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Imaging Studies III: Computed Tomography01:27

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

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Clinical Imaging of Microwave Mammography
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Published on: November 14, 2025

Recoverability-guided reduced-target inversion for microwave imaging: a synthetic breast-imaging study.

Lulu Wang1,2

  • 1Department of Engineering, Reykjavik University, Reykjavik 102, Iceland.

Biomedical Physics & Engineering Express
|June 25, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a recoverability-guided framework to improve microwave breast imaging by reducing complex parameter spaces. The method enhances inversion stability and accuracy by focusing on measurable variables, outperforming standard techniques.

Keywords:
Jacobian analysisinverse scatteringlatent-space inversionmicrowave imagingobservability

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Area of Science:

  • Medical Imaging
  • Electromagnetics
  • Computational Science

Background:

  • Microwave breast imaging inversions often use complex parameter spaces with non-recoverable variables.
  • Existing methods struggle with ill-posed inverse problems due to measurement limitations.

Purpose of the Study:

  • To develop a recoverability-guided inversion framework for microwave breast imaging.
  • To construct an inverse target based on measurement-supported directions and noise-weighted Jacobians.

Main Methods:

  • Classified candidate latent variables into observable, weakly inferable, or strongly confounded categories.
  • Constructed a reduced target by retaining separable variables and using composite descriptors for confounded ones.
  • Defined a weighting matrix based on measurement-noise covariance to evaluate observability.

Main Results:

  • The reduced target significantly improved the conditioning of the local Jacobian.
  • Preserved projected inversion error compared to unreduced latent-state inversion.
  • Outperformed principal component analysis baseline under tested noise conditions.

Conclusions:

  • Recoverability-guided target construction is a viable proof-of-concept for acquisition-aware microwave inverse problems.
  • This approach enhances the stability and accuracy of microwave breast imaging inversions.
  • Further research is needed for clinical validation of microwave breast imaging.