Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for 18 F-fluorocholine PET-CT regarding image quality and interpretation

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Fältnamn	Indikatorer	Metadata
000		05572naa a2200433 4500
001		oai:lup.lub.lu.se:8a8dc3cd-2bbd-4569-84b6-e4c11ec8b8f4
003		SwePub
008		190401s2019 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://lup.lub.lu.se/record/8a8dc3cd-2bbd-4569-84b6-e4c11ec8b8f42 URI
024	7	a https://doi.org/10.1186/s40658-019-0242-22 DOI
040		a (SwePub)lu
041		a engb eng
042		9 SwePub
072	7	a art2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Bjöersdorff, Mimmiu Lund University,Lunds universitet,Nuklearmedicin, Malmö,Forskargrupper vid Lunds universitet,Nuclear medicine, Malmö,Lund University Research Groups,Skåne University Hospital4 aut0 (Swepub:lu)mi0170bj
245	1 0	a Impact of penalizing factor in a block-sequential regularized expectation maximization reconstruction algorithm for 18 F-fluorocholine PET-CT regarding image quality and interpretation
264		c 2019-03-21
264	1	b Springer Science and Business Media LLC,c 2019
520		a Background: Recently, the block-sequential regularized expectation maximization (BSREM) reconstruction algorithm was commercially introduced (Q.Clear, GE Healthcare, Milwaukee, WI, USA). However, the combination of noise-penalizing factor (β), acquisition time, and administered activity for optimal image quality has not been established for 18 F-fluorocholine (FCH). The aim was to compare image quality and diagnostic performance of different reconstruction protocols for patients with prostate cancer being examined with 18 F-FCH on a silicon photomultiplier-based PET-CT. Thirteen patients were included, injected with 4 MBq/kg, and images were acquired after 1 h. Images were reconstructed with frame durations of 1.0, 1.5, and 2.0 min using β of 150, 200, 300, 400, 500, and 550. An ordered subset expectation maximization (OSEM) reconstruction with a frame duration of 2.0 min was used for comparison. Images were quantitatively analyzed regarding standardized uptake values (SUV) in metastatic lymph nodes, local background, and muscle to obtain contrast-to-noise ratios (CNR) as well as the noise level in muscle. Images were analyzed regarding image quality and number of metastatic lymph nodes by two nuclear medicine physicians. Results: The highest median CNR was found for BSREM with a β of 300 and a frame duration of 2.0 min. The OSEM reconstruction had the lowest median CNR. Both the noise level and lesion SUV max decreased with increasing β. For a frame duration of 1.5 min, the median quality score was highest for β 400-500, and for a frame duration of 2.0 min the score was highest for β 300-500. There was no statistically significant difference in the number of suspected lymph node metastases between the different image series for one of the physicians, and for the other physician the number of lymph nodes differed only for one combination of image series. Conclusions: To achieve acceptable image quality at 4 MBq/kg 18 F-FCH, we propose using a β of 400-550 with a frame duration of 1.5 min. The lower β should be used if a high CNR is desired and the higher if a low noise level is important.
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng
653		a F-FCH
653		a Image quality
653		a Oncology
653		a Protocol optimization
653		a Q.Clear
700	1	a Oddstig, Jennyu Lund University,Lunds universitet,Nuklearmedicin, Malmö,Forskargrupper vid Lunds universitet,Nuclear medicine, Malmö,Lund University Research Groups,Skåne University Hospital4 aut0 (Swepub:lu)med-jot
700	1	a Karindotter-Borgendahl, Ninau Skåne University Hospital,Lund University4 aut
700	1	a Almquist, Helénu Lund University,Lunds universitet,Klinisk fysiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Clinical Physiology (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Skåne University Hospital4 aut0 (Swepub:lu)extLU-691
700	1	a Zackrisson, Sophiau Lund University,Lunds universitet,Diagnostisk radiologi, Malmö,Forskargrupper vid Lunds universitet,Radiology Diagnostics, Malmö,Lund University Research Groups,Skåne University Hospital4 aut0 (Swepub:lu)smi-sza
700	1	a Minarik, Davidu Lund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups,Skåne University Hospital4 aut0 (Swepub:lu)radf-dmi
700	1	a Trägårdh, Elinu Lund University,Lunds universitet,Nuklearmedicin, Malmö,Forskargrupper vid Lunds universitet,WCMM- Wallenberg center för molekylär medicinsk forskning,Medicinska fakulteten,Nuclear medicine, Malmö,Lund University Research Groups,WCMM-Wallenberg Centre for Molecular Medicine,Faculty of Medicine,Skåne University Hospital4 aut0 (Swepub:lu)klin-etr
710	2	a Nuklearmedicin, Malmöb Forskargrupper vid Lunds universitet4 org
773	0	t EJNMMI Physicsd : Springer Science and Business Media LLCg 6:1q 6:1x 2197-7364
856	4	u http://dx.doi.org/10.1186/s40658-019-0242-2x freey FULLTEXT
856	4	u https://ejnmmiphys.springeropen.com/track/pdf/10.1186/s40658-019-0242-2
856	4 8	u https://lup.lub.lu.se/record/8a8dc3cd-2bbd-4569-84b6-e4c11ec8b8f4
856	4 8	u https://doi.org/10.1186/s40658-019-0242-2

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