TORONTO - PET imaging services provider Shared PET Imaging of Canton, OH, is launching its new software business at this week's Society of Nuclear Medicine (SNM) meeting. The company's ClarityFusion division was formed to market a new line of software for viewing fused hybrid images such as PET/CT.
The division's flagship product is ClarityFusion, which is designed to be an economical way for users to view fused images from multiple modalities. Shared PET developed the software for use with its own fixed and mobile PET and PET/CT scanners, and has decided to offer it to the rest of the molecular imaging market as a commercial product.
While scanner OEMs sell image fusion software with their systems, ClarityFusion is designed to offer an alternative that has a lower cost and is easier to use, according to the company.
ClarityFusion enables users to manipulate fused images, such as by rotating images or by adjusting the amount of PET or CT data in an image. The software also supports burning images to CD, and images can be transferred to a PACS via support for the DICOM standard. ClarityFusion has received 510(k) clearance from the Food and Drug Administration, and Clarity Solutions is selling the product directly in a software-only configuration that can be installed on a user's workstation.
By AuntMinnie.com staff writers
June 20, 2005
Related Reading
Shared PET application gets FDA nod, November 22, 2004
Shared PET gets 510(k), July 29, 2004
RFP can define scope, chart success of mobile PET, August 2, 2002
Copyright © 2005 AuntMinnie.com
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=100&q=70&w=100)
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
