1 |
FEREIRA J L, DE FEREIRA Á E, ORTEGA A I. Methods for the analysis of hard dental tissues exposed to high temperatures[J]. Forensic Sci Int,2008,178(2/3):119-124. doi:10.1016/j.forsciint.2007.12.009 .
|
2 |
LIVERSIDGE H M. Timing of human mandibular third molar formation[J]. Ann Hum Biol,2008,35(3):294-321. doi:10.1080/03014460801971445 .
|
3 |
LIVERSIDGE H M, HERDEG B, RÖSING F W. Dental age estimation of non-adults. A review of methods and principles[M]// ALT K W, RÖSING F W, TESCHLER-NICOLA M. Dental Anthropology. Vienna: Springer,1998:419-442.
|
4 |
DEMIRJIAN A, GOLDSTEIN H, TANNER J M. A new system of dental age assessment[J]. Hum Biol,1973,45(2):211-227.
|
5 |
THEVISSEN P W, KVAAL S I, WILLEMS G. Ethics in age estimation of unaccompanied minors[J]. J Forensic Odontostomatol,2012,30(S1):84-102.
|
6 |
GAUDINO C, COSGAREA R, HEILAND S, et al. MR-Imaging of teeth and periodontal apparatus: An experimental study comparing high-resolution MRI with MDCT and CBCT[J]. Eur Radiol,2011,21(12):2575-2583. doi:10.1007/s00330-011-2209-0 .
|
7 |
BOZZO A, MARCOUX J, RADHAKRISHNA M, et al. The role of magnetic resonance imaging in the management of acute spinal cord injury[J]. J Neurotrauma,2011,28(8):1401-1411. doi:10.1089/neu.2009.1236 .
|
8 |
DESPOTOVIĆ I, GOOSSENS B, PHILIPS W. MRI segmentation of the human brain: Challenges, methods, and applications[J]. Comput Math Methods Med,2015,2015:450341. doi:10.1155/2015/450341 .
|
9 |
DEMIRTURK KOCASARAC H, GEHA H, GAA-LAAS L R, et al. MRI for dental applications[J]. Dent Clin North Am,2018,62(3):467-480. doi:10 .
|
|
1016/j.cden.2018.03.006.
|
10 |
DRĂGAN O C, FĂRCĂŞANU A Ş, CÂMPIAN R S, et al. Human tooth and root canal morphology reconstruction using magnetic resonance imaging[J]. Clujul Med,2016,89(1):137-142. doi:10.15386/cjmed-555 .
|
11 |
LAURINO F A R, CHOI I G G, KIM J H, et al. Correlation between magnetic resonance imaging and cone-beam computed tomography for maxillary sinus graft assessment[J]. Imaging Sci Dent,2020,50(2):93-98. doi:10.5624/isd.2020.50.2.93 .
|
12 |
LIZIO G, SALIZZONI E, COE M, et al. Differential diagnosis between a granuloma and radicular cyst: Effectiveness of magnetic resonance imaging[J]. Int Endod J,2018,51(10):1077-1087. doi:10.1111/iej.12933 .
|
13 |
DUTTENHOEFER F, MERTENS M E, VIZKELETY J, et al. Magnetic resonance imaging in zirconia-based dental implantology[J]. Clin Oral Implants Res,2015,26(10):1195-1202. doi:10.1111/clr.12430 .
|
14 |
FLÜGGE T, LUDWIG U, HÖVENER J B, et al. Virtual implant planning and fully guided implant surgery using magnetic resonance imaging — Proof of principle[J]. Clin Oral Implants Res,2020,31(6):575-583. doi:10.1111/clr.13592 .
|
15 |
SCHUURMANS T J, NIXDORF D R, IDIYATUL-LIN D S, et al. Accuracy and reliability of root crack and fracture detection in teeth using magnetic resonance imaging[J]. J Endod,2019,45(6):750-755.e2. doi:10.1016/j.joen.2019.03.008 .
|
16 |
OTTOW C, KRÄMER J A, OLZE A, et al. Magnetresonanztomographiestudie zur Altersschätzung von unbegleiteten minderjährigen Flüchtlingen[J]. Rechtsmedizin,2015,25:12-20. doi:10.1007/s00194-014-0991-0 .
|
17 |
BAUMANN P, WIDEK T, MERKENS H, et al. Dental age estimation of living persons: Comparison of MRI with OPG[J]. Forensic Sci Int,2015,253:76-80. doi:10.1016/j.forsciint.2015.06.001 .
|
18 |
GUO Y, OLZE A, OTTOW C, et al. Dental age estimation in living individuals using 3.0 T MRI of lower third molars[J]. Int J Legal Med,2015,129(6):1265-1270. doi:10.1007/s00414-015-1238-7 .
