Spatial View Healthcare

Nov 7, 2006

2006 11 07 15 29 58 706

This Halifax, Nova Scotia, company will demonstrate Spatial View 3D Medical, which enables the review of 3D stereoscopic images without the use of special glasses or headgear.

Spatial View's SVI 3D medical workstation is based on autostereoscopic spatial imaging, an interaction technology from Spatial View that has been combined with a DICOM-compliant software interface from French advanced visualization developer Intrasense.

The SVI 3D workstation consists of two monitors, one that displays a conventional 2D screen and the other, based on the company's SeeFront technology, equipped with eye tracking. Rather than using a mouse to interact with the data, the workstation employs SVI Space Tool, which Spatial View calls a "machine vision-based interaction technology." The tool gives users new flexibility for navigating and manipulating volumetric data, according to the company.

The workstation can operate either as a standalone device or as a computer networked with a facility's PACS, and accepts images from any DICOM-based modality, including CT, MRI, PET, and ultrasound.

The software includes multiple 2D and 3D methods for viewing and manipulating data, including multiplanar reformatting (MPR), "thick" MPR, 2D/3D synchronization, and a variety of study export options. The software is currently available worldwide.

By Brian Casey
AuntMinnie.com staff writer
November 8, 2006

Copyright © 2006 AuntMinnie.com

Fat Tissue Adipocytes

ECR: AI algorithm quantifies fatty tissue on chest CT for lung cancer prognosis

March 3, 2024

Can new image processing methods deliver reproducible radiomics?

February 7, 2024

AI predicts cardiovascular disease mortality risk on chest CT

December 19, 2023

MRI images of a knee joint of a patient showing (left) severe cartilage defects compared to a patient with an intact knee joint. Image courtesy of Upadhyay Bharadwaj, MD

MRI muscle volumes linked to risk of TKRs

November 27, 2023

ECR: AI algorithm quantifies fatty tissue on chest CT for lung cancer prognosis

By Kate Madden Yee

A deep-learning algorithm used with chest CT could help clinicians quantify patients' subcutaneous fat tissue levels on lung cancer screening.

March 3, 2024

Fat Tissue Adipocytes

Can new image processing methods deliver reproducible radiomics?

By Erik L. Ridley

A multinational team of researchers has developed standardized image processing techniques that show promise for significantly improving the reproducibility of AI-based radiomics analysis.

February 7, 2024

AI predicts cardiovascular disease mortality risk on chest CT

By Erik L. Ridley

A deep-learning algorithm could predict a patient’s risk of atherosclerotic cardiovascular disease from analysis of noncontrast-enhanced chest CT exams.

December 19, 2023

MRI muscle volumes linked to risk of TKRs

Having stronger thigh muscles may lower the odds of total knee replacement (TKR) surgery in patients with osteoarthritis.

November 27, 2023

MRI images of a knee joint of a patient showing (left) severe cartilage defects compared to a patient with an intact knee joint. Image courtesy of Upadhyay Bharadwaj, MD

Morphological markers culled from MRI exams help diagnose autism

By Kate Madden Yee

Morphological markers culled from diffusion tensor MRI brain scans using an AI algorithm can help accurately diagnose autism in young children.

November 21, 2023

The top five white matter features (region pairs) in a single image. The color map is: yellow = superior cerebellar peduncle (R)/uncinate fasciculus (R), orange = column and body of fornix/posterior corona radiata (L), purple = splenium/retrolenticular internal capsule (L), blue = dorsal cingulum (L)/cres of fornix (R), green = splenium/external capsule (R). Image and caption courtesy of the RSNA.

3D CT reconstruction shows ties to malignant pulmonary nodule growth

By Amerigo Allegretto

3D reconstruction of cardiac CT images could aid in follow-up strategies for pulmonary nodule screening.

November 20, 2023

Deep learning helps categorize acute appendicitis on pelvic CT

By Kate Madden Yee

A combined deep learning and radiomics model helps clinicians differentiate complicated from uncomplicated acute appendicitis on pelvic CT.

September 29, 2023

Appendix Blue 400

PET radiomics model identifies high-risk lymphoma patients

A group in the Netherlands has built a radiomics model using FDG-PET scans that predicts disease-free survival odds in patients with relapsed lymphoma.

September 25, 2023

ISCT 2023: Quantitative CT: Not just for bone scanning

By Kate Madden Yee

Quantitative CT is increasingly being used in applications beyond diagnosing and tracking osteoporosis, according to a presentation on September 8 at the International Society of Computed Tomography (ISCT) 2023 meeting in San Diego.

September 12, 2023

2022 07 21 18 40 3375 Ct Scan Patient2 400

RSNA changes tack on quantitative imaging efforts

The RSNA is planning to launch a new Quantitative Imaging Committee with the goal of expanding its quantitative imaging initiatives into areas not currently reached by the Quantitative Imaging Biomarkers Alliance.

September 11, 2023

2022 11 28 16 17 2543 Rsna 2022 Welcome 400

MRI is effective for assessing body composition

By Kate Madden Yee

MRI is just as effective as CT for assessing body composition in obese individuals at risk of conditions such as type 2 diabetes mellitus and nonalcoholic fatty liver and cardiovascular disease, according to a team of researchers from Spain.

September 4, 2023

2021 10 07 21 13 3594 Computer Display Monitor Lab Mri V1 400

DECT improves diagnosis of aggressive liver cancer subtypes

By Kate Madden Yee

With help from AI and radiomics analysis, dual-energy CT (DECT) can be an effective way to diagnose an aggressive macrotrabecular-massive subtype of hepatocellular carcinoma, a research team has found.

August 22, 2023

2018 10 18 23 20 1387 Liver Cancer 400

Page 1 of 156