Analyze Publications Database

Semiautomatic segmentation and follow-up of multicomponent low-grade tumors in longitudinal brain MRI studies

Weizman L, Sira LB, Joskowicz L, Rubin DL, Yeom KW, Constantini S, Shofty B, Bashat DB. Semiautomatic segmentation and follow-up of multicomponent low-grade tumors in longitudinal brain MRI studies. Med Phys. May 2014;41(5):052303.

Publication Date
May 2014

How Analyze was Used
“One radiologist from each institution manually produced segmentations for the scans acquired at his/her institution using Analyze 10 … These segmentations are considered as the gold standard. The tumors consist of three different internal components: solid, enhancing and cyst, therefore NC = 3.”

Keywords
Adolescent
Algorithms
Astrocytoma/pathology
Brain/pathology
Brain Neoplasms/pathology
Child
Child, Preschool
Disease Progression
Follow-Up Studies
Glioma/pathology
Humans
Image Interpretation, Computer-Assisted/methods
Longitudinal Studies
Magnetic Resonance Imaging (MRI)/methods
Neoplasm Staging
Normal Distribution
Optic Tract/pathology
Reproducibility of Results
Retrospective Studies
Sensitivity and Specificity

Author Affiliation(s)
School of Engineering and Computer Science, The Hebrew University of Jerusalem, Jerusalem 91904, Israel. (LW)

Department of Radiology, Tel Aviv Medical Center, Tel Aviv University, Tel Aviv 64239, Israel. (LBS)

School of Engineering and Computer Science and The Edmond and Lily Safra Center for Brain Sciences (ELSC), The Hebrew University of Jerusalem, Jerusalem 91904, Israel. (LJ)

Department of Radiology, Stanford University, Stanford, CA 94305, US. (DLR, KWY)

Tel Aviv Medical Center, Dana Children’s Hospital, Tel Aviv University, Tel Aviv 64239, Israel. (SC, BS)

Tel Aviv Medical Center, Functional Brain Center, Tel Aviv University, Tel Aviv 64239, Israel. (DBB)

ID# 1534

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