Apparatus for localizing a focal lesion in a biological tissue section

• US 7,583,994 B2
• Filed: 03/03/2004
• Issued: 09/01/2009
• Est. Priority Date: 03/03/2003
• Status: Expired due to Fees

• Current Assignee: Siemens Healthcare GMBH (Siemens AG)
• Original Assignee: Siemens AG
• Inventors: Scholz, Bernhard
• Primary Examiner(s): Hindenburg; Max
• Assistant Examiner(s): HOEKSTRA, JEFFREY GERBEN
• Application Number:
  US10/792,570
• Publication Number:
  US 20040230112A1
• Time in Patent Office: 2,008 Days
• Field of Search: 600/547, 600/546, 600/554
• US Class Current: 600/547
• CPC Class Codes: A61B 5/0536 Impedance imaging, e.g. by tomography

Abstract

An apparatus for localizing a focal lesion in a biological tissue section applies electrical excitation signals to the tissue section and measures electrical response signals at a number of measurement locations on a surface of the tissue section that arise there due to the excitation signals. A computer reconstructs a distribution of electrical dipole moments from the response signals, this distribution of dipole moments overall best reproducing the response signals, and supplies the 3D spatial position of the distribution as an output.

Claims

1. An apparatus for localizing a focal lesion in a biological tissue section, said lesion exhibiting an electrical property that is different from said electrical property of the tissue section, and wherein said electrical property in the tissue section is substantially constant, said apparatus comprising:

a measurement arrangement configured to interact with the tissue section, to apply electrical excitation signals to said tissue section that polarize bioelectric signal sources in said tissue section to produce a distribution of electrical dipole moments in said tissue section, and to measure electrical response signals that occur in response to said excitation signals, and that collectively represent said distribution of electrical dipole moments, at a plurality of measurement locations on a surface of the tissue section; and

a computer supplied with signals corresponding to said electrical response signals, said computer being programmed to reconstruct said distribution of electrical dipole moments from the signals supplied to the computer as a reconstructed distribution that overall best reproduces said signals supplied to the computer, and to determine, from said reconstructed distribution, a three-dimensional spatial location of said lesion and to determine, from said signals corresponding to said electrical response signals, an indicator as to whether said lesion is pathological, and to make said three-dimensional location and said indicator available as a humanly perceptible output.

2. An apparatus as claimed in claim 1 wherein said computer has a memory containing a gridded model of the biological tissue section and is programmed to generate leads fields that describe said signals supplied to the computer with respect to electrical dipole moments, in said distribution of electrical dipole moments at respective locations in said model.

3. An apparatus as claimed in claim 2 wherein said computer is programmed to determine a depth location of said lesion in said tissue as a part of said 3D spatial location, by determining, from said distribution of electrical dipole moments, respective distributions of electrical dipole moments in a plurality of layers in said model, and by identifying a layer among said plurality of layers having a distribution of electrical dipole moments therein with a minimum energy as representing the depth location of the lesion in the tissue section.

4. An apparatus as claimed in claim 1 wherein said measurement arrangement applies a series of said electrical excitation signals to said tissue section at respectively different frequencies, and wherein said computer is programmed to reconstruct said distribution of electrical dipole moments for each of said frequencies, thereby producing a plurality of distributions of electrical dipole moments for the respective frequencies.

5. An apparatus as claimed in claim 4 wherein said computer is programmed to classify said lesion, with respect to pathology, dependent on a frequency response of the respective of electrical dipole moments, and to include a classification of said lesion as said indicator in said humanly perceptible output.