Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs.

Abstract

Authors

• Sevgi Gokce Kafali
  Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
• Shu-Fu Shih
  Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
• Xinzhou Li
  Department of Radiological Sciences, University of California Los Angeles, 300 UCLA Medical Plaza, Suite B119, Los Angeles, CA, 90095, USA.
• Grace Hyun J Kim
  Department of Biostatistics, University of California, Los Angeles, California, USA.
• Tristan Kelly
  Department of Physiological Science, University of California, Los Angeles, CA, USA.
• Shilpy Chowdhury
  Department of Radiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
• Spencer Loong
  Department of Psychology, Loma Linda University School of Behavioral Health, Loma Linda, CA, USA.
• Jeremy Moretz
  Department of Neuroradiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
• Samuel R Barnes
  Department of Radiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
• Zhaoping Li
  Department of Medicine, University of California, Los Angeles, CA, USA.
• Holden H Wu
  Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.

Keywords

External Resources