Implementation of a Novel Algorithm For Generating Synthetic CT Images From Magnetic Resonance Imaging Data Sets for Prostate Cancer Radiation Therapy
To describe and evaluate a method for generating synthetic computed tomography (synCT) images from magnetic resonance simulation (MR-SIM) data for accurate digitally reconstructed radiograph (DRR) generation and dose calculations in prostate cancer radiation therapy.
Gespeichert in:
| Autor*in: |
Kim, Joshua [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
|---|
| Umfang: |
9 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Xiaokeping-induced autophagy protects pancreatic β-cells against apoptosis under high glucose stress - Wu, Yanyang ELSEVIER, 2018, the official journal of the American Society for Therapeutic Radiology and Oncology, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:91 ; year:2015 ; number:1 ; day:1 ; month:01 ; pages:39-47 ; extent:9 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ijrobp.2014.09.015 |
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Implementation of a Novel Algorithm For Generating Synthetic CT Images From Magnetic Resonance Imaging Data Sets for Prostate Cancer Radiation Therapy |
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To describe and evaluate a method for generating synthetic computed tomography (synCT) images from magnetic resonance simulation (MR-SIM) data for accurate digitally reconstructed radiograph (DRR) generation and dose calculations in prostate cancer radiation therapy. |
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