International Workshop on Medical Ultrasound Tomography

Session

Session 9: Image processing

Nov 3, 2017, 11:00 AM

Conveners

Session 9: Image processing

• Peter Littrup (Delphinus Medical Technologies)
• Richard Prager (University of Cambridge)

12. Postprocessing workflow of 3D-USCT: bridging the gap to the clinic

Torsten Hopp (Karlsruhe Institute of Technology)

11/3/17, 11:00 AM

Main Track

Oral

As first USCT systems are approaching clinical application, it is an essential task to prepare the reconstructed images for intuitive diagnosis and conform to clinical standards. We describe our post-processing workflow consisting of automated breast segmentation, image fusion, DICOM export, our dedicated USCT DICOM viewer and the methods to transfer images to the clinic.

53. Tissue Characterization With Ultrasound Tomography Machine Learning

Gursharan Sandhu (Delphinus Medical Technologies, Inc.)

11/3/17, 11:20 AM

Main Track

Oral

Ultrasound tomography (UST) generates several different imaging modalities. This includes reflection, sound speed, and attenuation images. The images visualize different types of breast diseases or tissues. Typically, a radiologist views the images to determine a diagnosis for the patient. However, a learning algorithm could be trained to predict diagnosis based on the features contained...

41. Challenges and applications of registering 3D Ultrasound Computer Tomography with conventional breast imaging techniques

Patricia Cotic Smole (Karlsruhe Institute of Technology)

11/3/17, 11:40 AM

Main Track

Oral

For evaluation of the diagnostic value of Ultrasound Computer Tomography (USCT) the imaging results have to be correlated with conventional breast imaging techniques. This is challenging due to different patient positioning in the modalities with nonlinear deformations of the breast tissue. We developed a patient-specific image registration method, which simulates different breast positions...