Template-based automatic breast segmentation on MRI by excluding the chest region

• Published in: Medical physics (Lancaster) Vol. 40; no. 12; pp. 122301 - n/a
• Main Authors: Lin, Muqing, Chen, Jeon-Hor, Wang, Xiaoyong, Chan, Siwa, Chen, Siping, Su, Min-Ying
• Format: Journal Article
• Language: English
• Published: United States American Association of Physicists in Medicine 01.12.2013
• Subjects: Adult; ALGORITHMS; ANIMAL TISSUES; Automation; Biological material, e.g. blood, urine; Haemocytometers; biomedical MRI; Breast; breast density; breast MRI; CHEST; chest body template; Cluster analysis; demons algorithm; Digital computing or data processing equipment or methods, specially adapted for specific applications; Edge detection; error analysis; ERRORS; Female; Humans; Image data processing or generation, in general; Image Processing, Computer-Assisted - methods; image registration; image segmentation; Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging; Lungs; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Magnetic Resonance Physics; MAMMARY GLANDS; Measuring length, thickness or similar linear dimensions; Measuring angles; Measuring areas; Measuring irregularities of surfaces or contours; Measuring volume, volume flow, mass flow, or liquid level; Metering by volume; Medical image contrast; medical image processing; Medical image segmentation; Medical imaging; Medical magnetic resonance imaging; Middle Aged; model‐based breast segmentation; muscle; MUSCLES; NMR IMAGING; Radiologists; RADIOLOGY AND NUCLEAR MEDICINE; Registration; Segmentation; Thoracic Wall; VERTEBRAE; volume measurement; Young Adult; breast MRI; model-based breast segmentation; chest body template; breast density; demons algorithm

Purpose: Methods for quantification of breast density on MRI using semiautomatic approaches are commonly used. In this study, the authors report on a fully automatic chest template-based method. Methods: Nonfat-suppressed breast MR images from 31 healthy women were analyzed. Among them, one case was...