Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation

TL;DR

This study introduces a novel method that leverages multiple phases of multiphase CT scans to enhance image quality, thereby improving pancreas segmentation accuracy for better pancreatic cancer management.

Contribution

The paper presents the first approach to use multiphase CT data for scan quality enhancement and improved segmentation performance.

Findings

Enhanced pancreas segmentation by 3% using the proposed method.

First to utilize multiphase CT for quality improvement and segmentation.

Developed a 3D progressive fusion and non-local network for enhancement.

Abstract

Multiphase CT studies are routinely obtained in clinical practice for diagnosis and management of various diseases, such as cancer. However, the CT studies can be acquired with low radiation doses, different scanners, and are frequently affected by motion and metal artifacts. Prior approaches have targeted the quality improvement of one specific CT phase (e.g., non-contrast CT). In this work, we hypothesized that leveraging multiple CT phases for the quality enhancement of one phase may prove advantageous for downstream tasks, such as segmentation. A 3D progressive fusion and non-local (PFNL) network was developed. It was trained with three degraded (low-quality) phases (non-contrast, arterial, and portal venous) to enhance the quality of the portal venous phase. Then, the effect of scan quality enhancement was evaluated using a proxy task of pancreas segmentation, which is useful for tracking pancreatic cancer. The proposed approach improved the pancreas segmentation by 3% over the corresponding low-quality CT scan. To the best of our knowledge, we are the first to harness multiphase CT for scan quality enhancement and improved pancreas segmentation.