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RAPT: A Parallel Radiotherapy Treatment Planning Code

RAPT: A Parallel Radiotherapy Treatment Planning Code
RAPT: A Parallel Radiotherapy Treatment Planning Code
We describe the RAPT prototype software package for stereotactic radiotherapy treatment planning, which has been developed as part of the ESPRIT EUROPORT project for creating parallel high-performance computing (HPC) versions of commercially significant codes. This paper focuses on the parallel high-performance simulation kernel, and describes its implementation, and performance measurements for both accuracy and computation time. These show that a fully 3-D Monte-Carlo simulation, taking account of tissue inhomogeneities can be performed in around 1 hour an acceptable delay for clinical use. Every year 700,000 Europeans die of cancer, and 1.2 million contract the disease. About a quarter of the new cases each year receive radiosurgery, but 20 per cent of these treatments fail either because the tumours are not precisely located, or the irradiation does not reach every part of them. By making available an accurate simulation on a platform which is affordable by a typical, medium-sized hospital radiotherapy department, RAPT has the potential to improve treatment in many of these cases, and so to make a direct impact on patient care.
183-193
Gill, A
98b611df-897b-4416-932b-e14f97309a83
Surridge, M
3bd360fa-1962-4992-bb16-12fc4dd7d9a9
Scielzo, G
d0a22ec4-ba48-4ddb-94c7-a48208e8e468
Felici, R
8edde883-1cd6-4458-84b7-822cc2bb741e
Modesti, M
7db87304-80c1-4d2b-b70a-20cd253d2fde
Sardu, G
9084d14d-bf9d-47e4-833f-cfecaa6fe62a
Liddel, H
61c33674-3f73-4d29-bc8c-1c4f47c71e0f
Colbrook, A
68f3ab36-c8f2-4223-b175-aae3f4d286e5
Hertzberger, B
71511c42-7d36-47a2-8366-f53431af12be
Sloot, P
e0c64d9b-8502-42b6-aea3-ad483dfd320a
Gill, A
98b611df-897b-4416-932b-e14f97309a83
Surridge, M
3bd360fa-1962-4992-bb16-12fc4dd7d9a9
Scielzo, G
d0a22ec4-ba48-4ddb-94c7-a48208e8e468
Felici, R
8edde883-1cd6-4458-84b7-822cc2bb741e
Modesti, M
7db87304-80c1-4d2b-b70a-20cd253d2fde
Sardu, G
9084d14d-bf9d-47e4-833f-cfecaa6fe62a
Liddel, H
61c33674-3f73-4d29-bc8c-1c4f47c71e0f
Colbrook, A
68f3ab36-c8f2-4223-b175-aae3f4d286e5
Hertzberger, B
71511c42-7d36-47a2-8366-f53431af12be
Sloot, P
e0c64d9b-8502-42b6-aea3-ad483dfd320a

Gill, A, Surridge, M, Scielzo, G, Felici, R, Modesti, M and Sardu, G (1996) RAPT: A Parallel Radiotherapy Treatment Planning Code. Liddel, H, Colbrook, A, Hertzberger, B and Sloot, P (eds.) High Performance Computing and Networking, Belgium. 15 - 19 Apr 1996. pp. 183-193 .

Record type: Conference or Workshop Item (Other)

Abstract

We describe the RAPT prototype software package for stereotactic radiotherapy treatment planning, which has been developed as part of the ESPRIT EUROPORT project for creating parallel high-performance computing (HPC) versions of commercially significant codes. This paper focuses on the parallel high-performance simulation kernel, and describes its implementation, and performance measurements for both accuracy and computation time. These show that a fully 3-D Monte-Carlo simulation, taking account of tissue inhomogeneities can be performed in around 1 hour an acceptable delay for clinical use. Every year 700,000 Europeans die of cancer, and 1.2 million contract the disease. About a quarter of the new cases each year receive radiosurgery, but 20 per cent of these treatments fail either because the tumours are not precisely located, or the irradiation does not reach every part of them. By making available an accurate simulation on a platform which is affordable by a typical, medium-sized hospital radiotherapy department, RAPT has the potential to improve treatment in many of these cases, and so to make a direct impact on patient care.

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More information

Published date: 1996
Additional Information: Lecture Notes in Computer Science Event Dates: 15-19 April 1996
Venue - Dates: High Performance Computing and Networking, Belgium, 1996-04-15 - 1996-04-19
Organisations: Electronics & Computer Science, IT Innovation

Identifiers

Local EPrints ID: 252523
URI: https://eprints.soton.ac.uk/id/eprint/252523
PURE UUID: 93dee7e6-cd5c-464a-955f-86a3ac287153

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Date deposited: 21 Mar 2003
Last modified: 16 Jul 2019 23:07

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