Biopsy workflow using multimodal imaging

US11304683B2 · kind B2 · utility

Assignee

• General Electric Company · US

Inventors

• Jhimli Mitra · Niskayuna, US
• Thomas Kwok-Fah Foo · Clifton Park, US
• Desmond Teck Beng Yeo · Niskayuna, US
• David Martin Mills · Niskayuna, US
• Soumya Ghose · Niskayuna, US
• Michael John MacDonald · Albany, US

Key dates

• Filing date: Sep 13, 2019
• Grant date: Apr 19, 2022
• Expiry date: Jun 29, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30096
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

The subject matter discussed herein relates to multi-modal image alignment to facilitate biopsy procedures and post-biopsy procedures. In one such example, prostate structures (or other suitable anatomic features or structures) are automatically segmented in pre-biopsy MR and pre-biopsy ultrasound images. Thereafter, pre-biopsy MR and pre-biopsy ultrasound contours are aligned. To account for non-linear deformation of the imaged anatomic structure, a patient-specific transformation model is trained via deep learning based at least in part on the pre-biopsy ultrasound images. The pre-biopsy ultrasound images that are overlaid with the pre-biopsy MR contours and based off the deformable transformation model are then aligned with the biopsy ultrasound images. Such real-time alignment using multi-modality imaging techniques provides guidance during the biopsy and post-biopsy system.