Technology | July 31, 2012

MIM Software Releases MIMneuro 5.5 Featuring Quantitative Analysis of Amyloid Images

July 31, 2012 — MIM Software Inc. has announced the latest release of its MIMneuro software. Version 5.5 includes three new enhancements that make it particularly suited for quantitative analysis of amyloid positron emission tomography (PET) images.

Traditionally the variability in uptake patterns with targeted tracers such as amyloid PET agents have confounded single template registration approaches. The MIM BrainAlign deformable registration algorithm includes the ability to deformably register to multiple templates simultaneously. With this landmark-based deformable registration approach, local differences in anatomy can be resolved more accurately than with affine registration or other deformable registration approaches.

MIM Software has also worked with experts in the field to define and release a third anatomical brain atlas. This probabilistic amyloid atlas is a tool specifically tuned for performing quantitative regional analysis on amyloid PET images. A database of healthy controls has also been integrated for statistical analysis of amyloid PET images.

MIMneuro 5.5 combines these three new features with existing tools for statistical comparisons — including voxel-based analysis, region-based analysis, standardized uptake value (SUV) computation, cluster analysis and surface projection analysis — into a comprehensive quantitative functional neuroimaging software.

For more information: www.mimsoftware.com

Related Content

M*Modal and Community Health Network Partner on AI-powered Clinical Documentation
News | PACS Accessories | June 13, 2019
M*Modal announced that the company and Community Health Network (CHNw) are collaborating to transform the patient-...
A static image drawn from a stack of brain MR images may illustrate the results of a study. But a GIF (or MP4 movie), created by the Cinebot plug-in, can scroll through that stack, providing teaching moments for residents and fellows at Georgetown University

A static image drawn from a stack of brain MR images may illustrate the results of a study. But a GIF (or MP4 movie), created by the Cinebot plug-in, can scroll through that stack, providing teaching moments for residents and fellows at Georgetown University. Image courtesy of MedStar Georgetown University Hospital

Feature | Information Technology | June 13, 2019 | By Greg Freiherr
Editor’s note: This article is the third in a content series by Greg Freiherr covering the Society for Imaging In
Studycast PACS Adds Two-factor Authentication to Improve Data Privacy and Security
News | Cybersecurity | June 12, 2019
Core Sound Imaging announced the addition of two-factor authentication (2FA) to the security measures available for the...
The Current Direction of Healthcare Reform Explained by CMS Administrator Seema Verma
News | Radiology Business | June 11, 2019
June 11, 2019 — Centers for Medicare and Medicaid Services (CMS) Administrator Seema Verma addressed the American Med
Medivis SurgicalAR Gets FDA Clearance
Technology | Virtual and Augmented Reality | June 10, 2019
Medivis announced that its augmented reality (AR) technology platform for surgical applications, SurgicalAR, has...
Glassbeam Announces New Clinsights Application Suite for Healthcare Provider Market
Technology | Analytics Software | June 10, 2019
Glassbeam launched Clinsights, a new revitalized application suite powered by artificial intelligence/machine learning...
The DeepAAA algorithm, developed at the MGH & BWH Center for Clinical Data Science, accurately detected and measured an abdominal aortic aneurysm (AAA) in a CT image even though appearance of the AAA was complicated by a blood clot

The DeepAAA algorithm, developed at the MGH & BWH Center for Clinical Data Science, accurately detected and measured an abdominal aortic aneurysm (AAA) in a CT image even though appearance of the AAA was complicated by a blood clot. (The algorithm drew a green circle around the aneurysm.) Image courtesy of Varun Buch, MGH & BWH Center for Clinical Data Science

Feature | Artificial Intelligence | June 10, 2019 | By Greg Freiherr
Editor’s note: This article is the second in a content series by Greg Freiherr covering the ...
A high-fidelity 3-D tractography of the left ventricle heart muscle fibers of a mouse

Figure 1. A high-fidelity 3-D tractography of the left ventricle heart muscle fibers of a mouse from Amsterdam Ph.D. researcher Gustav Strijkers.

News | Magnetic Resonance Imaging (MRI) | June 07, 2019
The Amsterdam University Medical Center has won MR Solutions’ Image of the Year 2019 award for the best molecular...
BGN Technologies Introduces Novel Medical Imaging Radioisotope Production Method
News | Radiopharmaceuticals and Tracers | June 05, 2019
BGN Technologies, the technology transfer company of Ben-Gurion University (BGU), introduced a novel method for...
Client Outlook's eUnity Smartviewer Selected by Duke University Health System
News | Remote Viewing Systems | June 04, 2019
Client Outlook Inc. announced that Duke University Health System has implemented eUnity for enterprise viewing...