.90+/-1.05 mm for PC, MSD=1.14+/-1.08 mm (6C2) and MSD=3.54+/-2.69 mm (14L5) for 
      HH. Results are satisfying on PC and HH with 6C2. Variable contrast quality for 
      14L5 gives satisfying results for the spinous process but not for the laminae. 
      The proposed approach has the potential to be used for different applications in 
      the context of US spine imaging such as scoliosis follow-up and intra-operative 
      surgical guidance.
CI  - Copyright (c) 2020 Elsevier Ltd. All rights reserved.
FAU - Brignol, A
AU  - Brignol A
AD  - Ecole de technologie superieure, 1100 Rue Notre-Dame O., Montreal, Canada QC H3C 
      1K3; Sainte-Justine University Hospital Research Centre, 3175 Chemin de la 
      Cote-Sainte-Catherine, Montreal, Canada QC H3T 1C4. Electronic address: 
      arnaud.brignol.1@etsmtl.net.
FAU - Gueziri, H E
AU  - Gueziri HE
AD  - Montreal Neurological Institute, McGill University, 3801 Rue Universite, 
      Montreal, Canada QC H3A 2B4. Electronic address: 
      houssem-eddine.gueziri.1@etsmtl.net.
FAU - Cheriet, F
AU  - Cheriet F
AD  - Polytechnique Montreal, 2900 boul. Edouard-Montpetit, Montreal, Canada QC H3T 
      1J4; Sainte-Justine University Hospital Research Centre, 3175 Chemin de la 
      Cote-Sainte-Catherine, Montreal, Canada QC H3T 1C4. Electronic address: 
      farida.cheriet@polymtl.ca.
FAU - Collins, D L
AU  - Collins DL
AD  - Montreal Neurological Institute, McGill University, 3801 Rue Universite, 
      Montreal, Canada QC H3A 2B4. Electronic address: louis.collins@mcgill.ca.
FAU - Laporte, C
AU  - Laporte C
AD  - Ecole de technologie superieure, 1100 Rue Notre-Dame O., Montreal, Canada QC H3C 
      1K3; Sainte-Justine University Hospital Research Centre, 3175 Chemin de la 
      Cote-Sainte-Catherine, Montreal, Canada QC H3T 1C4. Electronic address: 
      catherine.laporte@etsmtl.ca.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20200528
PL  - United States
TA  - Comput Biol Med
JT  - Computers in biology and medicine
JID - 1250250
SB  - IM
MH  - Animals
MH  - Humans
MH  - Pilot Projects
MH  - *Scoliosis
MH  - *Spine/diagnostic imaging
MH  - Swine
MH  - Ultrasonography
OTO - NOTNLM
OT  - Automatic detection
OT  - Landmarks
OT  - Spine
OT  - Ultrasound imaging
OT  - Vertebra
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2020/06/02 06:00
MHDA- 2021/06/22 06:00
CRDT- 2020/06/02 06:00
PHST- 2020/02/19 00:00 [received]
PHST- 2020/05/12 00:00 [revised]
PHST- 2020/05/26 00:00 [accepted]
PHST- 2020/06/02 06:00 [pubmed]
PHST- 2021/06/22 06:00 [medline]
PHST- 2020/06/02 06:00 [entrez]
AID - S0010-4825(20)30199-2 [pii]
AID - 10.1016/j.compbiomed.2020.103838 [doi]
PST - ppublish
SO  - Comput Biol Med. 2020 Jul;122:103838. doi: 10.1016/j.compbiomed.2020.103838. Epub 
      2020 May 28.