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.

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