Fast and automatic bone segmentation and registration of 3D ultrasound to CT for the full pelvic anatomy: a comparative study.
Prashant U PandeyPierre GuyAntony J HodgsonRafeef AbugharbiehPublished in: International journal of computer assisted radiology and surgery (2018)
We demonstrate an accurate, automatic image processing pipeline for intraoperative alignment of US-CT over the full pelvis and compare its performance with the state-of-the-art methods. The proposed methods are amenable to clinical implementation due to their high accuracy on realistic data and acceptably low runtimes.
Keyphrases
- deep learning
- image quality
- dual energy
- contrast enhanced
- computed tomography
- convolutional neural network
- magnetic resonance imaging
- artificial intelligence
- machine learning
- primary care
- healthcare
- positron emission tomography
- bone mineral density
- big data
- rectal cancer
- electronic health record
- high resolution
- patients undergoing
- magnetic resonance
- quality improvement
- neural network
- body composition
- postmenopausal women
- mass spectrometry