Meeting Banner
Abstract #0250

Improving robustness in automated slice positioning for knee MR by combining landmark detection and image processing

Takamasa Sugiura1, Shuhei Nitta1, Taichiro Shiodera1, Yuko Hara1, Yasunori Taguchi1, Tomoyuki Takeguchi1, Takuya Fujimaki2, Kensuke Shinoda2, Hiroshi Takai2, and Ayako Ninomiya2

1TOSHIBA CORPORATION, Kawasaki, Japan, 2TOSHIBA MEDICAL SYSTEMS CORPORATION, Otawara, Japan

We propose an improved automatic slice positioning algorithm for knee MR which combines conventional machine-learning based landmark detection with advanced image processing techniques. Conventional slice positioning methods determine the diagnostic slice center and orientation by detecting anatomical landmarks in the scout image. However, computing slice positions from landmarks can be inadequate since landmarks vary across patients and can be cut-off from scout images. Here, we use not only landmark detection but also image processing based contour detection of the femoral condyle and angle estimation of the femur and tibia to enable slice positioning for a wider range of scout images.

This abstract and the presentation materials are available to members only; a login is required.

Join Here