Prostate Cancer Grade Mapping with Transrectal Electrical Impedance Tomography

Abstract

The primary objective of this research is to combine advanced integrated electronics with transrectal electrical impedance tomography (TREIT) and electrical impedance sensing biopsy (EIS-Bx) devices to improve TRUS-guided prostate biopsy procedures and help to address the challenge of distinguishing aggressive from indolent disease in men newly diagnosed with prostate cancer. The novelty in this program falls into two categories: 1) we aim to couple our single point EIS-Bx measurement device with an array of electrodes adhered to a standard end-fired TRUS probe (Halters team) and 2) we aim to develop a custom application specific integrated circuit (ASIC) that will enable us to measure these electrical properties over a wide frequency range (optimal for distinguishing high- from low-grade prostate cancer) and at high frame rates (required for real-time prostate biopsy procedures) (Odames team). During the first two years of this study, we focused on designing, implementing and validating (1) a small form-factor EIT based on a custom ASIC chip (2) an EM-tracking approach to capture the surface of the prostate during TRUS, (3) finite element method meshing approaches and reconstruction algorithms for imaging the electrical properties of prostate during an TREIT EIS-Bx procedure. Year 3 focused on further phantom studies and the development of a second version (20-channel) of a miniaturized EIT system. A no-cost-extension period of Year 4 focused on clinical data acquisition from a series of ex vivo human prostates.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2019
Accession Number
AD1097702

Entities

People

  • Kofi Odame
  • Ryan Halter

Tags

Communities of Interest

  • Advanced Electronics
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Application-Specific Integrated Circuits
  • Cardiovascular Physiological Phenomena
  • Computational Science
  • Data Mining
  • Electrical Engineering
  • Electrical Impedance
  • Health Services
  • Information Processing
  • Information Science
  • Machine Learning
  • Mathematical Analysis
  • Medical Personnel
  • Neural Networks
  • Power Electronics
  • Prostate Cancer
  • Supervised Machine Learning
  • Three Dimensional

Fields of Study

  • Physics

Readers

  • Medical Imaging.
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems