唯名醫療科技PrivacyPROMedical Technology

PMTaro,

where imaging data works for you

The Problems

Addressing the persistent challenges faced by both researchers and clinicians in managing and processing imaging data.

  • Fragmented Workflows Most existing tools only cover isolated steps in the imaging workflow, leaving users to juggle multiple platforms and manual processes. This fragmentation creates inefficiencies and increases the risk of errors, highlighting the need for a true “one-stop shop” that supports the entire imaging data lifecycle - from acquisition and management to analysis and reporting.
  • Feature Overload and Complexity Many software solutions are overloaded with features, most of which are rarely used in daily practice. This not only drives up costs but also complicates the user experience, making it harder for teams to focus on what truly matters—efficient and accurate image processing.
  • Limited Customization Existing platforms often restrict workflow customization, forcing users to adapt their processes to the software’s limitations. This lack of flexibility stifles innovation and prevents users from tailoring workflows to their unique research or clinical needs, ultimately hindering productivity and collaboration.

The Solutions

Introduction to PMTaro

PMTaro is a next-generation platform purpose-built to address the persistent challenges faced by researchers and clinicians in radiology and medical imaging. Drawing on deep domain expertise, PMTaro redefines the imaging data lifecycle by providing a unified, streamlined solution that overcomes the fragmentation, complexity, and rigidity of traditional tools.

Introduction to PMTaro

PMTaro is a next-generation platform purpose-built to address the persistent challenges faced by researchers and clinicians in radiology and medical imaging. Drawing on deep domain expertise, PMTaro redefines the imaging data lifecycle by providing a unified, streamlined solution that overcomes the fragmentation, complexity, and rigidity of traditional tools.

Solving Fragmented Workflows

Custom Plugins

Write your own plugin to... 

import numpy as np
from skimage.filters import gaussian
import logging
import time

def smooth_2d(data, sigma=0.3):
    start = time.time()
    print(f"Smooth start with Sigma={sigma}")
    data = gaussian(data, sigma, preserve_range=True)
    print(f"It takes {time.time() - start} sec")
    return data, "this is a text output"

def smooth_3d(data, sigma=0.3):
    start = time.time()
    print(f"Smooth start with Sigma={sigma}")
    data = gaussian(data, sigma, preserve_range=True)
    print(f"It takes {time.time() - start} sec")
    return data, "this is a text output"

Postprocessing Pipelines

Apply plugins to...

Export Outputs

Export your postprocessed data...

About Us

Under the leadership of Professor Weitian Chen, a seasoned expert with over 20 years of experience in R&D of medical imaging technologies, and Dr. Simon Yu, a globally renowned clinical authority in interventional radiology, a multidisciplinary team of specialists in engineering, medicine, and research was formed to drive this initiative.

Our mission is to build an open medical imaging ecosystem that enables collaborative exploration of data value to advance global healthcare. We aim to deliver solutions for comprehensive de-identification, management, and analysis of medical images, breaking down barriers to data distribution and cross-institutional collaboration, and enhancing the research and clinical utility of medical imaging data.