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S495

ESTRO 36 2017

_______________________________________________________________________________________________

images showed maximal 95th percentile distortions of

0.39, 0.32, 0.28, and 0.25 pixels for the neck, lungs,

thorax with the lungs excluded, and pelvic region,

respectively. In order to accommodate other field

strengths and bandwidths, normalized displacement

values were also simulated for these body regions.

Table 1: Simulated displacement values normalized to

field strength and bandwidth [pixels * BW / B0]

Conclusion

The 95th percentile of the patient-induced susceptibility

distortions can be kept below 0.5 pixels for a 3 T system

and 440 Hz bandwidth. With the provided normalized

data, distortions for other field strengths and bandwidths

can be calculated. The developed simulation software can

also be used to quickly and easily estimate the

susceptibility-based distortions from a given series of

patient CT images that are converted into susceptibility

values, or directly from a susceptibility map.

PO-0904 Development of an MRI-protocol for

radiotherapy treatment guidance in gastric cancer

V.W.J. Van Pelt

1

, M.F. Kruis

1

, T. Van de Lindt

1

, L.C. Ter

Beek

2

, M. Verheij

1

, U.A. Van der Heide

1

1

Netherlands Cancer Institute Antoni van Leeuwenhoek

Hospital, Radiation Oncology, Amsterdam, The

Netherlands

2

Netherlands Cancer Institute Antoni van Leeuwenhoek

Hospital, Radiology, Amsterdam, The Netherlands

Purpose or Objective

Because of the superior soft-tissue contrast of MRI,

integration of MRI in pre-operative radiotherapy (RT) for

gastric cancer, is expected to improve the identification

of shape and position of the target volume. MRI of the

stomach is technically challenging due to respiratory,

cardiac and bowel motion. In this study we therefore

developed a scan protocol consisting of anatomical and

functional sequences for staging and target delineation

(TD), for treatment planning (TP) including motion

modeling and for intra-fraction motion monitoring (MM).

Material and Methods

For staging and TD we compared high resolution (HR) T2-

weighted (T2w) turbo spin echo (TSE) MRI, applying either

navigator or respiratory sensor triggering during the

exhale position of the diaphragm to reduce motion

artifacts. For TP, the feasibility of a fast 3D HR mDixon

with a large Field of View (FoV) within one exhale breath-

hold (BH) was evaluated. For motion modeling, a 4D T2w

MRI with retrospective self-sorting reconstruction was

tested for robustness

[1]

. For intra-fraction MM, 2D T1w

dynamic turbo field echo (TFE), fast field echo (FFE) and

TSE Cine-MRI with a refocusing pulse were compared. For

staging and treatment response monitoring, a single-shot

echo planar Diffusion Weighted Imaging (DWI) was tested

using b-values of 0, 200 and 800 s/mm², applying either

free-breathing (FB), BH, navigator or respiratory

triggering. For Dynamic contrast enhanced (DCE) MRI, FB

T1w spoiled gradient echo, 4D mDixon and 4D THRIVE with

keyhole technique were compared. Subtraction images

were reconstructed to show the uptake of intravenous

contrast agent.

The sequences were tested on healthy volunteers and one

patient using a 3T MR system (Ingenia; Philips Healthcare,

The Netherlands) and reviewed by two MR-experts and one

radiologist. Pineapple juice was given orally to distend the

stomach and suppress signal from the stomach filling.

Gadolinium was used as intravenous contrast agent for the

patient only.

Results

Visual inspection showed that for TD and staging, T2w

exhale respiratory navigator triggered, rather than a

respiratory sensor, provides excellent contrast with

limited motion artifacts. For TP, mDixon with a large FoV,

a high signal to noise ratio (SNR) and HR in one BH is

feasible. For motion modeling, 4D T2w MRI resulted in a

good slice ordering, high SNR and HR. For MM, TSE Cine-

MRI gave a good SNR and HR without artifacts. For staging

and treatment response monitoring, FB DWI with an

increased number of averages gave the best result, only

limited motion and susceptibility artifacts were visible. FB

4D THRIVE DCE resulted in a good temporal resolution and

limited motion artifacts.

(Figure 1)

Conclusion

We developed a comprehensive imaging protocol for the

entire RT guidance treatment chain. The complex motion

artifacts were reduced by applying either navigator

triggering or BH techniques. The new gastric cancer

protocol looks therefore very promising and will be used

for MR-based delineation for RT.

[1] van de Lindt T, et al. ESTRO 35 2016 Abstract-book:PV-

0325; 171-172

PO-0905 (Semi-)Automatic contouring strategies for

rectal boost treatment on the MR-Linac

C.N. Nomden

1

, M.P.W. Intven

1

, A.N.T.J. Kotte

1

, I.H.

Kiekebosch

1

, S. Mook

1

, I.M. Jürgenliemk-Schulz

1

, G.G.

Sikkes

1

, L.T.C. Meijers

1

, E.N. De Groot

1

, G.H. Bol

1

, B. Van

Asselen

1

, L.G.W. Kerkmeijer

1

, B.W. Raaymakers

1

1

UMC Utrecht, Radiation Oncology, Utrecht, The

Netherlands

Purpose or Objective

The MR-Linac enables online treatment adaptations in

response to changes in anatomy. This stresses the need for

fast contouring strategies for target and OARs.

Unfortunately, manual delineation in an online workflow

is time consuming and therefore suboptimal. The purpose

of this study was to investigate whether automatic and

semi-automatic contouring strategies result in clinical

acceptable contours for an online workflow on the MR-

Linac.

Material and Methods

Fifteen patients with early staged rectal cancer were

scanned at an 1.5T MRI for five consecutive days. The scan

consisted of a T2 weighted MRI; voxelsize 0.63x0.63mm,

slice thickness 4 mm and a total number of 30 slices. For

each scan the following contours were delineated by an

experienced radiation oncologist (manual contours): GTV,

mesorectum, bladder, rectum, sphincter, gynecological

volume (in one contour: vagina, cervix and uterus), left

and right femur. The manual contours of the first day were

used as input for the automatic/semi-automatic

contouring strategies. Automatic contouring software

(ADMIRE research v1.13.5 Elekta AB, Stockholm, Sweden)

was used for MR based deformable registration and