Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort.

Wolfgang Wirth; Felix Eckstein; Jana Kemnitz; Christian Frederik Baumgartner; Ender Konukoglu; David Fuerst; Akshay Sanjay Chaudhari

doi:10.1007/s10334-020-00889-7

Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort.

Wolfgang Wirth^* (First author)
, Felix Eckstein (Co-author)
, Jana Kemnitz (Co-author)
, Christian Frederik Baumgartner
, Ender Konukoglu
, David Fuerst (Co-author)
, Akshay Sanjay Chaudhari

^*Corresponding author for this work

Institute of Anatomy and Cell Biology Salzburg

Research output: Contribution to journal › Original Article › peer-review

35 Citations (Web of Science)

Original language	English
Pages (from-to)	337-354
Journal	MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
Volume	34
Issue number	3
DOIs	https://doi.org/10.1007/s10334-020-00889-7
Publication status	Published - 2021

Keywords

KNEE ARTICULAR-CARTILAGE
CLINICAL-TRIALS
THICKNESS
JOINT
PLACEBO
DESIGN
TISSUE

Access to Document

10.1007/s10334-020-00889-7

A Machine- (Deep-) Learning Approach to Fully Automated Regional Bone, Cartilage, and Phenotype Analysis in Knee Osteoarthritis –Development, Validation, Application and Qualification
Wirth, W. (PI) & Kemnitz, J. (CoPI)
1/10/18 → 1/01/20
Project: Research

Cite this

Wirth, W., Eckstein, F., Kemnitz, J., Baumgartner, C. F., Konukoglu, E., Fuerst, D., & Chaudhari, A. S. (2021). Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, 34(3), 337-354. https://doi.org/10.1007/s10334-020-00889-7

Wirth, Wolfgang ; Eckstein, Felix ; Kemnitz, Jana et al. / Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort. In: MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE. 2021 ; Vol. 34, No. 3. pp. 337-354.

@article{15523188f170477d8e089b77ff107ea1,

title = "Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort.",

keywords = "KNEE ARTICULAR-CARTILAGE, CLINICAL-TRIALS, THICKNESS, JOINT, PLACEBO, DESIGN, TISSUE",

author = "Wolfgang Wirth and Felix Eckstein and Jana Kemnitz and Baumgartner, \{Christian Frederik\} and Ender Konukoglu and David Fuerst and Chaudhari, \{Akshay Sanjay\}",

note = "Wirth; Eckstein; Kemitz; F{\"u}rst: Paracelsus Med Univ Salzburg *** Nuremberg, Inst Anat *** Cell Biol, Dept Imaging *** Funct Musculoskeletal Res, Strubergasse 21, A-5020 Salzburg, Austria;Paracelsus Med Univ, Ludwig Boltzmann Inst Arthrit *** Rehabil, Salzburg, Austria;",

year = "2021",

doi = "10.1007/s10334-020-00889-7",

language = "English",

volume = "34",

pages = "337--354",

journal = "MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE",

issn = "0968-5243",

number = "3",

}

Wirth, W , Eckstein, F , Kemnitz, J, Baumgartner, CF, Konukoglu, E, Fuerst, D & Chaudhari, AS 2021, 'Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort.', MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, vol. 34, no. 3, pp. 337-354. https://doi.org/10.1007/s10334-020-00889-7

Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort. / Wirth, Wolfgang (First author); Eckstein, Felix (Co-author); Kemnitz, Jana (Co-author) et al.
In: MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, Vol. 34, No. 3, 2021, p. 337-354.

Research output: Contribution to journal › Original Article › peer-review

TY - JOUR

T1 - Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort.

AU - Wirth, Wolfgang

AU - Eckstein, Felix

AU - Kemnitz, Jana

AU - Baumgartner, Christian Frederik

AU - Konukoglu, Ender

AU - Fuerst, David

AU - Chaudhari, Akshay Sanjay

N1 - Wirth; Eckstein; Kemitz; Fürst: Paracelsus Med Univ Salzburg *** Nuremberg, Inst Anat *** Cell Biol, Dept Imaging *** Funct Musculoskeletal Res, Strubergasse 21, A-5020 Salzburg, Austria;Paracelsus Med Univ, Ludwig Boltzmann Inst Arthrit *** Rehabil, Salzburg, Austria;

PY - 2021

Y1 - 2021

KW - KNEE ARTICULAR-CARTILAGE

KW - CLINICAL-TRIALS

KW - THICKNESS

KW - JOINT

KW - PLACEBO

KW - DESIGN

KW - TISSUE

U2 - 10.1007/s10334-020-00889-7

DO - 10.1007/s10334-020-00889-7

M3 - Original Article

C2 - 33025284

SN - 0968-5243

VL - 34

SP - 337

EP - 354

JO - MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

JF - MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

IS - 3

ER -

Wirth W , Eckstein F , Kemnitz J, Baumgartner CF, Konukoglu E, Fuerst D et al. Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE. 2021;34(3):337-354. doi: 10.1007/s10334-020-00889-7

Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort.

Keywords

Access to Document

Projects

A Machine- (Deep-) Learning Approach to Fully Automated Regional Bone, Cartilage, and Phenotype Analysis in Knee Osteoarthritis –Development, Validation, Application and Qualification

Cite this