PMID- 36772604
OWN - NLM
STAT- MEDLINE
DCOM- 20230214
LR  - 20230214
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 23
IP  - 3
DP  - 2023 Feb 1
TI  - Computer-Aided Ankle Ligament Injury Diagnosis from Magnetic Resonance Images 
      Using Machine Learning Techniques.
LID - 10.3390/s23031565 [doi]
LID - 1565
AB  - Ankle injuries caused by the Anterior Talofibular Ligament (ATFL) are the most 
      common type of injury. Thus, finding new ways to analyze these injuries through 
      novel technologies is critical for assisting medical diagnosis and, as a result, 
      reducing the subjectivity of this process. As a result, the purpose of this study 
      is to compare the ability of specialists to diagnose lateral tibial tuberosity 
      advancement (LTTA) injury using computer vision analysis on magnetic resonance 
      imaging (MRI). The experiments were carried out on a database obtained from the 
      Vue PACS-Carestream software, which contained 132 images of ATFL and normal 
      (healthy) ankles. Because there were only a few images, image augmentation 
      techniques was used to increase the number of images in the database. Following 
      that, various feature extraction algorithms (GLCM, LBP, and HU invariant moments) 
      and classifiers such as Multi-Layer Perceptron (MLP), Support Vector Machine 
      (SVM), k-Nearest Neighbors (kNN), and Random Forest (RF) were used. Based on the 
      results from this analysis, for cases that lack clear morphologies, the method 
      delivers a hit rate of 85.03% with an increase of 22% over the human expert-based 
      analysis.
FAU - Astolfi, Rodrigo S
AU  - Astolfi RS
AD  - Graduate Program in Surgery, Federal University of Ceara, Fortaleza 60455-970, 
      CE, Brazil.
FAU - da Silva, Daniel S
AU  - da Silva DS
AUID- ORCID: 0000-0001-5670-1496
AD  - Department of Teleinformatics Engineering, Federal University of Ceara, Fortaleza 
      60455-970, CE, Brazil.
FAU - Guedes, Ingrid S
AU  - Guedes IS
AD  - Graduate Program in Surgery, Federal University of Ceara, Fortaleza 60455-970, 
      CE, Brazil.
FAU - Nascimento, Caio S
AU  - Nascimento CS
AUID- ORCID: 0000-0003-4665-9225
AD  - Department of Teleinformatics Engineering, Federal University of Ceara, Fortaleza 
      60455-970, CE, Brazil.
FAU - Damasevicius, Robertas
AU  - Damasevicius R
AUID- ORCID: 0000-0001-9990-1084
AD  - Department of Software Engineering, Kaunas University of Technology, 51368 
      Kaunas, Lithuania.
FAU - Jagatheesaperumal, Senthil K
AU  - Jagatheesaperumal SK
AUID- ORCID: 0000-0002-9516-0327
AD  - Department of Electronics and Communication Engineering, Mepco Schlenk 
      Engineering College, Sivakasi 626005, TN, India.
FAU - de Albuquerque, Victor Hugo C
AU  - de Albuquerque VHC
AUID- ORCID: 0000-0003-3886-4309
AD  - Department of Teleinformatics Engineering, Federal University of Ceara, Fortaleza 
      60455-970, CE, Brazil.
FAU - Leite, Jose Alberto D
AU  - Leite JAD
AD  - Graduate Program in Surgery, Federal University of Ceara, Fortaleza 60455-970, 
      CE, Brazil.
LA  - eng
PT  - Journal Article
DEP - 20230201
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
MH  - Humans
MH  - Ankle/diagnostic imaging
MH  - Ankle Joint
MH  - *Lateral Ligament, Ankle/diagnostic imaging/injuries
MH  - Magnetic Resonance Imaging/methods
MH  - *Ankle Injuries/diagnostic imaging
MH  - Computers
PMC - PMC9919370
OTO - NOTNLM
OT  - MRI
OT  - ankle ligament injury
OT  - data augmentation
OT  - feature extraction
COIS- The authors declare no conflict of interest.
EDAT- 2023/02/12 06:00
MHDA- 2023/02/15 06:00
PMCR- 2023/02/01
CRDT- 2023/02/11 01:45
PHST- 2022/12/16 00:00 [received]
PHST- 2023/01/16 00:00 [revised]
PHST- 2023/01/28 00:00 [accepted]
PHST- 2023/02/11 01:45 [entrez]
PHST- 2023/02/12 06:00 [pubmed]
PHST- 2023/02/15 06:00 [medline]
PHST- 2023/02/01 00:00 [pmc-release]
AID - s23031565 [pii]
AID - sensors-23-01565 [pii]
AID - 10.3390/s23031565 [doi]
PST - epublish
SO  - Sensors (Basel). 2023 Feb 1;23(3):1565. doi: 10.3390/s23031565.