|
19 |
DE TOBEL J, PARMENTIER G I L, PHLYPO I, et al. Magnetic resonance imaging of third molars in forensic age estimation: Comparison of the Ghent and Graz protocols focusing on apical closure[J]. Int J Legal Med,2019,133(2):583-592. doi:10.1007/s00414-018-1905-6 .
|
20 |
DE TOBEL J, PHLYPO I, FIEUWS S, et al. Forensic age estimation based on development of third molars: A staging technique for magnetic resonance imaging[J]. J Forensic Odontostomatol,2017,35(2):117-140.
|
21 |
WIDEK T, GENET P, MERKENS H, et al. Dental age estimation: The chronology of mineralization and eruption of male third molars with 3T MRI[J]. Forensic Sci Int,2019,297:228-235. doi:10.1016/j.forsciint.2019.02.019 .
|
22 |
范飞,戴鑫华,王亮,等. 应用下颌第三磨牙建立中国汉族18岁评估模型[J].法医学杂志,2016,32(1):31-34,44. doi:10.3969/j.issn.1004-5619.2016.01.007 .
|
|
FAN F, DAI X H, WANG L, et al. Establish assessment model of 18 years of age in Chinese Han population by mandibular third molar[J]. Fayixue Zazhi,2016,32(1):31-34,44.
|
23 |
CALDAS I M, CARNEIRO J L, TEIXEIRA A, et al. Chronological course of third molar eruption in a Portuguese population[J]. Int J Legal Med,2012,126(1):107-112. doi:10.1007/s00414-011-0600-7 .
|
24 |
金洪年,成明,刘红春,等. Demirjian法测定广东地区青少年第三磨牙牙龄[J].中国法医学杂志,2014,29(3):194-197. doi:10.13618/j.cnki.1001-5728.2014.03.002 .
|
|
JIN H N, CHENG M, LIU H C, et al. Dental age assessment of the third molar using Demirjian’s method in 344 teenagers of Guangdong Han population and the application of forensic science[J]. Zhongguo Fayixue Zazhi,2014,29(3):194-197.
|
25 |
MEINL A, TANGL S, HUBER C, et al. The chronology of third molar mineralization in the Austrian population — A contribution to forensic age estimation[J]. Forensic Sci Int,2007,169(2/3):161-167. doi:10.1016/j.forsciint.2006.08.014 .
|
26 |
BJØRK M B, KVAAL S I, BLEKA Ø, et al. Age prediction in sub-adults based on MRI segmentation of 3rd molar tissue volumes[J]. Int J Legal Med,2023,137(3):753-763. doi:10.1007/s00414-023-02977-4 .
|
27 |
BJØRK M B, KVAAL S I, BLEKA Ø, et al. Prediction of age older than 18 years in sub-adults by MRI segmentation of 1st and 2nd molars[J]. Int J Legal Med,2023,137(5):1515-1526. doi:10.1007/s00414-023-03055-5 .
|
28 |
BJØRK M B, BLEKA Ø, KVAAL S I, et al. MRI segmentation of tooth tissue in age prediction of sub-adults — A new method for combining data from the 1st, 2nd, and 3rd molars[J]. Int J Legal Med,2024,138(3):939-949. doi:10.1007/s00414-023-03149-0 .
|
29 |
ŠTERN D, PAYER C, GIULIANI N, et al. Automatic age estimation and majority age classification from multi-factorial MRI data[J]. IEEE J Biomed Health Inform,2019,23(4):1392-1403. doi:10.1109/JBHI.2018.2869606 .
|
30 |
MILOŠEVIĆ D, VODANOVIĆ M, GALIĆ I, et al. Automated estimation of chronological age from panoramic dental X-ray images using deep learning[J]. Expert Syst Appl,2022,189:116038. doi:10.1016/j.eswa.2021.116038 .
|
31 |
VILA-BLANCO N, CARREIRA M J, VARAS-QUINTANA P, et al. Deep neural networks for chronological age estimation from OPG images[J]. IEEE Trans Med Imaging,2020,39(7):2374-2384. doi:10.1109/TMI.2020.2968765 .
|
32 |
GUO Y C, HAN M, CHI Y, et al. Accurate age classification using manual method and deep convolutional neural network based on orthopantomogram images[J]. Int J Legal Med,2021,135(4):1589-1597. doi:10.1007/s00414-021-02542-x .
|
33 |
DE BACK W, SEURIG S, WAGNER S, et al. Forensic age estimation with Bayesian convolutional neural networks based on panoramic dental X-ray imaging[C/OL]// Proceedings of the 2019 International Conference on Medical Imaging with Deep Learning,2019. (2023-05-06)[2023-08-13]. .
|
34 |
ŠTERN D, KAINZ P, PAYER C, et al. Multi-factorial age estimation from skeletal and dental MRI volumes[C]// WANG Q, SHI Y, SUK H I, et al. Machine learning in medical imaging. Cham: Springer,2017:61-69.
|