Online College of PACS Administration

Aug 13, 2008

AuntMinnie.com with herman Oosterwijk fof Otech communications presents the Online College of PACS Administration.


	Learn how to protect yourself and your coworkers against hazards in the healthcare environment by clicking here. In this presentation, learn how to establish a program for image display and quality control, based on DICOM and AAPM recommendations. Click here to get started. Learn the keys to successfully integrating digital modalities with PACS by clicking here. Getting external imaging studies into your PACS can be a challenge for any PACS administrator. Find out how to do it right by clicking here. Learn how to get the most out of your network and boost system uptime in this course by clicking here. PACS isn't just for radiology anymore. Learn about the best ways to deliver images from your PACS to the rest of the healthcare enterprise by clicking here
Copyright © 2008 AuntMinnie.com. All Rights Reserved.

Mammogram Patient

Mammo uptake among veterans on par with nonveterans

April 25, 2025

Patient examples of SPECT/CT and PET/CT RECIP 1.0. (A) SPECT and PET maximum-intensity projection (MIP) images in 74-year-old man with mCRPC. Serum PSA level at baseline was 449 ng/mL and slightly increased to 525 ng/mL after two cycles of Lu-177 PSMA. Eastern Cooperative Oncology Group (ECOG) score was 2 at baseline and increased to 3 after 2 cycles. The patient was classified by readers as RECIP-progressive disease on both SPECT and PET. Overall survival was 4.7 months. Two cycles of Lu-177 PSMA were administered. (B) SPECT and PET MIP images in 74-year-old man with mCRPC. Serum PSA level was 231 ng/mL at baseline and decreased to 12.5 ng/mL after 2 cycles of Lu-177 PSMA. ECOG score was less than 2 at baseline and after 2 cycles of Lu-177 PSMA. The patient was classified by readers as RECIP-partial response on both SPECT and PET. Overall survival was 14.3 months. Four cycles of Lu-177 PSMA were administered.

SPECT/CT predicts overall survival in Pluvicto patients

April 25, 2025

Glioma Letters Brain

AI-assisted brain MRI shows promise for improved glioma care

April 25, 2025

2025 04 23 Ajr Vosshenrich Thumbnail

Deep-learning technique boosts diagnostic ability of fast knee MRI

April 24, 2025

Mammo uptake among veterans on par with nonveterans

By Amerigo Allegretto

Female veterans are as likely to undergo screening mammography as nonveteran women.

April 25, 2025

Mammogram Patient

SPECT/CT predicts overall survival in Pluvicto patients

New evidence supports using SPECT/CT scans along with serum PSA levels to evaluate early patient responses to Pluvicto treatment.

April 25, 2025

Patient examples of SPECT/CT and PET/CT RECIP 1.0. (A) SPECT and PET maximum-intensity projection (MIP) images in 74-year-old man with mCRPC. Serum PSA level at baseline was 449 ng/mL and slightly increased to 525 ng/mL after two cycles of Lu-177 PSMA. Eastern Cooperative Oncology Group (ECOG) score was 2 at baseline and increased to 3 after 2 cycles. The patient was classified by readers as RECIP-progressive disease on both SPECT and PET. Overall survival was 4.7 months. Two cycles of Lu-177 PSMA were administered. (B) SPECT and PET MIP images in 74-year-old man with mCRPC. Serum PSA level was 231 ng/mL at baseline and decreased to 12.5 ng/mL after 2 cycles of Lu-177 PSMA. ECOG score was less than 2 at baseline and after 2 cycles of Lu-177 PSMA. The patient was classified by readers as RECIP-partial response on both SPECT and PET. Overall survival was 14.3 months. Four cycles of Lu-177 PSMA were administered.

AI-assisted brain MRI shows promise for improved glioma care

By Kate Madden Yee

An AI-based technique used to analyze brain MRI exams taken of children with gliomas shows promise for predicting recurrence.

April 25, 2025

Glioma Letters Brain

Deep-learning technique boosts diagnostic ability of fast knee MRI

By Kate Madden Yee

A new, fast deep learning-based MR imaging technique shows excellent performance for diagnosing knee injuries, researchers have reported.

April 24, 2025

2025 04 23 Ajr Vosshenrich Thumbnail

PET scans identify people at early risk for cognitive decline

Amyloid PET scans in people with early signs of Alzheimer’s can identify those at higher risk of progressing to cognitive decline.

April 24, 2025

Ad Voxels Thumbnail

Most veterans adhere to post-EVAR surveillance imaging

By Amerigo Allegretto

Adherence to surveillance imaging after endovascular abdominal aortic aneurysm repair (EVAR) is high among veterans.

April 24, 2025

Heart Valves 3 D Base Thumbnail

Quantitative CT textures of the lung help assess COPD severity

By Kate Madden Yee

Quantitative CT can capture lung inflammation patterns to assess the severity of chronic obstructive pulmonary disease (COPD).

April 23, 2025

Health data restrictions plague medtech AI developers

Medtech industry and health leaders from big tech have introduced a new AI Policy Roadmap.

April 23, 2025

Data Protection Nijat

ACS: Breast cancer screening rates have recovered post-COVID

By Kate Madden Yee

Rates of up-to-date breast cancer screening have recovered after declining during the COVID-19 pandemic.

April 23, 2025

Breast Screening Mammo

Lung POCUS helps diagnose dyspnea in emergency departments

By Amerigo Allegretto

Point-of-care lung ultrasound may be useful in the emergency department for diagnosing dyspnea.

April 23, 2025

Images show lung ultrasound findings of major pleuro-pulmonary pathologies. (a) Pleural effusion; (b) Pneumonia; (c) Bronchopneumonia; (d) Acute pulmonary edema; (e) Chronic obstructive pulmonary disease exacerbation; (f) Pleuropulmonary tumors; (g) Acute respiratory distress syndrome.

MRI tool segments over 60 abdominal organs, structures

By Amerigo Allegretto

An automated multiorgan tool can accurately segment T1-weighted abdominal MR images.

April 22, 2025

2025 04 22 Radiology Mrisegmenter Thumbnail

AI produces synthetic 3T MR images from portable scans

By Erik L. Ridley

Findings show that AI could potentially expand the utility of neuroimaging on portable MRI systems.

April 22, 2025

Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.

Page 1 of 132