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Biomedical subjects

Tony Lin

Publications and source records attributed to Tony Lin.

2 recordsLinked to original sources

Laparoscopic Nissen fundoplication without division of short gastric vessels in children.

PURPOSE: It has been suggested that routine division of short gastric vessels (SGVs) results in a more "floppy" Nissen fundoplication leading to improved outcomes, that is, less dysphagia and lower incidences of recurrent gastroesophageal reflux disease (GERD). The aim of this retrospective study was to assess whether laparoscopic Nissen fundoplication without division of SGVs (Rossetti modification) (laparoscopic Nissen-Rossetti fundoplication [LNRF]) is associated with acceptable clinical outcome in children. METHOD: The charts of 368 children who underwent LNRF between January 1996 and September 2004 by 1 primary surgeon were retrospectively reviewed. Children were divided into 2 groups: LNRF + gastrostomy (A) and LNRF alone (B). Mean follow-up period of all groups was 4.2 years. RESULTS: Laparoscopic Nissen-Rossetti fundoplication was completed in 99% (365/368). Mean operating time for group A was 74 minutes and 61 minutes for group B. None in group A required postoperative esophageal dilatation, and 9 in group B (22.5%) required 12 dilatations; 3.6% developed recurrent GERD, 3.7% in group A and 2.5% in group B. CONCLUSION: Laparoscopic Nissen-Rossetti fundoplication can be performed with acceptable long-term outcome in children, especially in the majority also requiring chronic gastrostomy access. Short-term, reversible dysphagia may be seen in a small percentage of children having fundoplication alone.

Adolescent↗

Compound image compression for real-time computer screen image transmission.

We present a compound image compression algorithm for real-time applications of computer screen image transmission. It is called shape primitive extraction and coding (SPEC). Real-time image transmission requires that the compression algorithm should not only achieve high compression ratio, but also have low complexity and provide excellent visual quality. SPEC first segments a compound image into text/graphics pixels and pictorial pixels, and then compresses the text/graphics pixels with a new lossless coding algorithm and the pictorial pixels with the standard lossy JPEG, respectively. The segmentation first classifies image blocks into picture and text/graphics blocks by thresholding the number of colors of each block, then extracts shape primitives of text/graphics from picture blocks. Dynamic color palette that tracks recent text/graphics colors is used to separate small shape primitives of text/graphics from pictorial pixels. Shape primitives are also extracted from text/graphics blocks. All shape primitives from both block types are losslessly compressed by using a combined shape-based and palette-based coding algorithm. Then, the losslessly coded bitstream is fed into a LZW coder. Experimental results show that the SPEC has very low complexity and provides visually lossless quality while keeping competitive compression ratios.

Algorithms↗